block_store.cuh

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/******************************************************************************
 * Copyright (c) 2011, Duane Merrill.  All rights reserved.
 * Copyright (c) 2011-2018, NVIDIA CORPORATION.  All rights reserved.
 * 
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the
 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 ******************************************************************************/
 
#pragma once
 
#include <iterator>
 
#include "block_exchange.cuh"
#include "../util_ptx.cuh"
#include "../util_macro.cuh"
#include "../util_type.cuh"
#include "../util_namespace.cuh"
 
CUB_NS_PREFIX
 
namespace cub {
 
/******************************************************************/
 
template <
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectBlocked(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD]) 
{
    OutputIteratorT thread_itr = block_itr + (linear_tid * ITEMS_PER_THREAD);
 
    // Store directly in thread-blocked order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        thread_itr[ITEM] = items[ITEM];
    }
}
 
 
template <
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectBlocked(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD], 
    int                 valid_items)                
{
    OutputIteratorT thread_itr = block_itr + (linear_tid * ITEMS_PER_THREAD);
 
    // Store directly in thread-blocked order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        if (ITEM + (linear_tid * ITEMS_PER_THREAD) < valid_items)
        {
            thread_itr[ITEM] = items[ITEM];
        }
    }
}
 
 
template <
    typename            T,
    int                 ITEMS_PER_THREAD>
__device__ __forceinline__ void StoreDirectBlockedVectorized(
    int                 linear_tid,                 
    T                   *block_ptr,                 
    T                   (&items)[ITEMS_PER_THREAD]) 
{
    enum
    {
        // Maximum CUDA vector size is 4 elements
        MAX_VEC_SIZE = CUB_MIN(4, ITEMS_PER_THREAD),
 
        // Vector size must be a power of two and an even divisor of the items per thread
        VEC_SIZE = ((((MAX_VEC_SIZE - 1) & MAX_VEC_SIZE) == 0) && ((ITEMS_PER_THREAD % MAX_VEC_SIZE) == 0)) ?
            MAX_VEC_SIZE :
            1,
 
        VECTORS_PER_THREAD = ITEMS_PER_THREAD / VEC_SIZE,
    };
 
    // Vector type
    typedef typename CubVector<T, VEC_SIZE>::Type Vector;
 
    // Alias global pointer
    Vector *block_ptr_vectors = reinterpret_cast<Vector*>(const_cast<T*>(block_ptr));
 
    // Alias pointers (use "raw" array here which should get optimized away to prevent conservative PTXAS lmem spilling)
    Vector raw_vector[VECTORS_PER_THREAD];
    T *raw_items = reinterpret_cast<T*>(raw_vector);
 
    // Copy
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        raw_items[ITEM] = items[ITEM];
    }
 
    // Direct-store using vector types
    StoreDirectBlocked(linear_tid, block_ptr_vectors, raw_vector);
}
 
 
 
/******************************************************************/
 
 
template <
    int                 BLOCK_THREADS,
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectStriped(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD]) 
{
    OutputIteratorT thread_itr = block_itr + linear_tid;
 
    // Store directly in striped order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        thread_itr[(ITEM * BLOCK_THREADS)] = items[ITEM];
    }
}
 
 
template <
    int                 BLOCK_THREADS,
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectStriped(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD], 
    int                 valid_items)                
{
    OutputIteratorT thread_itr = block_itr + linear_tid;
 
    // Store directly in striped order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        if ((ITEM * BLOCK_THREADS) + linear_tid < valid_items)
        {
            thread_itr[(ITEM * BLOCK_THREADS)] = items[ITEM];
        }
    }
}
 
 
 
/******************************************************************/
 
 
template <
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectWarpStriped(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD]) 
{
    int tid         = linear_tid & (CUB_PTX_WARP_THREADS - 1);
    int wid         = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
    int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
 
    OutputIteratorT thread_itr = block_itr + warp_offset + tid;
 
    // Store directly in warp-striped order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        thread_itr[(ITEM * CUB_PTX_WARP_THREADS)] = items[ITEM];
    }
}
 
 
template <
    typename            T,
    int                 ITEMS_PER_THREAD,
    typename            OutputIteratorT>
__device__ __forceinline__ void StoreDirectWarpStriped(
    int                 linear_tid,                 
    OutputIteratorT     block_itr,                  
    T                   (&items)[ITEMS_PER_THREAD], 
    int                 valid_items)                
{
    int tid         = linear_tid & (CUB_PTX_WARP_THREADS - 1);
    int wid         = linear_tid >> CUB_PTX_LOG_WARP_THREADS;
    int warp_offset = wid * CUB_PTX_WARP_THREADS * ITEMS_PER_THREAD;
 
    OutputIteratorT thread_itr = block_itr + warp_offset + tid;
 
