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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 "../../config.cuh"
#include <thrust/system/cuda/detail/core/triple_chevron_launch.h>
/// 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_IS_DEVICE_CODE)
{
#if CUB_INCLUDE_DEVICE_CODE
// 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>();
#endif
}
else
{
#if CUB_INCLUDE_HOST_CODE
// 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>>>()\n",
degen_col_kernel_grid_size, degen_col_kernel_block_size, (long long) stream);
// Invoke spmv_search_kernel
thrust::cuda_cub::launcher::triple_chevron(
degen_col_kernel_grid_size, degen_col_kernel_block_size, 0,
stream
).doit(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
int num_merge_tiles = (num_merge_items + merge_tile_size - 1) / merge_tile_size;
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_INCLUDE_HOST_CODE
if (CUB_IS_HOST_CODE)
{
// 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
thrust::cuda_cub::launcher::triple_chevron(
search_grid_size, search_block_size, 0, stream
).doit(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
thrust::cuda_cub::launcher::triple_chevron(
spmv_grid_size, spmv_config.block_threads, 0, stream
).doit(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
thrust::cuda_cub::launcher::triple_chevron(
segment_fixup_grid_size, segment_fixup_config.block_threads,
0, stream
).doit(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_INCLUDE_HOST_CODE
if (CUB_IS_HOST_CODE)
{
// 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 = 0;
if (CubDebug(error = PtxVersion(ptx_version))) break;
// 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)