2018 · 38 citations · 12 references
ComputingComputer ScienceHigh-performance ComputingComputer ArchitectureParallel ComputingProgramming LanguagesData ParallelismKernel ProgrammingParallel ArchitecturesParallel Computer ArchitectureParallel Computing SystemsParallel Performance AnalysisOpenmpParallel Computing PerformanceParallel Performance ModelingParallel Performance OptimizationParallel ProgrammingParallel Speedup AnalysisParallelizationProgramming Frameworks
Benchmarking is a way to study the performance of new architectures and parallel programming frameworks. Well-established benchmark suites such as the NAS Parallel Benchmarks (NPB) comprise legacy codes that still lack portability to C++ language. As a consequence, a set of high-level and easy-to-use C++ parallel programming frameworks cannot be tested in NPB. Our goal is to describe a C++ porting of the NPB kernels and to analyze the performance achieved by different parallel implementations written using the Intel TBB, OpenMP and FastFlow frameworks for Multi-Cores. The experiments show an efficient code porting from Fortran to C++ and an efficient parallelization on average.
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Steven Cameron Woo, Moriyoshi Ohara, Evan Torrie et al. · 1995 · 3.6K citations · Full text
Christian Bienia, Sanjeev Kumar, Jaswinder Pal Singh et al. · 2008 · 3.4K citations
Rodinia: A benchmark suite for heterogeneous computing
Shuai Che, Michael Boyer, Jiayuan Meng et al. · 2009 · 3K citations
Steven Cameron Woo, Moriyoshi Ohara, Evan Torrie et al. · ACM SIGARCH Computer Architecture News · 1995 · 513 citations · Full text
Intel threading building blocks
PheattChuck · Journal of computing sciences in colleges · 2008 · 376 citations