cub::DeviceSegmentedSort

Defined in cub/device/device_segmented_sort.cuh

struct DeviceSegmentedSort

DeviceSegmentedSort provides device-wide, parallel operations for computing a batched sort across multiple, non-overlapping sequences of data items residing within device-accessible memory.

Overview

The algorithm arranges items into ascending (or descending) order. The underlying sorting algorithm is undefined. Depending on the segment size, it might be radix sort, merge sort or something else. Therefore, no assumptions on the underlying implementation should be made.

Differences from DeviceSegmentedRadixSort

DeviceSegmentedRadixSort is optimized for significantly large segments (tens of thousands of items and more). Nevertheless, some domains produce a wide range of segment sizes. DeviceSegmentedSort partitions segments into size groups and specialize sorting algorithms for each group. This approach leads to better resource utilization in the presence of segment size imbalance or moderate segment sizes (up to thousands of items). This algorithm is more complex and consists of multiple kernels. This fact leads to longer compilation times as well as larger binaries sizes.

Supported Types

The algorithm has to satisfy the underlying algorithms restrictions. Radix sort usage restricts the list of supported types. Therefore, DeviceSegmentedSort can sort all of the built-in C++ numeric primitive types (unsigned char, int, double, etc.) as well as CUDA’s __half and __nv_bfloat16 16-bit floating-point types.

Segments are not required to be contiguous. Any element of input(s) or output(s) outside the specified segments will not be accessed nor modified.

A simple example

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
int  *d_values_in;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_values_out;      // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [6, 7, 8, 0, 3, 5, 9]
// d_values_out          <-- [1, 2, 0, 5, 4, 3, 6]

Keys-only

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortKeys(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into ascending order. Approximately num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets+1).
SortKeys is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
The range [d_keys_out, d_keys_out + num_items) shall not overlap [d_keys_in, d_keys_in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_keys_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of int keys.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible
// pointers for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void    *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortKeys(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortKeys(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [6, 7, 8, 0, 3, 5, 9]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortKeysDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into descending order. Approximately num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortKeysDescending is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
The range [d_keys_out, d_keys_out + num_items) shall not overlap [d_keys_in, d_keys_in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_keys_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void    *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [8, 7, 6, 9, 5, 3, 0]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortKeys(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into ascending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within the DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets +1).
SortKeys is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let cur = d_keys.Current() and alt = d_keys.Alternate(). The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_keys[i].Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible
// pointers for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
...

// Create a DoubleBuffer to wrap the pair of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortKeys(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortKeys(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [6, 7, 8, 0, 3, 5, 9]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortKeysDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into descending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within the DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortKeysDescending is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let cur = d_keys.Current() and alt = d_keys.Alternate(). The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_keys[i].Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers for
// sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
...

// Create a DoubleBuffer to wrap the pair of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [8, 7, 6, 9, 5, 3, 0]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1<= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortKeys(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into ascending order. Approximately num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortKeys is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
The range [d_keys_out, d_keys_out + num_items) shall not overlap [d_keys_in, d_keys_in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_keys_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void    *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortKeys(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortKeys(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [6, 7, 8, 0, 3, 5, 9]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortKeysDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into descending order. Approximately num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortKeysDescending is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
The range [d_keys_out, d_keys_out + num_items) shall not overlap [d_keys_in, d_keys_in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_keys_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void    *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [8, 7, 6, 9, 5, 3, 0]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done.
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortKeys(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into ascending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within the DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortKeys is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let cur = d_keys.Current() and alt = d_keys.Alternate(). The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_keys[i].Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
...

// Create a DoubleBuffer to wrap the pair of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortKeys(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortKeys(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [6, 7, 8, 0, 3, 5, 9]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortKeysDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of keys into descending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within the DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortKeysDescending is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let cur = d_keys.Current() and alt = d_keys.Alternate(). The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values `i` outside the specified segments ``d_keys.Current()[i], d_keys[i].Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
...