    // Store directly in warp-striped order
    #pragma unroll
    for (int ITEM = 0; ITEM < ITEMS_PER_THREAD; ITEM++)
    {
        if (warp_offset + tid + (ITEM * CUB_PTX_WARP_THREADS) < valid_items)
        {
            thread_itr[(ITEM * CUB_PTX_WARP_THREADS)] = items[ITEM];
        }
    }
}
 
 
 
       // end group UtilIo
 
 
//-----------------------------------------------------------------------------
// Generic BlockStore abstraction
//-----------------------------------------------------------------------------
 
enum BlockStoreAlgorithm
{
    BLOCK_STORE_DIRECT,
 
    BLOCK_STORE_VECTORIZE,
 
    BLOCK_STORE_TRANSPOSE,
 
    BLOCK_STORE_WARP_TRANSPOSE,
 
    BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED,
 
};
 
 
template <
    typename                T,
    int                     BLOCK_DIM_X,
    int                     ITEMS_PER_THREAD,
    BlockStoreAlgorithm     ALGORITHM           = BLOCK_STORE_DIRECT,
    int                     BLOCK_DIM_Y         = 1,
    int                     BLOCK_DIM_Z         = 1,
    int                     PTX_ARCH            = CUB_PTX_ARCH>
class BlockStore
{
private:
    /******************************************************************************
     * Constants and typed definitions
     ******************************************************************************/
 
    enum
    {
        BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
    };
 
 
    /******************************************************************************
     * Algorithmic variants
     ******************************************************************************/
 
    template <BlockStoreAlgorithm _POLICY, int DUMMY>
    struct StoreInternal;
 
 
    template <int DUMMY>
    struct StoreInternal<BLOCK_STORE_DIRECT, DUMMY>
    {
        typedef NullType TempStorage;
 
        int linear_tid;
 
        __device__ __forceinline__ StoreInternal(
            TempStorage &/*temp_storage*/,
            int linear_tid)
        :
            linear_tid(linear_tid)
        {}
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT     block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD]) 
        {
            StoreDirectBlocked(linear_tid, block_itr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT     block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD], 
            int                 valid_items)                
        {
            StoreDirectBlocked(linear_tid, block_itr, items, valid_items);
        }
    };
 
 
    template <int DUMMY>
    struct StoreInternal<BLOCK_STORE_VECTORIZE, DUMMY>
    {
        typedef NullType TempStorage;
 
        int linear_tid;
 
        __device__ __forceinline__ StoreInternal(
            TempStorage &/*temp_storage*/,
            int linear_tid)
        :
            linear_tid(linear_tid)
        {}
 
        __device__ __forceinline__ void Store(
            T                   *block_ptr,                 
            T                   (&items)[ITEMS_PER_THREAD]) 
        {
            StoreDirectBlockedVectorized(linear_tid, block_ptr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT    block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD]) 
        {
            StoreDirectBlocked(linear_tid, block_itr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT     block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD], 
            int                 valid_items)                
        {
            StoreDirectBlocked(linear_tid, block_itr, items, valid_items);
        }
    };
 
 
    template <int DUMMY>
    struct StoreInternal<BLOCK_STORE_TRANSPOSE, DUMMY>
    {
        // BlockExchange utility type for keys
        typedef BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z, PTX_ARCH> BlockExchange;
 
        struct _TempStorage : BlockExchange::TempStorage
        {
            volatile int valid_items;
        };
 
        struct TempStorage : Uninitialized<_TempStorage> {};
 
        _TempStorage &temp_storage;
 
        int linear_tid;
 
        __device__ __forceinline__ StoreInternal(
            TempStorage &temp_storage,
            int linear_tid)
        :
            temp_storage(temp_storage.Alias()),
            linear_tid(linear_tid)
        {}
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT     block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD]) 
        {
            BlockExchange(temp_storage).BlockedToStriped(items);
            StoreDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT   block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD], 
            int                 valid_items)                
        {
            BlockExchange(temp_storage).BlockedToStriped(items);
            if (linear_tid == 0)
                temp_storage.valid_items = valid_items;     // Move through volatile smem as a workaround to prevent RF spilling on subsequent loads
            CTA_SYNC();
            StoreDirectStriped<BLOCK_THREADS>(linear_tid, block_itr, items, temp_storage.valid_items);
        }
    };
 
 
    template <int DUMMY>
    struct StoreInternal<BLOCK_STORE_WARP_TRANSPOSE, DUMMY>
    {
        enum
        {
            WARP_THREADS = CUB_WARP_THREADS(PTX_ARCH)
        };
 
        // Assert BLOCK_THREADS must be a multiple of WARP_THREADS
        CUB_STATIC_ASSERT((BLOCK_THREADS % WARP_THREADS == 0), "BLOCK_THREADS must be a multiple of WARP_THREADS");
 
        // BlockExchange utility type for keys
        typedef BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, false, BLOCK_DIM_Y, BLOCK_DIM_Z, PTX_ARCH> BlockExchange;
 
        struct _TempStorage : BlockExchange::TempStorage
        {
            volatile int valid_items;
        };
 
        struct TempStorage : Uninitialized<_TempStorage> {};
 
