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/******************************************************************************
 * Copyright (c) 2011, Duane Merrill.  All rights reserved.
 * Copyright (c) 2011-2016, NVIDIA CORPORATION.  All rights reserved.
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/**
 * \file
 * cub::BlockRakingLayout provides a conflict-free shared memory layout abstraction for warp-raking across thread block data.
 */


#pragma once

#include "../util_macro.cuh"
#include "../util_arch.cuh"
#include "../util_type.cuh"
#include "../util_namespace.cuh"

/// Optional outer namespace(s)
CUB_NS_PREFIX

/// CUB namespace
namespace cub {

/**
 * \brief BlockRakingLayout provides a conflict-free shared memory layout abstraction for 1D raking across thread block data.    ![](raking.png)
 * \ingroup BlockModule
 *
 * \par Overview
 * This type facilitates a shared memory usage pattern where a block of CUDA
 * threads places elements into shared memory and then reduces the active
 * parallelism to one "raking" warp of threads for serially aggregating consecutive
 * sequences of shared items.  Padding is inserted to eliminate bank conflicts
 * (for most data types).
 *
 * \tparam T                        The data type to be exchanged.
 * \tparam BLOCK_THREADS            The thread block size in threads.
 * \tparam PTX_ARCH                 <b>[optional]</b> \ptxversion
 */
template <
    typename    T,
    int         BLOCK_THREADS,
    int         PTX_ARCH = CUB_PTX_ARCH>
struct BlockRakingLayout
{
    //---------------------------------------------------------------------
    // Constants and type definitions
    //---------------------------------------------------------------------

    enum
    {
        /// The total number of elements that need to be cooperatively reduced
        SHARED_ELEMENTS = BLOCK_THREADS,

        /// Maximum number of warp-synchronous raking threads
        MAX_RAKING_THREADS = CUB_MIN(BLOCK_THREADS, CUB_WARP_THREADS(PTX_ARCH)),

        /// Number of raking elements per warp-synchronous raking thread (rounded up)
        SEGMENT_LENGTH = (SHARED_ELEMENTS + MAX_RAKING_THREADS - 1) / MAX_RAKING_THREADS,

        /// Never use a raking thread that will have no valid data (e.g., when BLOCK_THREADS is 62 and SEGMENT_LENGTH is 2, we should only use 31 raking threads)
        RAKING_THREADS = (SHARED_ELEMENTS + SEGMENT_LENGTH - 1) / SEGMENT_LENGTH,

        /// Whether we will have bank conflicts (technically we should find out if the GCD is > 1)
        HAS_CONFLICTS = (CUB_SMEM_BANKS(PTX_ARCH) % SEGMENT_LENGTH == 0),

        /// Degree of bank conflicts (e.g., 4-way)
        CONFLICT_DEGREE = (HAS_CONFLICTS) ?
            (MAX_RAKING_THREADS * SEGMENT_LENGTH) / CUB_SMEM_BANKS(PTX_ARCH) :
            1,

        /// Pad each segment length with one element if degree of bank conflicts is greater than 4-way (heuristic)
        SEGMENT_PADDING = (CONFLICT_DEGREE > CUB_PREFER_CONFLICT_OVER_PADDING(PTX_ARCH)) ? 1 : 0,
//        SEGMENT_PADDING = (HAS_CONFLICTS) ? 1 : 0,

        /// Total number of elements in the raking grid
        GRID_ELEMENTS = RAKING_THREADS * (SEGMENT_LENGTH + SEGMENT_PADDING),

        /// Whether or not we need bounds checking during raking (the number of reduction elements is not a multiple of the number of raking threads)
        UNGUARDED = (SHARED_ELEMENTS % RAKING_THREADS == 0),
    };


    /**
     * \brief Shared memory storage type
     */



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