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authorMiles Macklin <[email protected]>2017-03-10 14:51:31 +1300
committerMiles Macklin <[email protected]>2017-03-10 14:51:31 +1300
commitad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f (patch)
tree4cc6f3288363889d7342f7f8407c0251e6904819 /external/cub-1.3.2/cub/device/dispatch/device_select_dispatch.cuh
downloadflex-ad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f.tar.xz
flex-ad3d90fafe5ee79964bdfe1f1e0704c3ffcdfd5f.zip
Initial 1.1.0 binary release
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+
+/******************************************************************************
+ * Copyright (c) 2011, Duane Merrill. All rights reserved.
+ * Copyright (c) 2011-2014, 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::DeviceSelect provides device-wide, parallel operations for selecting items from sequences of data items residing within global memory.
+ */
+
+#pragma once
+
+#include <stdio.h>
+#include <iterator>
+
+#include "device_scan_dispatch.cuh"
+#include "../../block_range/block_range_select.cuh"
+#include "../../thread/thread_operators.cuh"
+#include "../../grid/grid_queue.cuh"
+#include "../../util_device.cuh"
+#include "../../util_namespace.cuh"
+
+/// Optional outer namespace(s)
+CUB_NS_PREFIX
+
+/// CUB namespace
+namespace cub {
+
+/******************************************************************************
+ * Kernel entry points
+ *****************************************************************************/
+
+/**
+ * Select kernel entry point (multi-block)
+ *
+ * Performs functor-based selection if SelectOp functor type != NullType
+ * Otherwise performs flag-based selection if FlagIterator's value type != NullType
+ * Otherwise performs discontinuity selection (keep unique)
+ */
+template <
+ typename BlockRangeSelectPolicy, ///< Parameterized BlockRangeSelectPolicy tuning policy type
+ typename InputIterator, ///< Random-access input iterator type for reading input items
+ typename FlagIterator, ///< Random-access input iterator type for reading selection flags (NullType* if a selection functor or discontinuity flagging is to be used for selection)
+ typename OutputIterator, ///< Random-access output iterator type for writing selected items
+ typename NumSelectedIterator, ///< Output iterator type for recording the number of items selected
+ typename ScanTileState, ///< Tile status interface type
+ typename SelectOp, ///< Selection operator type (NullType if selection flags or discontinuity flagging is to be used for selection)
+ typename EqualityOp, ///< Equality operator type (NullType if selection functor or selection flags is to be used for selection)
+ typename Offset, ///< Signed integer type for global offsets
+ bool KEEP_REJECTS> ///< Whether or not we push rejected items to the back of the output
+__launch_bounds__ (int(BlockRangeSelectPolicy::BLOCK_THREADS))
+__global__ void SelectRegionKernel(
+ InputIterator d_in, ///< [in] Pointer to input sequence of data items
+ FlagIterator d_flags, ///< [in] Pointer to the input sequence of selection flags
+ OutputIterator d_out, ///< [in] Pointer to output sequence of selected data items
+ NumSelectedIterator d_num_selected, ///< [in] Pointer to total number of items selected (i.e., length of \p d_out)
+ ScanTileState tile_status, ///< [in] Tile status interface
+ SelectOp select_op, ///< [in] Selection operator
+ EqualityOp equality_op, ///< [in] Equality operator
+ Offset num_items, ///< [in] Total number of input items (i.e., length of \p d_in)
+ int num_tiles, ///< [in] Total number of tiles for the entire problem
+ GridQueue<int> queue) ///< [in] Drain queue descriptor for dynamically mapping tile data onto thread blocks
+{
+ // Thread block type for selecting data from input tiles
+ typedef BlockRangeSelect<
+ BlockRangeSelectPolicy,
+ InputIterator,
+ FlagIterator,
+ OutputIterator,
+ SelectOp,
+ EqualityOp,
+ Offset,
+ KEEP_REJECTS> BlockRangeSelectT;
+
+ // Shared memory for BlockRangeSelect
+ __shared__ typename BlockRangeSelectT::TempStorage temp_storage;
+
+ // Process tiles
+ BlockRangeSelectT(temp_storage, d_in, d_flags, d_out, select_op, equality_op, num_items).ConsumeRange(
+ num_tiles,
+ queue,
+ tile_status,
+ d_num_selected);
+}
+
+
+
+
+/******************************************************************************
+ * Dispatch
+ ******************************************************************************/
+
+/**
+ * Utility class for dispatching the appropriately-tuned kernels for DeviceSelect
+ */
+template <
+ typename InputIterator, ///< Random-access input iterator type for reading input items
+ typename FlagIterator, ///< Random-access input iterator type for reading selection flags (NullType* if a selection functor or discontinuity flagging is to be used for selection)
