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tools/cub-1.8.0/cub/device/dispatch/dispatch_spmv_orig.cuh 32.5 KB
8dcb6dfcb   Yannick Estève   first commit
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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.
   *
   ******************************************************************************/
  
  /**
   * \file
   * cub::DeviceSpmv provides device-wide parallel operations for performing sparse-matrix * vector multiplication (SpMV).
   */
  
  #pragma once
  
  #include <stdio.h>
  #include <iterator>
  
  #include "../../agent/single_pass_scan_operators.cuh"
  #include "../../agent/agent_segment_fixup.cuh"
  #include "../../agent/agent_spmv_orig.cuh"
  #include "../../util_type.cuh"
  #include "../../util_debug.cuh"
  #include "../../util_device.cuh"
  #include "../../thread/thread_search.cuh"
  #include "../../grid/grid_queue.cuh"
  #include "../../util_namespace.cuh"
  
  /// Optional outer namespace(s)
  CUB_NS_PREFIX
  
  /// CUB namespace
  namespace cub {
  
  
  /******************************************************************************
   * SpMV kernel entry points
   *****************************************************************************/
  
  /**
   * Spmv search kernel. Identifies merge path starting coordinates for each tile.
   */
  template <
      typename    AgentSpmvPolicyT,           ///< Parameterized SpmvPolicy tuning policy type
      typename    ValueT,                     ///< Matrix and vector value type
      typename    OffsetT>                    ///< Signed integer type for sequence offsets
  __global__ void DeviceSpmv1ColKernel(
      SpmvParams<ValueT, OffsetT> spmv_params)                ///< [in] SpMV input parameter bundle
  {
      typedef CacheModifiedInputIterator<
              AgentSpmvPolicyT::VECTOR_VALUES_LOAD_MODIFIER,
              ValueT,
              OffsetT>
          VectorValueIteratorT;
  
      VectorValueIteratorT wrapped_vector_x(spmv_params.d_vector_x);
  
      int row_idx = (blockIdx.x * blockDim.x) + threadIdx.x;
      if (row_idx < spmv_params.num_rows)
      {
          OffsetT     end_nonzero_idx = spmv_params.d_row_end_offsets[row_idx];
          OffsetT     nonzero_idx = spmv_params.d_row_end_offsets[row_idx - 1];
  
          ValueT value = 0.0;
          if (end_nonzero_idx != nonzero_idx)
          {
              value = spmv_params.d_values[nonzero_idx] * wrapped_vector_x[spmv_params.d_column_indices[nonzero_idx]];
          }
  
          spmv_params.d_vector_y[row_idx] = value;
      }
  }
  
  
  /**
   * Spmv search kernel. Identifies merge path starting coordinates for each tile.
   */
  template <
      typename    SpmvPolicyT,                    ///< Parameterized SpmvPolicy tuning policy type
      typename    OffsetT,                        ///< Signed integer type for sequence offsets
      typename    CoordinateT,                    ///< Merge path coordinate type
      typename    SpmvParamsT>                    ///< SpmvParams type
  __global__ void DeviceSpmvSearchKernel(
      int             num_merge_tiles,            ///< [in] Number of SpMV merge tiles (spmv grid size)
      CoordinateT*    d_tile_coordinates,         ///< [out] Pointer to the temporary array of tile starting coordinates
      SpmvParamsT     spmv_params)                ///< [in] SpMV input parameter bundle
  {
      /// Constants
      enum
      {
          BLOCK_THREADS           = SpmvPolicyT::BLOCK_THREADS,
          ITEMS_PER_THREAD        = SpmvPolicyT::ITEMS_PER_THREAD,
          TILE_ITEMS              = BLOCK_THREADS * ITEMS_PER_THREAD,
      };
  
      typedef CacheModifiedInputIterator<
              SpmvPolicyT::ROW_OFFSETS_SEARCH_LOAD_MODIFIER,
              OffsetT,
              OffsetT>
          RowOffsetsSearchIteratorT;
  
      // Find the starting coordinate for all tiles (plus the end coordinate of the last one)
      int tile_idx = (blockIdx.x * blockDim.x) + threadIdx.x;
      if (tile_idx < num_merge_tiles + 1)
      {
          OffsetT                         diagonal = (tile_idx * TILE_ITEMS);
          CoordinateT                     tile_coordinate;
          CountingInputIterator<OffsetT>  nonzero_indices(0);
  
