DriverCudaBp.cpp

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/*
Copyright (C) 2024 Scott Grauer-Gray
 
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
 
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.
 
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
*/
 
#include "RunImp/RunImpMultTypesAccels.h"
#include "RunImpCUDA/RunCUDASettings.h"
#include "BpFileProcessing/BpFileHandlingConsts.h"
#include "BpRunProcessing/BpSettings.h"
#include "BpRunEvalImp/RunImpMultInputsBp.h"
#include "BpResultsEvaluation/EvaluateImpResultsBp.h"
 
int main(int argc, char** argv)
{
  //initialize run implementation settings
  run_environment::RunImpSettings run_imp_settings;
  
  //set datatype(s) to use in run processing in evaluation
  run_imp_settings.datatypes_eval_sizes =
    {run_eval::kDataTypesEvalSizes.cbegin(),
     run_eval::kDataTypesEvalSizes.cend()};
 
  //set whether or not to run and evaluate alternate optimized implementations
  //in addition to the "fastest" optimized implementation available
  run_imp_settings.run_alt_optimized_imps = run_eval::kRunAltOptimizedImps;
 
  //set setting of whether or not to use templated loop iterations in implementation
  //in evaluation runs
  run_imp_settings.templated_iters_setting =
    run_eval::kTemplatedItersEvalSettings;
  
  //enable optimization of parallel parameters with setting to use the allow different thread block dimensions
  //on kernels in same run
  //testing on has found that using different parallel parameters (corresponding to thread block dimensions)
  //in different kernels in the optimized CUDA implementation can decrease runtime
  run_imp_settings.opt_parallel_params_setting =
     run_environment::OptParallelParamsSetting::kAllowDiffKernelParallelParamsInRun;
 
  //set default parallel parameters and parallel parameters to benchmark when searching for optimal
  //parallel parameters
  run_imp_settings.p_params_default_alt_options =
    {run_cuda::kParallelParamsDefault,
     run_cuda::kParallelParameterAltOptions};
 
  //set path of baseline runtimes and baseline description
  run_imp_settings.baseline_runtimes_path_desc =
    {beliefprop::kBaselineRunDataPath,
     beliefprop::kBaselineRunDesc};
 
  //set data subsets to evaluate separate from all data
  run_imp_settings.subset_desc_input_sig = beliefprop::kEvalDataSubsets;
 
  //set run name to first argument if it exists
  //otherwise set to "CurrentRun"
  run_imp_settings.run_name = (argc > 1) ? argv[1] : "CurrentRun";
 
  //run and evaluate benchmark with multiple inputs and configurations using CUDA acceleration
  RunImpMultTypesAccels().operator()(
    {{std::make_shared<RunImpMultInputsBp>(run_environment::AccSetting::kCUDA)}},
    run_imp_settings,
    std::make_unique<EvaluateImpResultsBp>());
 
  return 0;
}