// Create a DoubleBuffer to wrap the pair of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortKeysDescending(
    d_temp_storage, temp_storage_bytes, d_keys,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [8, 7, 6, 9, 5, 3, 0]

Template Parameters

KeyT – [inferred] Key type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done.
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

Key-value pairs

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortPairs(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, const ValueT *d_values_in, ValueT *d_values_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into ascending order. Approximately 2 * num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortPairs is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let in be one of {d_keys_in, d_values_in} and out be any of {d_keys_out, d_values_out}. The range [out, out + num_items) shall not overlap [in, in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_values_in[i], d_keys_out[i], d_values_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
int  *d_values_in;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_values_out;      // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [6, 7, 8, 0, 3, 5, 9]
// d_values_out          <-- [1, 2, 0, 5, 4, 3, 6]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
d_values_in – [in] Device-accessible pointer to the corresponding input sequence of associated value items
d_values_out – [out] Device-accessible pointer to the correspondingly-reordered output sequence of associated value items
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i]-1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortPairsDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, const ValueT *d_values_in, ValueT *d_values_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into descending order. Approximately 2 * num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortPairs is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let in be one of {d_keys_in, d_values_in} and out be any of {d_keys_out, d_values_out}. The range [out, out + num_items) shall not overlap [in, in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_values_in[i], d_keys_out[i], d_values_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers for
// sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
int  *d_values_in;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_values_out;      // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void    *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortPairsDescending(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortPairsDescending(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [8, 7, 6, 9, 5, 3, 0]
// d_values_out          <-- [0, 2, 1, 6, 3, 4, 5]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done.
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
d_values_in – [in] Device-accessible pointer to the corresponding input sequence of associated value items
d_values_out – [out] Device-accessible pointer to the correspondingly-reordered output sequence of associated value items
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortPairs(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, DoubleBuffer<ValueT> &d_values, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into ascending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers and a corresponding pair of associated value buffers. Each pair is managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers within each pair may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within each DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits specified and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortPairs is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let cur be one of {d_keys.Current(), d_values.Current()} and alt be any of {d_keys.Alternate(), d_values.Alternate()}. The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_values.Current()[i], d_keys.Alternate()[i], d_values.Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
int  *d_value_buf;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_value_alt_buf;   // e.g., [-, -, -, -, -, -, -]
...

// Create a set of DoubleBuffers to wrap pairs of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);
cub::DoubleBuffer<int> d_values(d_value_buf, d_value_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortPairs(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [6, 7, 8, 0, 3, 5, 9]
// d_values.Current()    <-- [5, 4, 3, 1, 2, 0, 6]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done.
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
d_values – [inout] Double-buffer of values whose “current” device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t SortPairsDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, DoubleBuffer<ValueT> &d_values, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into descending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers and a corresponding pair of associated value buffers. Each pair is managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers within each pair may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within each DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits specified and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
SortPairsDescending is not guaranteed to be stable. That is, suppose that i and j are equivalent: neither one is less than the other. It is not guaranteed that the relative order of these two elements will be preserved by sort.
Let cur be one of {d_keys.Current(), d_values.Current()} and alt be any of {d_keys.Alternate(), d_values.Alternate()}. The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_values.Current()[i], d_keys.Alternate()[i], d_values.Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers for
// sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
int  *d_value_buf;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_value_alt_buf;   // e.g., [-, -, -, -, -, -, -]
...

