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tools/cub-1.8.0/cub/device/dispatch/dispatch_scan.cuh
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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::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 <stdio.h>
#include <iterator>
#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 <tt>T operator()(const T &a, const T &b)</tt>
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 <tt>T operator()(const T &a, const T &b)</tt>
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<typename std::iterator_traits<OutputIteratorT>::value_type, void>::VALUE), // OutputT = (if output iterator's value type is void) ?
typename std::iterator_traits<InputIteratorT>::value_type, // ... then the input iterator's value type,
typename std::iterator_traits<OutputIteratorT>::value_type>::Type OutputT; // ... else the output iterator's value type
// Tile status descriptor interface type
typedef ScanTileState<OutputT> 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 <typename KernelConfig>
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<PtxAgentScanPolicy>();
#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<typename Policy600::ScanPolicyT>();
}
else if (ptx_version >= 520)
{
scan_kernel_config.template Init<typename Policy520::ScanPolicyT>();
}
else if (ptx_version >= 350)
{
scan_kernel_config.template Init<typename Policy350::ScanPolicyT>();
}
else if (ptx_version >= 300)
{
scan_kernel_config.template Init<typename Policy300::ScanPolicyT>();
}
else if (ptx_version >= 200)
{
scan_kernel_config.template Init<typename Policy200::ScanPolicyT>();
}
else if (ptx_version >= 130)
{
scan_kernel_config.template Init<typename Policy130::ScanPolicyT>();
}
else
{
scan_kernel_config.template Init<typename Policy100::ScanPolicyT>();
}
#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 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 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
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>>>()
", init_grid_size, INIT_KERNEL_THREADS, (long long) stream);
// Invoke init_kernel to initialize tile descriptors
init_kernel<<<init_grid_size, INIT_KERNEL_THREADS, 0, stream>>>(
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
",
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<<<scan_grid_size, scan_kernel_config.block_threads, 0, stream>>>(
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] <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 (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<ScanTileStateT>,
DeviceScanKernel<PtxAgentScanPolicy, InputIteratorT, OutputIteratorT, ScanTileStateT, ScanOpT, InitValueT, OffsetT>,
scan_kernel_config))) break;
}
while (0);
return error;
}
};
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)
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