        _TempStorage &temp_storage;
 
        int linear_tid;
 
        __device__ __forceinline__ StoreInternal(
            TempStorage &temp_storage,
            int linear_tid)
        :
            temp_storage(temp_storage.Alias()),
            linear_tid(linear_tid)
        {}
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT   block_itr,                    
            T                 (&items)[ITEMS_PER_THREAD])   
        {
            BlockExchange(temp_storage).BlockedToWarpStriped(items);
            StoreDirectWarpStriped(linear_tid, block_itr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT   block_itr,                    
            T                 (&items)[ITEMS_PER_THREAD],   
            int               valid_items)                  
        {
            BlockExchange(temp_storage).BlockedToWarpStriped(items);
            if (linear_tid == 0)
                temp_storage.valid_items = valid_items;     // Move through volatile smem as a workaround to prevent RF spilling on subsequent loads
            CTA_SYNC();
            StoreDirectWarpStriped(linear_tid, block_itr, items, temp_storage.valid_items);
        }
    };
 
 
    template <int DUMMY>
    struct StoreInternal<BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED, DUMMY>
    {
        enum
        {
            WARP_THREADS = CUB_WARP_THREADS(PTX_ARCH)
        };
 
        // Assert BLOCK_THREADS must be a multiple of WARP_THREADS
        CUB_STATIC_ASSERT((BLOCK_THREADS % WARP_THREADS == 0), "BLOCK_THREADS must be a multiple of WARP_THREADS");
 
        // BlockExchange utility type for keys
        typedef BlockExchange<T, BLOCK_DIM_X, ITEMS_PER_THREAD, true, BLOCK_DIM_Y, BLOCK_DIM_Z, PTX_ARCH> BlockExchange;
 
        struct _TempStorage : BlockExchange::TempStorage
        {
            volatile int valid_items;
        };
 
        struct TempStorage : Uninitialized<_TempStorage> {};
 
        _TempStorage &temp_storage;
 
        int linear_tid;
 
        __device__ __forceinline__ StoreInternal(
            TempStorage &temp_storage,
            int linear_tid)
        :
            temp_storage(temp_storage.Alias()),
            linear_tid(linear_tid)
        {}
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT     block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD]) 
        {
            BlockExchange(temp_storage).BlockedToWarpStriped(items);
            StoreDirectWarpStriped(linear_tid, block_itr, items);
        }
 
        template <typename OutputIteratorT>
        __device__ __forceinline__ void Store(
            OutputIteratorT   block_itr,                  
            T                   (&items)[ITEMS_PER_THREAD], 
            int                 valid_items)                
        {
            BlockExchange(temp_storage).BlockedToWarpStriped(items);
            if (linear_tid == 0)
                temp_storage.valid_items = valid_items;     // Move through volatile smem as a workaround to prevent RF spilling on subsequent loads
            CTA_SYNC();
            StoreDirectWarpStriped(linear_tid, block_itr, items, temp_storage.valid_items);
        }
    };
 
    /******************************************************************************
     * Type definitions
     ******************************************************************************/
 
    typedef StoreInternal<ALGORITHM, 0> InternalStore;
 
 
    typedef typename InternalStore::TempStorage _TempStorage;
 
 
    /******************************************************************************
     * Utility methods
     ******************************************************************************/
 
    __device__ __forceinline__ _TempStorage& PrivateStorage()
    {
        __shared__ _TempStorage private_storage;
        return private_storage;
    }
 
 
    /******************************************************************************
     * Thread fields
     ******************************************************************************/
 
    _TempStorage &temp_storage;
 
    int linear_tid;
 
public:
 
 
    struct TempStorage : Uninitialized<_TempStorage> {};
 
 
    /******************************************************************/
 
    __device__ __forceinline__ BlockStore()
    :
        temp_storage(PrivateStorage()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}
 
 
    __device__ __forceinline__ BlockStore(
        TempStorage &temp_storage)             
    :
        temp_storage(temp_storage.Alias()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}
 
 
    /******************************************************************/
 
 
    template <typename OutputIteratorT>
    __device__ __forceinline__ void Store(
        OutputIteratorT     block_itr,                  
        T                   (&items)[ITEMS_PER_THREAD]) 
    {
        InternalStore(temp_storage, linear_tid).Store(block_itr, items);
    }
 
    template <typename OutputIteratorT>
    __device__ __forceinline__ void Store(
        OutputIteratorT     block_itr,                  
        T                   (&items)[ITEMS_PER_THREAD], 
        int                 valid_items)                
    {
        InternalStore(temp_storage, linear_tid).Store(block_itr, items, valid_items);
    }
};
 
 
}               // CUB namespace
CUB_NS_POSTFIX  // Optional outer namespace(s)