We recommend the CUB Project Website and the cub-users discussion forum for further information and examples.
CUB is a library of cooperative threadblock primitives and other high performance utilities for CUDA kernel programming. CUB enhances productivity, performance, and portability by providing an abstraction layer over complex threadblock, warp, and thread-level operations.
| Date | Topic | Description |
|---|---|---|
| 04/04/2013 | CUB v0.9.2 Update Release | Minor cosmetic, feature, and compilation updates. See the change-log for further details. |
| 03/06/2013 | CUB v0.9 Preview Release | CUB is the first durable, high-performance library of cooperative threadblock, warp, and thread primitives for CUDA kernel programming. More primitives and examples coming soon! |
#include <cub/cub.cuh>
// An exclusive prefix sum CUDA kernel (for a single-threadblock grid)
template <
int BLOCK_THREADS, // Threads per threadblock
int ITEMS_PER_THREAD, // Items per thread
typename T> // Data type
__global__ void PrefixSumKernel(T *d_in, T *d_out)
{
using namespace cub;
// Parameterize BlockScan for the current execution context
typedef BlockScan<T, BLOCK_THREADS> BlockScan;
// The shared memory needed by BlockScan
__shared__ typename BlockScan::SmemStorage smem_storage;
// A segment of data items per thread
T data[ITEMS_PER_THREAD];
// Load a tile of data using vector-load instructions
BlockLoadVectorized(data, d_in, 0);
// Perform an exclusive prefix sum across the tile of data
BlockScan::ExclusiveSum(smem_storage, data, data);
// Store a tile of data using vector-load instructions
BlockStoreVectorized(data, d_out, 0);
}CUB is developed as an open-source project by NVIDIA Research. The primary contributor is Duane Merrill.
CUB is available under the "New BSD" open-source license:
Copyright (c) 2010-2011, Duane Merrill. All rights reserved.
Copyright (c) 2011-2013, NVIDIA CORPORATION. All rights reserved.
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