+ typename OutputIterator, ///< Random-access output iterator type for writing selected items
+ typename NumSelectedIterator, ///< Output iterator type for recording the number of items selected
+ typename SelectOp, ///< Selection operator type (NullType if selection flags or discontinuity flagging is to be used for selection)
+ typename EqualityOp, ///< Equality operator type (NullType if selection functor or selection flags is to be used for selection)
+ typename Offset, ///< Signed integer type for global offsets
+ bool KEEP_REJECTS> ///< Whether or not we push rejected items to the back of the output
+struct DeviceSelectDispatch
+{
+ /******************************************************************************
+ * Types and constants
+ ******************************************************************************/
+
+ // Data type of input iterator
+ typedef typename std::iterator_traits<InputIterator>::value_type T;
+
+ // Data type of flag iterator
+ typedef typename std::iterator_traits<FlagIterator>::value_type Flag;
+
+ enum
+ {
+ INIT_KERNEL_THREADS = 128,
+ };
+
+ // Tile status descriptor interface type
+ typedef ScanTileState<Offset> ScanTileState;
+
+
+ /******************************************************************************
+ * Tuning policies
+ ******************************************************************************/
+
+ /// SM35
+ struct Policy350
+ {
+ enum {
+ NOMINAL_4B_ITEMS_PER_THREAD = 11,
+ ITEMS_PER_THREAD = CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD, CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(T)))),
+ };
+
+ typedef BlockRangeSelectPolicy<
+ 128,
+ ITEMS_PER_THREAD,
+ BLOCK_LOAD_DIRECT,
+ LOAD_LDG,
+ true,
+ BLOCK_SCAN_WARP_SCANS>
+ SelectRegionPolicy;
+ };
+
+ /// SM30
+ struct Policy300
+ {
+ enum {
+ NOMINAL_4B_ITEMS_PER_THREAD = 5,
+ ITEMS_PER_THREAD = CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD, CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(T)))),
+ };
+
+ typedef BlockRangeSelectPolicy<
+ 256,
+ ITEMS_PER_THREAD,
+ BLOCK_LOAD_WARP_TRANSPOSE,
+ LOAD_DEFAULT,
+ true,
+ BLOCK_SCAN_RAKING_MEMOIZE>
+ SelectRegionPolicy;
+ };
+
+ /// SM20
+ struct Policy200
+ {
+ enum {
+ NOMINAL_4B_ITEMS_PER_THREAD = (KEEP_REJECTS) ? 7 : 17,
+ ITEMS_PER_THREAD = CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD, CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(T)))),
+ };
+
+ typedef BlockRangeSelectPolicy<
+ 128,
+ ITEMS_PER_THREAD,
+ BLOCK_LOAD_WARP_TRANSPOSE,
+ LOAD_DEFAULT,
+ true,
+ BLOCK_SCAN_WARP_SCANS>
+ SelectRegionPolicy;
+ };
+
+ /// SM13
+ struct Policy130
+ {
+ enum {
+ NOMINAL_4B_ITEMS_PER_THREAD = 9,
+ ITEMS_PER_THREAD = CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD, CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(T)))),
+ };
+
+ typedef BlockRangeSelectPolicy<
+ 64,
+ ITEMS_PER_THREAD,
+ BLOCK_LOAD_WARP_TRANSPOSE,
+ LOAD_DEFAULT,
+ true,
+ BLOCK_SCAN_RAKING_MEMOIZE>
+ SelectRegionPolicy;
+ };
+
+ /// SM10
+ struct Policy100
+ {
+ enum {
+ NOMINAL_4B_ITEMS_PER_THREAD = 9,
+ ITEMS_PER_THREAD = CUB_MIN(NOMINAL_4B_ITEMS_PER_THREAD, CUB_MAX(1, (NOMINAL_4B_ITEMS_PER_THREAD * 4 / sizeof(T)))),
+ };
+
+ typedef BlockRangeSelectPolicy<
+ 256,
+ ITEMS_PER_THREAD,
+ BLOCK_LOAD_WARP_TRANSPOSE,
+ LOAD_DEFAULT,
+ true,
+ BLOCK_SCAN_RAKING_MEMOIZE>
+ SelectRegionPolicy;
+ };
+
+
+ /******************************************************************************
+ * Tuning policies of current PTX compiler pass
+ ******************************************************************************/
+
+#if (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 PtxSelectRegionPolicy : PtxPolicy::SelectRegionPolicy {};
+
+
+ /******************************************************************************
+ * 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 &select_range_config)
+ {
+ #if (CUB_PTX_ARCH > 0)
+
+ // We're on the device, so initialize the kernel dispatch configurations with the current PTX policy
+ select_range_config.template Init<PtxSelectRegionPolicy>();
+
+ #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 >= 350)
+ {
+ select_range_config.template Init<typename Policy350::SelectRegionPolicy>();
+ }
+ else if (ptx_version >= 300)
+ {
+ select_range_config.template Init<typename Policy300::SelectRegionPolicy>();
+ }
+ else if (ptx_version >= 200)
+ {
+ select_range_config.template Init<typename Policy200::SelectRegionPolicy>();
+ }
+ else if (ptx_version >= 130)
+ {
+ select_range_config.template Init<typename Policy130::SelectRegionPolicy>();
+ }
+ else
+ {
+ select_range_config.template Init<typename Policy100::SelectRegionPolicy>();
+ }
+
+ #endif
+ }
+
+
+ /**
+ * Kernel kernel dispatch configuration. Mirrors the constants within BlockRangeSelectPolicy.
