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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. | |
| * | |
| ******************************************************************************/ | |
| /****************************************************************************** | |
| * Evaluates different tuning configurations of DeviceReduce. | |
| * | |
| * The best way to use this program: | |
| * (1) Find the best all-around single-block tune for a given arch. | |
| * For example, 100 samples [1 ..512], 100 timing iterations per config per sample: | |
| * ./bin/tune_device_reduce_sm200_nvvm_5.0_abi_i386 --i=100 --s=100 --n=512 --single --device=0 | |
| * (2) Update the single tune in device_reduce.cuh | |
| * (3) Find the best all-around multi-block tune for a given arch. | |
| * For example, 100 samples [single-block tile-size .. 50,331,648], 100 timing iterations per config per sample: | |
| * ./bin/tune_device_reduce_sm200_nvvm_5.0_abi_i386 --i=100 --s=100 --device=0 | |
| * (4) Update the multi-block tune in device_reduce.cuh | |
| * | |
| ******************************************************************************/ | |
| // Ensure printing of CUDA runtime errors to console | |
| #define CUB_STDERR | |
| #include <vector> | |
| #include <algorithm> | |
| #include <stdio.h> | |
| #include <cub/cub.cuh> | |
| #include "../test/test_util.h" | |
| using namespace cub; | |
| using namespace std; | |
| //--------------------------------------------------------------------- | |
| // Globals, constants and typedefs | |
| //--------------------------------------------------------------------- | |
| #ifndef TUNE_ARCH | |
| #define TUNE_ARCH 100 | |
| #endif | |
| int g_max_items = 48 * 1024 * 1024; | |
| int g_samples = 100; | |
| int g_timing_iterations = 2; | |
| bool g_verbose = false; | |
| bool g_single = false; | |
| bool g_verify = true; | |
| CachingDeviceAllocator g_allocator; | |
| //--------------------------------------------------------------------- | |
| // Host utility subroutines | |
| //--------------------------------------------------------------------- | |
| /** | |
| * Initialize problem | |
| */ | |
| template <typename T> | |
| void Initialize( | |
| GenMode gen_mode, | |
| T *h_in, | |
| int num_items) | |
| { | |
| for (int i = 0; i < num_items; ++i) | |
| { | |
| InitValue(gen_mode, h_in[i], i); | |
| } | |
| } | |
| /** | |
| * Sequential reduction | |
| */ | |
| template <typename T, typename ReductionOp> | |
| T Reduce( | |
| T *h_in, | |
| ReductionOp reduction_op, | |
| int num_items) | |
| { | |
| T retval = h_in[0]; | |
| for (int i = 1; i < num_items; ++i) | |
| retval = reduction_op(retval, h_in[i]); | |
| return retval; | |
| } | |
| //--------------------------------------------------------------------- | |
| // Full tile test generation | |
| //--------------------------------------------------------------------- | |
| /** | |
| * Wrapper structure for generating and | |
| * running different tuning configurations | |
| */ | |
| template < | |
| typename T, | |
| typename OffsetT, | |
| typename ReductionOp> | |
| struct Schmoo | |
| { | |
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