          // Search the merge path
          MergePathSearch(
              diagonal,
              RowOffsetsSearchIteratorT(spmv_params.d_row_end_offsets),
              nonzero_indices,
              spmv_params.num_rows,
              spmv_params.num_nonzeros,
              tile_coordinate);
  
          // Output starting offset
          d_tile_coordinates[tile_idx] = tile_coordinate;
      }
  }
  
  
  /**
   * Spmv agent entry point
   */
  template <
      typename        SpmvPolicyT,                ///< Parameterized SpmvPolicy tuning policy type
      typename        ScanTileStateT,             ///< Tile status interface type
      typename        ValueT,                     ///< Matrix and vector value type
      typename        OffsetT,                    ///< Signed integer type for sequence offsets
      typename        CoordinateT,                ///< Merge path coordinate type
      bool            HAS_ALPHA,                  ///< Whether the input parameter Alpha is 1
      bool            HAS_BETA>                   ///< Whether the input parameter Beta is 0
  __launch_bounds__ (int(SpmvPolicyT::BLOCK_THREADS))
  __global__ void DeviceSpmvKernel(
      SpmvParams<ValueT, OffsetT>     spmv_params,                ///< [in] SpMV input parameter bundle
      CoordinateT*                    d_tile_coordinates,         ///< [in] Pointer to the temporary array of tile starting coordinates
      KeyValuePair<OffsetT,ValueT>*   d_tile_carry_pairs,         ///< [out] Pointer to the temporary array carry-out dot product row-ids, one per block
      int                             num_tiles,                  ///< [in] Number of merge tiles
      ScanTileStateT                  tile_state,                 ///< [in] Tile status interface for fixup reduce-by-key kernel
      int                             num_segment_fixup_tiles)    ///< [in] Number of reduce-by-key tiles (fixup grid size)
  {
      // Spmv agent type specialization
      typedef AgentSpmv<
              SpmvPolicyT,
              ValueT,
              OffsetT,
              HAS_ALPHA,
              HAS_BETA>
          AgentSpmvT;
  
      // Shared memory for AgentSpmv
      __shared__ typename AgentSpmvT::TempStorage temp_storage;
  
      AgentSpmvT(temp_storage, spmv_params).ConsumeTile(
          d_tile_coordinates,
          d_tile_carry_pairs,
          num_tiles);
  
      // Initialize fixup tile status
      tile_state.InitializeStatus(num_segment_fixup_tiles);
  
  }
  
  
  /**
   * Multi-block reduce-by-key sweep kernel entry point
   */
  template <
      typename    AgentSegmentFixupPolicyT,       ///< Parameterized AgentSegmentFixupPolicy tuning policy type
      typename    PairsInputIteratorT,            ///< Random-access input iterator type for keys
      typename    AggregatesOutputIteratorT,      ///< Random-access output iterator type for values
      typename    OffsetT,                        ///< Signed integer type for global offsets
      typename    ScanTileStateT>                 ///< Tile status interface type
  __launch_bounds__ (int(AgentSegmentFixupPolicyT::BLOCK_THREADS))
  __global__ void DeviceSegmentFixupKernel(
      PairsInputIteratorT         d_pairs_in,         ///< [in] Pointer to the array carry-out dot product row-ids, one per spmv block
      AggregatesOutputIteratorT   d_aggregates_out,   ///< [in,out] Output value aggregates
      OffsetT                     num_items,          ///< [in] Total number of items to select from
      int                         num_tiles,          ///< [in] Total number of tiles for the entire problem
      ScanTileStateT              tile_state)         ///< [in] Tile status interface
  {
      // Thread block type for reducing tiles of value segments
      typedef AgentSegmentFixup<
              AgentSegmentFixupPolicyT,
              PairsInputIteratorT,
              AggregatesOutputIteratorT,
              cub::Equality,
              cub::Sum,
              OffsetT>
          AgentSegmentFixupT;
  
      // Shared memory for AgentSegmentFixup
      __shared__ typename AgentSegmentFixupT::TempStorage temp_storage;
  
      // Process tiles
      AgentSegmentFixupT(temp_storage, d_pairs_in, d_aggregates_out, cub::Equality(), cub::Sum()).ConsumeRange(
          num_items,
          num_tiles,
          tile_state);
  }
  
  
  /******************************************************************************
   * Dispatch
   ******************************************************************************/
  