// Create a set of DoubleBuffers to wrap pairs of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);
cub::DoubleBuffer<int> d_values(d_value_buf, d_value_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::SortPairsDescending(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::SortPairsDescending(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [8, 7, 6, 9, 5, 3, 0]
// d_values.Current()    <-- [0, 2, 1, 6, 3, 4, 5]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
d_values – [inout] Double-buffer of values whose “current” device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortPairs(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, const ValueT *d_values_in, ValueT *d_values_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into ascending order. Approximately 2 * num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortPairs is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let in be one of {d_keys_in, d_values_in} and out be any of {d_keys_out, d_values_out}. The range [out, out + num_items) shall not overlap [in, in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_values_in[i], d_keys_out[i], d_values_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
int  *d_values_in;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_values_out;      // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortPairs(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [6, 7, 8, 0, 3, 5, 9]
// d_values_out          <-- [1, 2, 0, 5, 4, 3, 6]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done.
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
d_values_in – [in] Device-accessible pointer to the corresponding input sequence of associated value items
d_values_out – [out] Device-accessible pointer to the correspondingly-reordered output sequence of associated value items
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortPairsDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, const KeyT *d_keys_in, KeyT *d_keys_out, const ValueT *d_values_in, ValueT *d_values_out, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into descending order. Approximately 2 * num_items + 2 * num_segments auxiliary storage required.

The contents of the input data are not altered by the sorting operation.
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortPairsDescending is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let in be one of {d_keys_in, d_values_in} and out be any of {d_keys_out, d_values_out}. The range [out, out + num_items) shall not overlap [in, in + num_items), [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys_in[i], d_values_in[i], d_keys_out[i], d_values_out[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_keys_in;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_keys_out;        // e.g., [-, -, -, -, -, -, -]
int  *d_values_in;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_values_out;      // e.g., [-, -, -, -, -, -, -]
...

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortPairsDescending(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortPairsDescending(
    d_temp_storage, temp_storage_bytes,
    d_keys_in, d_keys_out, d_values_in, d_values_out,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys_out            <-- [8, 7, 6, 9, 5, 3, 0]
// d_values_out          <-- [0, 2, 1, 6, 3, 4, 5]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys_in – [in] Device-accessible pointer to the input data of key data to sort
d_keys_out – [out] Device-accessible pointer to the sorted output sequence of key data
d_values_in – [in] Device-accessible pointer to the corresponding input sequence of associated value items
d_values_out – [out] Device-accessible pointer to the correspondingly-reordered output sequence of associated value items
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortPairs(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, DoubleBuffer<ValueT> &d_values, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into ascending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers and a corresponding pair of associated value buffers. Each pair is managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers within each pair may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within each DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits specified and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortPairs is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let cur be one of {d_keys.Current(), d_values.Current()} and alt be any of {d_keys.Alternate(), d_values.Alternate()}. The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_values.Current()[i], d_keys.Alternate()[i], d_values.Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh>
// or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
int  *d_value_buf;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_value_alt_buf;   // e.g., [-, -, -, -, -, -, -]
...

// Create a set of DoubleBuffers to wrap pairs of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);
cub::DoubleBuffer<int> d_values(d_value_buf, d_value_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortPairs(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortPairs(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [6, 7, 8, 0, 3, 5, 9]
// d_values.Current()    <-- [5, 4, 3, 1, 2, 0, 6]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
d_values – [inout] Double-buffer of values whose “current” device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i]-1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.

template<typename KeyT, typename ValueT, typename BeginOffsetIteratorT, typename EndOffsetIteratorT> static inline cudaError_t StableSortPairsDescending(void *d_temp_storage, std::size_t &temp_storage_bytes, DoubleBuffer<KeyT> &d_keys, DoubleBuffer<ValueT> &d_values, int num_items, int num_segments, BeginOffsetIteratorT d_begin_offsets, EndOffsetIteratorT d_end_offsets, cudaStream_t stream = 0)

Sorts segments of key-value pairs into descending order. Approximately 2 * num_segments auxiliary storage required.

