/****************************************************************************** * 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 #include #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 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 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 spmv_params, ///< [in] SpMV input parameter bundle CoordinateT* d_tile_coordinates, ///< [in] Pointer to the temporary array of tile starting coordinates KeyValuePair* 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 SpmvParamsT; // 2D merge path coordinate type typedef typename CubVector::Type CoordinateT; // Tile status descriptor interface type typedef ReduceByKeyScanTileState ScanTileStateT; // Tuple type for scanning (pairs accumulated segment-value with segment-index) typedef KeyValuePair 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 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(); segment_fixup_config.template Init(); #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(); segment_fixup_config.template Init(); } else if (ptx_version >= 500) { spmv_config.template Init(); segment_fixup_config.template Init(); } else if (ptx_version >= 370) { spmv_config.template Init(); segment_fixup_config.template Init(); } else if (ptx_version >= 350) { spmv_config.template Init(); segment_fixup_config.template Init(); } else if (ptx_version >= 300) { spmv_config.template Init(); segment_fixup_config.template Init(); } else if (ptx_version >= 200) { spmv_config.template Init(); segment_fixup_config.template Init(); } else { spmv_config.template Init(); segment_fixup_config.template Init(); } #endif } /** * Kernel kernel dispatch configuration. */ struct KernelConfig { int block_threads; int items_per_thread; int tile_items; template 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 stream0. 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>>>()\n", degen_col_kernel_grid_size, degen_col_kernel_block_size, (long long) stream); // Invoke spmv_search_kernel spmv_1col_kernel<<>>( 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>>>()\n", search_grid_size, search_block_size, (long long) stream); // Invoke spmv_search_kernel spmv_search_kernel<<>>( 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\n", 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_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\n", 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<<>>( 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] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] 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, DeviceSpmvSearchKernel, DeviceSpmvKernel, DeviceSegmentFixupKernel, spmv_config, segment_fixup_config))) break; } while (0); return error; } }; } // CUB namespace CUB_NS_POSTFIX // Optional outer namespace(s)