  /**
   * Utility class for dispatching the appropriately-tuned kernels for DeviceSpmv
   */
  template <
      typename    ValueT,                     ///< Matrix and vector value type
      typename    OffsetT>                    ///< Signed integer type for global offsets
  struct DispatchSpmv
  {
      //---------------------------------------------------------------------
      // Constants and Types
      //---------------------------------------------------------------------
  
      enum
      {
          INIT_KERNEL_THREADS = 128
      };
  
      // SpmvParams bundle type
      typedef SpmvParams<ValueT, OffsetT> SpmvParamsT;
  
      // 2D merge path coordinate type
      typedef typename CubVector<OffsetT, 2>::Type CoordinateT;
  
      // Tile status descriptor interface type
      typedef ReduceByKeyScanTileState<ValueT, OffsetT> ScanTileStateT;
  
      // Tuple type for scanning (pairs accumulated segment-value with segment-index)
      typedef KeyValuePair<OffsetT, ValueT> KeyValuePairT;
  
  
      //---------------------------------------------------------------------
      // Tuning policies
      //---------------------------------------------------------------------
  
      /// SM11
      struct Policy110
      {
          typedef AgentSpmvPolicy<
                  128,
                  1,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  false,
                  BLOCK_SCAN_WARP_SCANS>
              SpmvPolicyT;
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  4,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_DEFAULT,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
      };
  
      /// SM20
      struct Policy200 
      {
          typedef AgentSpmvPolicy<
                  96,
                  18,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  false,
                  BLOCK_SCAN_RAKING>
              SpmvPolicyT;
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  4,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_DEFAULT,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
  
      };
  
  
  
      /// SM30
      struct Policy300 
      {
          typedef AgentSpmvPolicy<
                  96,
                  6,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  false,
                  BLOCK_SCAN_WARP_SCANS>
              SpmvPolicyT;
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  4,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_DEFAULT,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
  
      };
  
  
      /// SM35
      struct Policy350
      {
          typedef AgentSpmvPolicy<
                  (sizeof(ValueT) > 4) ? 96 : 128,
                  (sizeof(ValueT) > 4) ? 4 : 7,
                  LOAD_LDG,
                  LOAD_CA,
                  LOAD_LDG,
                  LOAD_LDG,
                  LOAD_LDG,
                  (sizeof(ValueT) > 4) ? true : false,
                  BLOCK_SCAN_WARP_SCANS>
              SpmvPolicyT;
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  3,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_LDG,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
      };
  
  
      /// SM37
      struct Policy370
      {
  
          typedef AgentSpmvPolicy<
                  (sizeof(ValueT) > 4) ? 128 : 128,
                  (sizeof(ValueT) > 4) ? 9 : 14,
                  LOAD_LDG,
                  LOAD_CA,
                  LOAD_LDG,
                  LOAD_LDG,
                  LOAD_LDG,
                  false, 
                  BLOCK_SCAN_WARP_SCANS>
              SpmvPolicyT;
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  3,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_LDG,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
      };
  
      /// SM50
      struct Policy500
      {
          typedef AgentSpmvPolicy<
                  (sizeof(ValueT) > 4) ? 64 : 128,
                  (sizeof(ValueT) > 4) ? 6 : 7,
                  LOAD_LDG,
                  LOAD_DEFAULT,
                  (sizeof(ValueT) > 4) ? LOAD_LDG : LOAD_DEFAULT,
                  (sizeof(ValueT) > 4) ? LOAD_LDG : LOAD_DEFAULT,
                  LOAD_LDG,
                  (sizeof(ValueT) > 4) ? true : false,
                  (sizeof(ValueT) > 4) ? BLOCK_SCAN_WARP_SCANS : BLOCK_SCAN_RAKING_MEMOIZE>
              SpmvPolicyT;
  
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  3,
                  BLOCK_LOAD_VECTORIZE,
                  LOAD_LDG,
                  BLOCK_SCAN_RAKING_MEMOIZE>
              SegmentFixupPolicyT;
      };
  
  
      /// SM60
      struct Policy600
      {
          typedef AgentSpmvPolicy<
                  (sizeof(ValueT) > 4) ? 64 : 128,
                  (sizeof(ValueT) > 4) ? 5 : 7,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  LOAD_DEFAULT,
                  false,
                  BLOCK_SCAN_WARP_SCANS>
              SpmvPolicyT;
  
  
          typedef AgentSegmentFixupPolicy<
                  128,
                  3,
                  BLOCK_LOAD_DIRECT,
                  LOAD_LDG,
                  BLOCK_SCAN_WARP_SCANS>
              SegmentFixupPolicyT;
      };
  