The sorting operation is given a pair of key buffers and a corresponding pair of associated value buffers. Each pair is managed by a DoubleBuffer structure that indicates which of the two buffers is “current” (and thus contains the input data to be sorted).
The contents of both buffers within each pair may be altered by the sorting operation.
Upon completion, the sorting operation will update the “current” indicator within each DoubleBuffer wrapper to reference which of the two buffers now contains the sorted output sequence (a function of the number of key bits specified and the targeted device architecture).
When the input is a contiguous sequence of segments, a single sequence segment_offsets (of length num_segments + 1) can be aliased for both the d_begin_offsets and d_end_offsets parameters (where the latter is specified as segment_offsets + 1).
StableSortPairsDescending is stable: it preserves the relative ordering of equivalent elements. That is, if x and y are elements such that x precedes y, and if the two elements are equivalent (neither x < y nor y < x) then a postcondition of stable sort is that x still precedes y.
Let cur be one of {d_keys.Current(), d_values.Current()} and alt be any of {d_keys.Alternate(), d_values.Alternate()}. The range [cur, cur + num_items) shall not overlap [alt, alt + num_items). Both ranges shall not overlap [d_begin_offsets, d_begin_offsets + num_segments) nor [d_end_offsets, d_end_offsets + num_segments) in any way.
Segments are not required to be contiguous. For all index values i outside the specified segments d_keys.Current()[i], d_values.Current()[i], d_keys.Alternate()[i], d_values.Alternate()[i] will not be accessed nor modified.

Snippet

The code snippet below illustrates the batched sorting of three segments (with one zero-length segment) of i nt keys with associated vector of i nt values.

#include <cub/cub.cuh> // or equivalently <cub/device/device_segmented_sort.cuh>

// Declare, allocate, and initialize device-accessible pointers
// for sorting data
int  num_items;          // e.g., 7
int  num_segments;       // e.g., 3
int  *d_offsets;         // e.g., [0, 3, 3, 7]
int  *d_key_buf;         // e.g., [8, 6, 7, 5, 3, 0, 9]
int  *d_key_alt_buf;     // e.g., [-, -, -, -, -, -, -]
int  *d_value_buf;       // e.g., [0, 1, 2, 3, 4, 5, 6]
int  *d_value_alt_buf;   // e.g., [-, -, -, -, -, -, -]
...

// Create a set of DoubleBuffers to wrap pairs of device pointers
cub::DoubleBuffer<int> d_keys(d_key_buf, d_key_alt_buf);
cub::DoubleBuffer<int> d_values(d_value_buf, d_value_alt_buf);

// Determine temporary device storage requirements
void     *d_temp_storage = nullptr;
size_t   temp_storage_bytes = 0;
cub::DeviceSegmentedSort::StableSortPairsDescending(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// Allocate temporary storage
cudaMalloc(&d_temp_storage, temp_storage_bytes);

// Run sorting operation
cub::DeviceSegmentedSort::StableSortPairsDescending(
    d_temp_storage, temp_storage_bytes, d_keys, d_values,
    num_items, num_segments, d_offsets, d_offsets + 1);

// d_keys.Current()      <-- [8, 7, 6, 9, 5, 3, 0]
// d_values.Current()    <-- [0, 2, 1, 6, 3, 4, 5]

Template Parameters

KeyT – [inferred] Key type
ValueT – [inferred] Value type
BeginOffsetIteratorT – [inferred] Random-access input iterator type for reading segment beginning offsets (may be a simple pointer type)
EndOffsetIteratorT – [inferred] Random-access input iterator type for reading segment ending offsets (may be a simple pointer type)

Parameters

d_temp_storage – [in] Device-accessible allocation of temporary storage. When nullptr, the required allocation size is written to temp_storage_bytes and no work is done
temp_storage_bytes – [inout] Reference to size in bytes of d_temp_storage allocation
d_keys – [inout] Reference to the double-buffer of keys whose “current” device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys
d_values – [inout] Double-buffer of values whose “current” device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values
num_items – [in] The total number of items to sort (across all segments)
num_segments – [in] The number of segments that comprise the sorting data
d_begin_offsets – [in]
Random-access input iterator to the sequence of beginning offsets of length num_segments, such that d_begin_offsets[i] is the first element of the i^th data segment in d_keys_* and d_values_*
d_end_offsets – [in]
Random-access input iterator to the sequence of ending offsets of length num_segments, such that d_end_offsets[i] - 1 is the last element of the i^th data segment in d_keys_* and d_values_*. If d_end_offsets[i] - 1 <= d_begin_offsets[i], the i-th segment is considered empty.
stream – [in]
[optional] CUDA stream to launch kernels within. Default is stream₀.