{"title":"DPF: a data parallel Fortran benchmark suite","authors":"Yu Hu, L. Johnsson, D. Kehagias, Nadia Shalaby","doi":"10.1109/IPPS.1997.580896","DOIUrl":null,"url":null,"abstract":"We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes for evaluating data parallel compilers appropriate for any target parallel architecture, with shared or distributed memory. The codes are provided in basic, optimized and several library versions. The functionality of the benchmarks cover collective communication functions, scientific software library functions, and application kernels that reflect the computational structure and communication patterns in fluid dynamic simulations, fundamental physics and molecular studies in chemistry or biology. The DPF benchmark suite assumes the language model of High Performance Fortran, and provides performance evaluation metrics of busy and elapsed times and FLOP rates, FLOP count, memory usage, communication patterns, focal memory access, and arithmetic efficiency as well as operation and communication counts per iteration. An instance of the benchmark suite was fully implemented in CM-Fortran and tested on the CM-5.","PeriodicalId":145892,"journal":{"name":"Proceedings 11th International Parallel Processing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1997.580896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes for evaluating data parallel compilers appropriate for any target parallel architecture, with shared or distributed memory. The codes are provided in basic, optimized and several library versions. The functionality of the benchmarks cover collective communication functions, scientific software library functions, and application kernels that reflect the computational structure and communication patterns in fluid dynamic simulations, fundamental physics and molecular studies in chemistry or biology. The DPF benchmark suite assumes the language model of High Performance Fortran, and provides performance evaluation metrics of busy and elapsed times and FLOP rates, FLOP count, memory usage, communication patterns, focal memory access, and arithmetic efficiency as well as operation and communication counts per iteration. An instance of the benchmark suite was fully implemented in CM-Fortran and tested on the CM-5.