  
  
      //---------------------------------------------------------------------
      // Tuning policies of current PTX compiler pass
      //---------------------------------------------------------------------
  
  #if (CUB_PTX_ARCH >= 600)
      typedef Policy600 PtxPolicy;
  
  #elif (CUB_PTX_ARCH >= 500)
      typedef Policy500 PtxPolicy;
  
  #elif (CUB_PTX_ARCH >= 370)
      typedef Policy370 PtxPolicy;
  
  #elif (CUB_PTX_ARCH >= 350)
      typedef Policy350 PtxPolicy;
  
  #elif (CUB_PTX_ARCH >= 300)
      typedef Policy300 PtxPolicy;
  
  #elif (CUB_PTX_ARCH >= 200)
      typedef Policy200 PtxPolicy;
  
  #else
      typedef Policy110 PtxPolicy;
  
  #endif
  
      // "Opaque" policies (whose parameterizations aren't reflected in the type signature)
      struct PtxSpmvPolicyT : PtxPolicy::SpmvPolicyT {};
      struct PtxSegmentFixupPolicy : PtxPolicy::SegmentFixupPolicyT {};
  
  
      //---------------------------------------------------------------------
      // Utilities
      //---------------------------------------------------------------------
  
      /**
       * Initialize kernel dispatch configurations with the policies corresponding to the PTX assembly we will use
       */
      template <typename KernelConfig>
      CUB_RUNTIME_FUNCTION __forceinline__
      static void InitConfigs(
          int             ptx_version,
          KernelConfig    &spmv_config,
          KernelConfig    &segment_fixup_config)
      {
      #if (CUB_PTX_ARCH > 0)
  
          // We're on the device, so initialize the kernel dispatch configurations with the current PTX policy
          spmv_config.template Init<PtxSpmvPolicyT>();
          segment_fixup_config.template Init<PtxSegmentFixupPolicy>();
  
      #else
  
          // We're on the host, so lookup and initialize the kernel dispatch configurations with the policies that match the device's PTX version
          if (ptx_version >= 600)
          {
              spmv_config.template            Init<typename Policy600::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy600::SegmentFixupPolicyT>();
          }
          else if (ptx_version >= 500)
          {
              spmv_config.template            Init<typename Policy500::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy500::SegmentFixupPolicyT>();
          }
          else if (ptx_version >= 370)
          {
              spmv_config.template            Init<typename Policy370::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy370::SegmentFixupPolicyT>();
          }
          else if (ptx_version >= 350)
          {
              spmv_config.template            Init<typename Policy350::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy350::SegmentFixupPolicyT>();
          }
          else if (ptx_version >= 300)
          {
              spmv_config.template            Init<typename Policy300::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy300::SegmentFixupPolicyT>();
  
          }
          else if (ptx_version >= 200)
          {
              spmv_config.template            Init<typename Policy200::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy200::SegmentFixupPolicyT>();
          }
          else
          {
              spmv_config.template            Init<typename Policy110::SpmvPolicyT>();
              segment_fixup_config.template   Init<typename Policy110::SegmentFixupPolicyT>();
          }
  
      #endif
      }
  
  
      /**
       * Kernel kernel dispatch configuration.
       */
      struct KernelConfig
      {
          int block_threads;
          int items_per_thread;
          int tile_items;
  
          template <typename PolicyT>
          CUB_RUNTIME_FUNCTION __forceinline__
          void Init()
          {
              block_threads       = PolicyT::BLOCK_THREADS;
              items_per_thread    = PolicyT::ITEMS_PER_THREAD;
              tile_items          = block_threads * items_per_thread;
          }
      };
  
  
      //---------------------------------------------------------------------
      // Dispatch entrypoints
      //---------------------------------------------------------------------
  
