/****************************************************************************** * 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::DeviceScan provides device-wide, parallel operations for computing a prefix scan across a sequence of data items residing within device-accessible memory. */ #pragma once #include #include #include "../../agent/agent_scan.cuh" #include "../../thread/thread_operators.cuh" #include "../../grid/grid_queue.cuh" #include "../../util_arch.cuh" #include "../../util_debug.cuh" #include "../../util_device.cuh" #include "../../util_namespace.cuh" /// Optional outer namespace(s) CUB_NS_PREFIX /// CUB namespace namespace cub { /****************************************************************************** * Kernel entry points *****************************************************************************/ /** * Initialization kernel for tile status initialization (multi-block) */ template < typename ScanTileStateT> ///< Tile status interface type __global__ void DeviceScanInitKernel( ScanTileStateT tile_state, ///< [in] Tile status interface int num_tiles) ///< [in] Number of tiles { // Initialize tile status tile_state.InitializeStatus(num_tiles); } /** * Initialization kernel for tile status initialization (multi-block) */ template < typename ScanTileStateT, ///< Tile status interface type typename NumSelectedIteratorT> ///< Output iterator type for recording the number of items selected __global__ void DeviceCompactInitKernel( ScanTileStateT tile_state, ///< [in] Tile status interface int num_tiles, ///< [in] Number of tiles NumSelectedIteratorT d_num_selected_out) ///< [out] Pointer to the total number of items selected (i.e., length of \p d_selected_out) { // Initialize tile status tile_state.InitializeStatus(num_tiles); // Initialize d_num_selected_out if ((blockIdx.x == 0) && (threadIdx.x == 0)) *d_num_selected_out = 0; } /** * Scan kernel entry point (multi-block) */ template < typename ScanPolicyT, ///< Parameterized ScanPolicyT tuning policy type typename InputIteratorT, ///< Random-access input iterator type for reading scan inputs \iterator typename OutputIteratorT, ///< Random-access output iterator type for writing scan outputs \iterator typename ScanTileStateT, ///< Tile status interface type typename ScanOpT, ///< Binary scan functor type having member T operator()(const T &a, const T &b) typename InitValueT, ///< Initial value to seed the exclusive scan (cub::NullType for inclusive scans) typename OffsetT> ///< Signed integer type for global offsets __launch_bounds__ (int(ScanPolicyT::BLOCK_THREADS)) __global__ void DeviceScanKernel( InputIteratorT d_in, ///< Input data OutputIteratorT d_out, ///< Output data ScanTileStateT tile_state, ///< Tile status interface int start_tile, ///< The starting tile for the current grid ScanOpT scan_op, ///< Binary scan functor InitValueT init_value, ///< Initial value to seed the exclusive scan OffsetT num_items) ///< Total number of scan items for the entire problem { // Thread block type for scanning input tiles typedef AgentScan< ScanPolicyT, InputIteratorT, OutputIteratorT, ScanOpT, InitValueT, OffsetT> AgentScanT; // Shared memory for AgentScan __shared__ typename AgentScanT::TempStorage temp_storage; // Process tiles AgentScanT(temp_storage, d_in, d_out, scan_op, init_value).ConsumeRange( num_items, tile_state, start_tile); } /****************************************************************************** * Dispatch ******************************************************************************/ /** * Utility class for dispatching the appropriately-tuned kernels for DeviceScan */ template < typename InputIteratorT, ///< Random-access input iterator type for reading scan inputs \iterator typename OutputIteratorT, ///< Random-access output iterator type for writing scan outputs \iterator typename ScanOpT, ///< Binary scan functor type having member T operator()(const T &a, const T &b) typename InitValueT, ///< The init_value element type for ScanOpT (cub::NullType for inclusive scans) typename OffsetT> ///< Signed integer type for global offsets struct DispatchScan { //--------------------------------------------------------------------- // Constants and Types //--------------------------------------------------------------------- enum { INIT_KERNEL_THREADS = 128 }; // The output value type typedef typename If<(Equals::value_type, void>::VALUE), // OutputT = (if output iterator's value type is void) ? typename std::iterator_traits::value_type, // ... then the input iterator's value type, typename std::iterator_traits::value_type>::Type OutputT; // ... else the output iterator's value type // Tile status descriptor interface type typedef ScanTileState ScanTileStateT; //--------------------------------------------------------------------- // Tuning policies //--------------------------------------------------------------------- /// SM600 struct Policy600 { typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(128, 15, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_TRANSPOSE, LOAD_DEFAULT, BLOCK_STORE_TRANSPOSE, BLOCK_SCAN_WARP_SCANS> ScanPolicyT; }; /// SM520 struct Policy520 { // Titan X: 32.47B items/s @ 48M 32-bit T typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(128, 12, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_DIRECT, LOAD_LDG, BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_WARP_SCANS> ScanPolicyT; }; /// SM35 struct Policy350 { // GTX Titan: 29.5B items/s (232.4 GB/s) @ 48M 32-bit T typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(128, 12, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_DIRECT, LOAD_LDG, BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED, BLOCK_SCAN_RAKING> ScanPolicyT; }; /// SM30 struct Policy300 { typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(256, 9, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_WARP_SCANS> ScanPolicyT; }; /// SM20 struct Policy200 { // GTX 580: 20.3B items/s (162.3 GB/s) @ 48M 32-bit T typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(128, 12, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_WARP_SCANS> ScanPolicyT; }; /// SM13 struct Policy130 { typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(96, 21, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_RAKING_MEMOIZE> ScanPolicyT; }; /// SM10 struct Policy100 { typedef AgentScanPolicy< CUB_SCALED_GRANULARITIES(64, 9, OutputT), ///< Threads per block, items per thread BLOCK_LOAD_WARP_TRANSPOSE, LOAD_DEFAULT, BLOCK_STORE_WARP_TRANSPOSE, BLOCK_SCAN_WARP_SCANS> ScanPolicyT; }; //--------------------------------------------------------------------- // Tuning policies of current PTX compiler pass //--------------------------------------------------------------------- #if (CUB_PTX_ARCH >= 600) typedef Policy600 PtxPolicy; #elif (CUB_PTX_ARCH >= 520) typedef Policy520 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; #elif (CUB_PTX_ARCH >= 130) typedef Policy130 PtxPolicy; #else typedef Policy100 PtxPolicy; #endif // "Opaque" policies (whose parameterizations aren't reflected in the type signature) struct PtxAgentScanPolicy : PtxPolicy::ScanPolicyT {}; //--------------------------------------------------------------------- // 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 &scan_kernel_config) { #if (CUB_PTX_ARCH > 0) (void)ptx_version; // We're on the device, so initialize the kernel dispatch configurations with the current PTX policy scan_kernel_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) { scan_kernel_config.template Init(); } else if (ptx_version >= 520) { scan_kernel_config.template Init(); } else if (ptx_version >= 350) { scan_kernel_config.template Init(); } else if (ptx_version >= 300) { scan_kernel_config.template Init(); } else if (ptx_version >= 200) { scan_kernel_config.template Init(); } else if (ptx_version >= 130) { scan_kernel_config.template Init(); } else { scan_kernel_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 prefix scan using the * specified kernel functions. */ template < typename ScanInitKernelPtrT, ///< Function type of cub::DeviceScanInitKernel typename ScanSweepKernelPtrT> ///< Function type of cub::DeviceScanKernelPtrT 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 InputIteratorT d_in, ///< [in] Pointer to the input sequence of data items OutputIteratorT d_out, ///< [out] Pointer to the output sequence of data items ScanOpT scan_op, ///< [in] Binary scan functor InitValueT init_value, ///< [in] Initial value to seed the exclusive scan OffsetT num_items, ///< [in] Total number of input items (i.e., the length of \p d_in) 