mirror of https://github.com/jlizier/jidt
83 lines
3.2 KiB
Plaintext
83 lines
3.2 KiB
Plaintext
/******************************************************************************
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* Copyright (c) 2011, Duane Merrill. All rights reserved.
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* Copyright (c) 2011-2016, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the
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* names of its contributors may be used to endorse or promote products
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* derived from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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******************************************************************************/
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/**
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* \file
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* The cub::BlockHistogramAtomic class provides atomic-based methods for constructing block-wide histograms from data samples partitioned across a CUDA thread block.
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*/
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#pragma once
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#include "../../util_namespace.cuh"
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/// Optional outer namespace(s)
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CUB_NS_PREFIX
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/// CUB namespace
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namespace cub {
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/**
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* \brief The BlockHistogramAtomic class provides atomic-based methods for constructing block-wide histograms from data samples partitioned across a CUDA thread block.
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*/
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template <int BINS>
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struct BlockHistogramAtomic
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{
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/// Shared memory storage layout type
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struct TempStorage {};
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/// Constructor
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__device__ __forceinline__ BlockHistogramAtomic(
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TempStorage &temp_storage)
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{}
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/// Composite data onto an existing histogram
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template <
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typename T,
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typename CounterT,
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int ITEMS_PER_THREAD>
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__device__ __forceinline__ void Composite(
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T (&items)[ITEMS_PER_THREAD], ///< [in] Calling thread's input values to histogram
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CounterT histogram[BINS]) ///< [out] Reference to shared/device-accessible memory histogram
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{
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// Update histogram
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#pragma unroll
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for (int i = 0; i < ITEMS_PER_THREAD; ++i)
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{
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atomicAdd(histogram + items[i], 1);
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}
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}
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};
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} // CUB namespace
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CUB_NS_POSTFIX // Optional outer namespace(s)
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