      /**
       * Internal dispatch routine for computing a device-wide reduction using the
       * specified kernel functions.
       *
       * If the input is larger than a single tile, this method uses two-passes of
       * kernel invocations.
       */
      template <
          typename                Spmv1ColKernelT,                    ///< Function type of cub::DeviceSpmv1ColKernel
          typename                SpmvSearchKernelT,                  ///< Function type of cub::AgentSpmvSearchKernel
          typename                SpmvKernelT,                        ///< Function type of cub::AgentSpmvKernel
          typename                SegmentFixupKernelT>                 ///< Function type of cub::DeviceSegmentFixupKernelT
      CUB_RUNTIME_FUNCTION __forceinline__
      static cudaError_t Dispatch(
          void*                   d_temp_storage,                     ///< [in] %Device-accessible allocation of temporary storage.  When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
          size_t&                 temp_storage_bytes,                 ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
          SpmvParamsT&            spmv_params,                        ///< SpMV input parameter bundle
          cudaStream_t            stream,                             ///< [in] CUDA stream to launch kernels within.  Default is stream<sub>0</sub>.
          bool                    debug_synchronous,                  ///< [in] Whether or not to synchronize the stream after every kernel launch to check for errors.  Also causes launch configurations to be printed to the console.  Default is \p false.
          Spmv1ColKernelT         spmv_1col_kernel,                   ///< [in] Kernel function pointer to parameterization of DeviceSpmv1ColKernel
          SpmvSearchKernelT       spmv_search_kernel,                 ///< [in] Kernel function pointer to parameterization of AgentSpmvSearchKernel
          SpmvKernelT             spmv_kernel,                        ///< [in] Kernel function pointer to parameterization of AgentSpmvKernel
          SegmentFixupKernelT     segment_fixup_kernel,               ///< [in] Kernel function pointer to parameterization of cub::DeviceSegmentFixupKernel
          KernelConfig            spmv_config,                        ///< [in] Dispatch parameters that match the policy that \p spmv_kernel was compiled for
          KernelConfig            segment_fixup_config)               ///< [in] Dispatch parameters that match the policy that \p segment_fixup_kernel was compiled for
      {
  #ifndef CUB_RUNTIME_ENABLED
  
          // Kernel launch not supported from this device
          return CubDebug(cudaErrorNotSupported );
  
  #else
          cudaError error = cudaSuccess;
          do
          {
              if (spmv_params.num_cols == 1)
              {
                  if (d_temp_storage == NULL)
                  {
                      // Return if the caller is simply requesting the size of the storage allocation
                      temp_storage_bytes = 1;
                      break;
                  }
  
                  // Get search/init grid dims
                  int degen_col_kernel_block_size     = INIT_KERNEL_THREADS;
                  int degen_col_kernel_grid_size      = (spmv_params.num_rows + degen_col_kernel_block_size - 1) / degen_col_kernel_block_size;
  
                  if (debug_synchronous) _CubLog("Invoking spmv_1col_kernel<<<%d, %d, 0, %lld>>>()
  ",
                      degen_col_kernel_grid_size, degen_col_kernel_block_size, (long long) stream);
  
                  // Invoke spmv_search_kernel
                  spmv_1col_kernel<<<degen_col_kernel_grid_size, degen_col_kernel_block_size, 0, stream>>>(
                      spmv_params);
  
                  // Check for failure to launch
                  if (CubDebug(error = cudaPeekAtLastError())) break;
  
                  // Sync the stream if specified to flush runtime errors
                  if (debug_synchronous && (CubDebug(error = SyncStream(stream)))) break;
  
                  break;
              }
  
              // Get device ordinal
              int device_ordinal;
              if (CubDebug(error = cudaGetDevice(&device_ordinal))) break;
  
              // Get SM count
              int sm_count;
              if (CubDebug(error = cudaDeviceGetAttribute (&sm_count, cudaDevAttrMultiProcessorCount, device_ordinal))) break;
  
              // Get max x-dimension of grid
              int max_dim_x;
              if (CubDebug(error = cudaDeviceGetAttribute(&max_dim_x, cudaDevAttrMaxGridDimX, device_ordinal))) break;;
  
              // Total number of spmv work items
              int num_merge_items = spmv_params.num_rows + spmv_params.num_nonzeros;
  
              // Tile sizes of kernels
              int merge_tile_size              = spmv_config.block_threads * spmv_config.items_per_thread;
              int segment_fixup_tile_size     = segment_fixup_config.block_threads * segment_fixup_config.items_per_thread;
  