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. int /*ptx_version*/, ///< [in] PTX version of dispatch kernels ScanInitKernelPtrT init_kernel, ///< [in] Kernel function pointer to parameterization of cub::DeviceScanInitKernel ScanSweepKernelPtrT scan_kernel, ///< [in] Kernel function pointer to parameterization of cub::DeviceScanKernel KernelConfig scan_kernel_config) ///< [in] Dispatch parameters that match the policy that \p scan_kernel was compiled for { #ifndef CUB_RUNTIME_ENABLED (void)d_temp_storage; (void)temp_storage_bytes; (void)d_in; (void)d_out; (void)scan_op; (void)init_value; (void)num_items; (void)stream; (void)debug_synchronous; (void)init_kernel; (void)scan_kernel; (void)scan_kernel_config; // Kernel launch not supported from this device return CubDebug(cudaErrorNotSupported); #else cudaError error = cudaSuccess; do { // 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; // Number of input tiles int tile_size = scan_kernel_config.block_threads * scan_kernel_config.items_per_thread; int num_tiles = (num_items + tile_size - 1) / tile_size; // Specify temporary storage allocation requirements size_t allocation_sizes[1]; if (CubDebug(error = ScanTileStateT::AllocationSize(num_tiles, allocation_sizes[0]))) break; // bytes needed for tile status descriptors // Compute allocation pointers into the single storage blob (or compute the necessary size of the blob) void* allocations[1]; 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; } // Return if empty problem if (num_items == 0) break; // Construct the tile status interface ScanTileStateT tile_state; if (CubDebug(error = tile_state.Init(num_tiles, allocations[0], allocation_sizes[0]))) break; // Log init_kernel configuration int init_grid_size = (num_tiles + INIT_KERNEL_THREADS - 1) / INIT_KERNEL_THREADS; if (debug_synchronous) _CubLog("Invoking init_kernel<<<%d, %d, 0, %lld>>>()\n", init_grid_size, INIT_KERNEL_THREADS, (long long) stream); // Invoke init_kernel to initialize tile descriptors init_kernel<<>>( tile_state, num_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; // Get SM occupancy for scan_kernel int scan_sm_occupancy; if (CubDebug(error = MaxSmOccupancy( scan_sm_occupancy, // out scan_kernel, scan_kernel_config.block_threads))) break; // Get max x-dimension of grid int max_dim_x; if (CubDebug(error = cudaDeviceGetAttribute(&max_dim_x, cudaDevAttrMaxGridDimX, device_ordinal))) break;; // Run grids in epochs (in case number of tiles exceeds max x-dimension int scan_grid_size = CUB_MIN(num_tiles, max_dim_x); for (int start_tile = 0; start_tile < num_tiles; start_tile += scan_grid_size) { // Log scan_kernel configuration if (debug_synchronous) _CubLog("Invoking %d scan_kernel<<<%d, %d, 0, %lld>>>(), %d items per thread, %d SM occupancy\n", start_tile, scan_grid_size, scan_kernel_config.block_threads, (long long) stream, scan_kernel_config.items_per_thread, scan_sm_occupancy); // Invoke scan_kernel scan_kernel<<>>( d_in, d_out, tile_state, start_tile, scan_op, init_value, num_items); // 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; } } while (0); return error; #endif // CUB_RUNTIME_ENABLED } /** * Internal dispatch routine */ 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 InputIteratorT d_in, ///< [in] Pointer to the input sequence of data items OutputIteratorT d_out, ///< [out] Pointer to the output sequence of data items ScanOpT scan_op, ///< [in] Binary scan functor InitValueT init_value, ///< [in] Initial value to seed the exclusive scan OffsetT num_items, ///< [in] Total number of input items (i.e., the length of \p d_in) cudaStream_t stream, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous) ///< [in] [optional] 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. { cudaError error = cudaSuccess; do { // Get PTX version int ptx_version; if (CubDebug(error = PtxVersion(ptx_version))) break; // Get kernel kernel dispatch configurations KernelConfig scan_kernel_config; InitConfigs(ptx_version, scan_kernel_config); // Dispatch if (CubDebug(error = Dispatch( d_temp_storage, temp_storage_bytes, d_in, d_out, scan_op, init_value, num_items, stream, debug_synchronous, ptx_version, DeviceScanInitKernel, DeviceScanKernel, scan_kernel_config))) break; } while (0); return error; } }; } // CUB namespace CUB_NS_POSTFIX // Optional outer namespace(s)