block_reduce_raking.cuh

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 * Copyright (c) 2011, Duane Merrill.  All rights reserved.
 * Copyright (c) 2011-2018, NVIDIA CORPORATION.  All rights reserved.
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#pragma once
 
#include "../../block/block_raking_layout.cuh"
#include "../../warp/warp_reduce.cuh"
#include "../../thread/thread_reduce.cuh"
#include "../../util_ptx.cuh"
#include "../../util_namespace.cuh"
 
CUB_NS_PREFIX
 
namespace cub {
 
 
template <
    typename    T,              
    int         BLOCK_DIM_X,    
    int         BLOCK_DIM_Y,    
    int         BLOCK_DIM_Z,    
    int         PTX_ARCH>       
struct BlockReduceRaking
{
    enum
    {
        BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
    };
 
    typedef BlockRakingLayout<T, BLOCK_THREADS, PTX_ARCH> BlockRakingLayout;
 
    typedef typename WarpReduce<T, BlockRakingLayout::RAKING_THREADS, PTX_ARCH>::InternalWarpReduce WarpReduce;
 
    enum
    {
        RAKING_THREADS = BlockRakingLayout::RAKING_THREADS,
 
        SEGMENT_LENGTH = BlockRakingLayout::SEGMENT_LENGTH,
 
        WARP_SYNCHRONOUS = (RAKING_THREADS == BLOCK_THREADS),
 
        WARP_SYNCHRONOUS_UNGUARDED = PowerOfTwo<RAKING_THREADS>::VALUE,
 
        RAKING_UNGUARDED = BlockRakingLayout::UNGUARDED,
 
    };
 
 
    union _TempStorage
    {
        typename WarpReduce::TempStorage            warp_storage;        
        typename BlockRakingLayout::TempStorage     raking_grid;         
    };
 
 
    struct TempStorage : Uninitialized<_TempStorage> {};
 
 
    // Thread fields
    _TempStorage &temp_storage;
    unsigned int linear_tid;
 
 
    __device__ __forceinline__ BlockReduceRaking(
        TempStorage &temp_storage)
    :
        temp_storage(temp_storage.Alias()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}
 
 
    template <bool IS_FULL_TILE, typename ReductionOp, int ITERATION>
    __device__ __forceinline__ T RakingReduction(
        ReductionOp                 reduction_op,       
        T                           *raking_segment,
        T                           partial,            
        int                         num_valid,          
        Int2Type<ITERATION>         /*iteration*/)
    {
        // Update partial if addend is in range
        if ((IS_FULL_TILE && RAKING_UNGUARDED) || ((linear_tid * SEGMENT_LENGTH) + ITERATION < num_valid))
        {
            T addend = raking_segment[ITERATION];
            partial = reduction_op(partial, addend);
        }
        return RakingReduction<IS_FULL_TILE>(reduction_op, raking_segment, partial, num_valid, Int2Type<ITERATION + 1>());
    }
 
    template <bool IS_FULL_TILE, typename ReductionOp>
    __device__ __forceinline__ T RakingReduction(
        ReductionOp                 /*reduction_op*/,   
        T                           * /*raking_segment*/,
        T                           partial,            
        int                         /*num_valid*/,      
        Int2Type<SEGMENT_LENGTH>    /*iteration*/)
    {
        return partial;
    }
 
 
 
    template <
        bool                IS_FULL_TILE,
        typename            ReductionOp>
    __device__ __forceinline__ T Reduce(
        T                   partial,            
        int                 num_valid,          
        ReductionOp         reduction_op)       
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp synchronous reduction (unguarded if active threads is a power-of-two)
            partial = WarpReduce(temp_storage.warp_storage).template Reduce<IS_FULL_TILE>(
                partial,
                num_valid,
                reduction_op);
        }
        else
        {
            // Place partial into shared memory grid.
            *BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid) = partial;
 
            CTA_SYNC();
 
            // Reduce parallelism to one warp
            if (linear_tid < RAKING_THREADS)
            {
                // Raking reduction in grid
                T *raking_segment = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);
                partial = raking_segment[0];
 
                partial = RakingReduction<IS_FULL_TILE>(reduction_op, raking_segment, partial, num_valid, Int2Type<1>());
 
                int valid_raking_threads = (IS_FULL_TILE) ?
                    RAKING_THREADS :
                    (num_valid + SEGMENT_LENGTH - 1) / SEGMENT_LENGTH;
 
                partial = WarpReduce(temp_storage.warp_storage).template Reduce<IS_FULL_TILE && RAKING_UNGUARDED>(
                    partial,
                    valid_raking_threads,
                    reduction_op);
 
            }
        }
 
        return partial;
    }
 
 
    template <bool IS_FULL_TILE>
    __device__ __forceinline__ T Sum(
        T                   partial,            
        int                 num_valid)          
    {
        cub::Sum reduction_op;
 
        return Reduce<IS_FULL_TILE>(partial, num_valid, reduction_op);
    }
 
 
 
};
 
}               // CUB namespace
CUB_NS_POSTFIX  // Optional outer namespace(s)