              // Number of tiles for kernels
              unsigned int num_merge_tiles            = (num_merge_items + merge_tile_size - 1) / merge_tile_size;
              unsigned int num_segment_fixup_tiles    = (num_merge_tiles + segment_fixup_tile_size - 1) / segment_fixup_tile_size;
  
              // Get SM occupancy for kernels
              int spmv_sm_occupancy;
              if (CubDebug(error = MaxSmOccupancy(
                  spmv_sm_occupancy,
                  spmv_kernel,
                  spmv_config.block_threads))) break;
  
              int segment_fixup_sm_occupancy;
              if (CubDebug(error = MaxSmOccupancy(
                  segment_fixup_sm_occupancy,
                  segment_fixup_kernel,
                  segment_fixup_config.block_threads))) break;
  
              // Get grid dimensions
              dim3 spmv_grid_size(
                  CUB_MIN(num_merge_tiles, max_dim_x),
                  (num_merge_tiles + max_dim_x - 1) / max_dim_x,
                  1);
  
              dim3 segment_fixup_grid_size(
                  CUB_MIN(num_segment_fixup_tiles, max_dim_x),
                  (num_segment_fixup_tiles + max_dim_x - 1) / max_dim_x,
                  1);
  
              // Get the temporary storage allocation requirements
              size_t allocation_sizes[3];
              if (CubDebug(error = ScanTileStateT::AllocationSize(num_segment_fixup_tiles, allocation_sizes[0]))) break;    // bytes needed for reduce-by-key tile status descriptors
              allocation_sizes[1] = num_merge_tiles * sizeof(KeyValuePairT);       // bytes needed for block carry-out pairs
              allocation_sizes[2] = (num_merge_tiles + 1) * sizeof(CoordinateT);   // bytes needed for tile starting coordinates
  
              // Alias the temporary allocations from the single storage blob (or compute the necessary size of the blob)
              void* allocations[3];
              if (CubDebug(error = AliasTemporaries(d_temp_storage, temp_storage_bytes, allocations, allocation_sizes))) break;
              if (d_temp_storage == NULL)
              {
                  // Return if the caller is simply requesting the size of the storage allocation
                  break;
              }
  
              // Construct the tile status interface
              ScanTileStateT tile_state;
              if (CubDebug(error = tile_state.Init(num_segment_fixup_tiles, allocations[0], allocation_sizes[0]))) break;
  
              // Alias the other allocations
              KeyValuePairT*  d_tile_carry_pairs      = (KeyValuePairT*) allocations[1];  // Agent carry-out pairs
              CoordinateT*    d_tile_coordinates      = (CoordinateT*) allocations[2];    // Agent starting coordinates
  
              // Get search/init grid dims
              int search_block_size   = INIT_KERNEL_THREADS;
              int search_grid_size    = (num_merge_tiles + 1 + search_block_size - 1) / search_block_size;
  
  #if (CUB_PTX_ARCH == 0)
              // Init textures
              if (CubDebug(error = spmv_params.t_vector_x.BindTexture(spmv_params.d_vector_x))) break;
  #endif
  
              if (search_grid_size < sm_count)
  //            if (num_merge_tiles < spmv_sm_occupancy * sm_count)
              {
                  // Not enough spmv tiles to saturate the device: have spmv blocks search their own staring coords
                  d_tile_coordinates = NULL;
              }
              else
              {
                  // Use separate search kernel if we have enough spmv tiles to saturate the device
  
                  // Log spmv_search_kernel configuration
                  if (debug_synchronous) _CubLog("Invoking spmv_search_kernel<<<%d, %d, 0, %lld>>>()
  ",
                      search_grid_size, search_block_size, (long long) stream);
  
                  // Invoke spmv_search_kernel
                  spmv_search_kernel<<<search_grid_size, search_block_size, 0, stream>>>(
                      num_merge_tiles,
                      d_tile_coordinates,
                      spmv_params);
  
                  // Check for failure to launch
                  if (CubDebug(error = cudaPeekAtLastError())) break;
  
                  // Sync the stream if specified to flush runtime errors
                  if (debug_synchronous && (CubDebug(error = SyncStream(stream)))) break;
              }
  
              // Log spmv_kernel configuration
              if (debug_synchronous) _CubLog("Invoking spmv_kernel<<<{%d,%d,%d}, %d, 0, %lld>>>(), %d items per thread, %d SM occupancy
  ",
                  spmv_grid_size.x, spmv_grid_size.y, spmv_grid_size.z, spmv_config.block_threads, (long long) stream, spmv_config.items_per_thread, spmv_sm_occupancy);
  