+ */
+ struct KernelConfig
+ {
+ int block_threads;
+ int items_per_thread;
+ BlockLoadAlgorithm load_policy;
+ bool two_phase_scatter;
+ BlockScanAlgorithm scan_algorithm;
+
+ template <typename BlockRangeSelectPolicy>
+ CUB_RUNTIME_FUNCTION __forceinline__
+ void Init()
+ {
+ block_threads = BlockRangeSelectPolicy::BLOCK_THREADS;
+ items_per_thread = BlockRangeSelectPolicy::ITEMS_PER_THREAD;
+ load_policy = BlockRangeSelectPolicy::LOAD_ALGORITHM;
+ two_phase_scatter = BlockRangeSelectPolicy::TWO_PHASE_SCATTER;
+ scan_algorithm = BlockRangeSelectPolicy::SCAN_ALGORITHM;
+ }
+
+ CUB_RUNTIME_FUNCTION __forceinline__
+ void Print()
+ {
+ printf("%d, %d, %d, %d, %d",
+ block_threads,
+ items_per_thread,
+ load_policy,
+ two_phase_scatter,
+ scan_algorithm);
+ }
+ };
+
+
+ /******************************************************************************
+ * Dispatch entrypoints
+ ******************************************************************************/
+
+ /**
+ * Internal dispatch routine for computing a device-wide prefix scan using the
+ * specified kernel functions.
+ */
+ template <
+ typename ScanInitKernelPtr, ///< Function type of cub::ScanInitKernel
+ typename SelectRegionKernelPtr> ///< Function type of cub::SelectRegionKernelPtr
+ CUB_RUNTIME_FUNCTION __forceinline__
+ static cudaError_t Dispatch(
+ void *d_temp_storage, ///< [in] %Device 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
+ InputIterator d_in, ///< [in] Pointer to input sequence of data items
+ FlagIterator d_flags, ///< [in] Pointer to the input sequence of selection flags
+ OutputIterator d_out, ///< [in] Pointer to output sequence of selected data items
+ NumSelectedIterator d_num_selected, ///< [in] Pointer to total number of items selected (i.e., length of \p d_out)
+ SelectOp select_op, ///< [in] Selection operator
+ EqualityOp equality_op, ///< [in] Equality operator
+ Offset num_items, ///< [in] Total number of input items (i.e., length of \p d_in)
+ 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.
