Publication | Closed Access
Early Experiences for Adaptation of Auto-tuning by ppOpen-AT to an Explicit Method
13
Citations
13
References
2013
Year
Unknown Venue
Artificial IntelligenceEngineeringMachine LearningModel TuningCompiler TechnologyComputer ArchitectureManagementSystems EngineeringPerformance TuningParallel ComputingCompilersParallelizing CompilerCompiler SupportPredictive AnalyticsExplicit MethodComputer EngineeringCode Optimization TechniqueComputer ScienceProgram OptimizationStatic Code GeneratorOptimizing CompilerAuto-tuningProgram AnalysisParameter TuningProcess ControlParallel ProgrammingEarly ExperiencesAt Function
We present a code optimization technique by adapting an auto-tuning (AT) function to an explicit method with the static code generator FIBER. The AT function is evaluated with current multicore processors to match situations with high-thread parallelism (HTP). The results of performance evaluations indicate that the AT function is crucial for HTP, as the speedups of the explicit method with a static code generator are as much as 7.4× compared to that of original implementations based on compiler optimization only.
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