              // Invoke spmv_kernel
              spmv_kernel<<<spmv_grid_size, spmv_config.block_threads, 0, stream>>>(
                  spmv_params,
                  d_tile_coordinates,
                  d_tile_carry_pairs,
                  num_merge_tiles,
                  tile_state,
                  num_segment_fixup_tiles);
  
              // Check for failure to launch
              if (CubDebug(error = cudaPeekAtLastError())) break;
  
              // Sync the stream if specified to flush runtime errors
              if (debug_synchronous && (CubDebug(error = SyncStream(stream)))) break;
  
              // Run reduce-by-key fixup if necessary
              if (num_merge_tiles > 1)
              {
                  // Log segment_fixup_kernel configuration
                  if (debug_synchronous) _CubLog("Invoking segment_fixup_kernel<<<{%d,%d,%d}, %d, 0, %lld>>>(), %d items per thread, %d SM occupancy
  ",
                      segment_fixup_grid_size.x, segment_fixup_grid_size.y, segment_fixup_grid_size.z, segment_fixup_config.block_threads, (long long) stream, segment_fixup_config.items_per_thread, segment_fixup_sm_occupancy);
  
                  // Invoke segment_fixup_kernel
                  segment_fixup_kernel<<<segment_fixup_grid_size, segment_fixup_config.block_threads, 0, stream>>>(
                      d_tile_carry_pairs,
                      spmv_params.d_vector_y,
                      num_merge_tiles,
                      num_segment_fixup_tiles,
                      tile_state);
  
                  // Check for failure to launch
                  if (CubDebug(error = cudaPeekAtLastError())) break;
  
                  // Sync the stream if specified to flush runtime errors
                  if (debug_synchronous && (CubDebug(error = SyncStream(stream)))) break;
              }
  
  #if (CUB_PTX_ARCH == 0)
              // Free textures
              if (CubDebug(error = spmv_params.t_vector_x.UnbindTexture())) break;
  #endif
          }
          while (0);
  
          return error;
  
  #endif // CUB_RUNTIME_ENABLED
      }
  
  
      /**
       * Internal dispatch routine for computing a device-wide reduction
       */
      CUB_RUNTIME_FUNCTION __forceinline__
      static cudaError_t Dispatch(
          void*                   d_temp_storage,                     ///< [in] %Device-accessible allocation of temporary storage.  When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
          size_t&                 temp_storage_bytes,                 ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
          SpmvParamsT&            spmv_params,                        ///< SpMV input parameter bundle
          cudaStream_t            stream                  = 0,        ///< [in] <b>[optional]</b> CUDA stream to launch kernels within.  Default is stream<sub>0</sub>.
          bool                    debug_synchronous       = false)    ///< [in] <b>[optional]</b> Whether or not to synchronize the stream after every kernel launch to check for errors.  May cause significant slowdown.  Default is \p false.
      {
          cudaError error = cudaSuccess;
          do
          {
              // Get PTX version
              int ptx_version;
      #if (CUB_PTX_ARCH == 0)
              if (CubDebug(error = PtxVersion(ptx_version))) break;
      #else
              ptx_version = CUB_PTX_ARCH;
      #endif
  
              // Get kernel kernel dispatch configurations
              KernelConfig spmv_config, segment_fixup_config;
              InitConfigs(ptx_version, spmv_config, segment_fixup_config);
  
              if (CubDebug(error = Dispatch(
                  d_temp_storage, temp_storage_bytes, spmv_params, stream, debug_synchronous,
                  DeviceSpmv1ColKernel<PtxSpmvPolicyT, ValueT, OffsetT>,
                  DeviceSpmvSearchKernel<PtxSpmvPolicyT, OffsetT, CoordinateT, SpmvParamsT>,
                  DeviceSpmvKernel<PtxSpmvPolicyT, ScanTileStateT, ValueT, OffsetT, CoordinateT, false, false>,
                  DeviceSegmentFixupKernel<PtxSegmentFixupPolicy, KeyValuePairT*, ValueT*, OffsetT, ScanTileStateT>,
                  spmv_config, segment_fixup_config))) break;
  
          }
          while (0);
  
          return error;
      }
  };
  
  
  }               // CUB namespace
  CUB_NS_POSTFIX  // Optional outer namespace(s)