+ int ptx_version, ///< [in] PTX version of dispatch kernels
+ ScanInitKernelPtr init_kernel, ///< [in] Kernel function pointer to parameterization of cub::ScanInitKernel
+ SelectRegionKernelPtr select_range_kernel, ///< [in] Kernel function pointer to parameterization of cub::SelectRegionKernel
+ KernelConfig select_range_config) ///< [in] Dispatch parameters that match the policy that \p select_range_kernel was compiled for
+ {
+
+#ifndef CUB_RUNTIME_ENABLED
+
+ // 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 device SM version
+ int sm_version;
+ if (CubDebug(error = SmVersion(sm_version, 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 = select_range_config.block_threads * select_range_config.items_per_thread;
+ int num_tiles = (num_items + tile_size - 1) / tile_size;
+
+ // Specify temporary storage allocation requirements
+ size_t allocation_sizes[2];
+ if (CubDebug(error = ScanTileState::AllocationSize(num_tiles, allocation_sizes[0]))) break; // bytes needed for tile status descriptors
+ allocation_sizes[1] = GridQueue<int>::AllocationSize(); // bytes needed for grid queue descriptor
+
+ // Compute allocation pointers into the single storage blob (or set the necessary size of the blob)
+ void* allocations[2];
+ 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
+ return cudaSuccess;
+ }
+
+ // Construct the tile status interface
+ ScanTileState tile_status;
+ if (CubDebug(error = tile_status.Init(num_tiles, allocations[0], allocation_sizes[0]))) break;
+
+ // Construct the grid queue descriptor
+ GridQueue<int> queue(allocations[1]);
+
+ // 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 and queue descriptors
+ init_kernel<<<init_grid_size, INIT_KERNEL_THREADS, 0, stream>>>(
+ queue,
+ tile_status,
+ 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 select_range_kernel
+ int select_range_sm_occupancy;
+ if (CubDebug(error = MaxSmOccupancy(
+ select_range_sm_occupancy, // out
+ sm_version,
+ select_range_kernel,
+ select_range_config.block_threads))) break;
+
+ // Get grid size for scanning tiles
+ dim3 select_grid_size;
+ if (ptx_version <= 130)
+ {
+ // Blocks are launched in order, so just assign one block per tile
+ int max_dim_x = 32 * 1024;
+ select_grid_size.z = 1;
+ select_grid_size.y = (num_tiles + max_dim_x - 1) / max_dim_x;
+ select_grid_size.x = CUB_MIN(num_tiles, max_dim_x);
+ }
+ else
+ {
+ // Blocks may not be launched in order, so use atomics
+ int select_range_occupancy = select_range_sm_occupancy * sm_count; // Whole-device occupancy for select_range_kernel
+ select_grid_size.z = 1;
+ select_grid_size.y = 1;
+ select_grid_size.x = (num_tiles < select_range_occupancy) ?
+ num_tiles : // Not enough to fill the device with threadblocks
+ select_range_occupancy; // Fill the device with threadblocks
+ }
+
+ // Log select_range_kernel configuration
+ if (debug_synchronous) CubLog("Invoking select_range_kernel<<<{%d,%d,%d}, %d, 0, %lld>>>(), %d items per thread, %d SM occupancy\n",
+ select_grid_size.x, select_grid_size.y, select_grid_size.z, select_range_config.block_threads, (long long) stream, select_range_config.items_per_thread, select_range_sm_occupancy);
+
+ // Invoke select_range_kernel
+ select_range_kernel<<<select_grid_size, select_range_config.block_threads, 0, stream>>>(
+ d_in,
+ d_flags,
+ d_out,
+ d_num_selected,
+ tile_status,
+ select_op,
+ equality_op,
+ num_items,
+ num_tiles,
+ queue);
+
+ // 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 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
+ InputIterator d_in, ///< [in] Pointer to input sequence of data items
+ FlagIterator d_flags, ///< [in] Pointer to the input sequence of selection flags
+ OutputIterator d_out, ///< [in] Pointer to output sequence of selected data items
+ NumSelectedIterator d_num_selected, ///< [in] Pointer to total number of items selected (i.e., length of \p d_out)
+ SelectOp select_op, ///< [in] Selection operator
+ EqualityOp equality_op, ///< [in] Equality operator
+ Offset num_items, ///< [in] Total number of input items (i.e., length of \p d_in)
+ cudaStream_t stream, ///< [in] <b>[optional]</b> CUDA stream to launch kernels within. Default is stream<sub>0</sub>.
+ bool debug_synchronous) ///< [in] <b>[optional]</b> 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 (CUB_PTX_ARCH == 0)
+ if (CubDebug(error = PtxVersion(ptx_version))) break;
+ #else
+ ptx_version = CUB_PTX_ARCH;
+ #endif
+
+ // Get kernel kernel dispatch configurations
+ KernelConfig select_range_config;
+ InitConfigs(ptx_version, select_range_config);
+
+ // Dispatch
+ if (CubDebug(error = Dispatch(
+ d_temp_storage,
+ temp_storage_bytes,
+ d_in,
+ d_flags,
+ d_out,
+ d_num_selected,
+ select_op,
+ equality_op,
+ num_items,
+ stream,
+ debug_synchronous,
+ ptx_version,
+ ScanInitKernel<Offset, ScanTileState>,
+ SelectRegionKernel<PtxSelectRegionPolicy, InputIterator, FlagIterator, OutputIterator, NumSelectedIterator, ScanTileState, SelectOp, EqualityOp, Offset, KEEP_REJECTS>,
+ select_range_config))) break;
+ }
+ while (0);
+
+ return error;
+ }
+};
+
+
+} // CUB namespace
+CUB_NS_POSTFIX // Optional outer namespace(s)
+
+