{"title":"FAST: a functional algorithm simulation testbed","authors":"M. Dikaiakos, Anne Rogers, K. Steiglitz","doi":"10.1109/MASCOT.1994.284432","DOIUrl":null,"url":null,"abstract":"We extend the practical range of simulations of parallel executions by \"functional algorithm simulation,\" that is, simulation without actually performing most of the numerical computations involved. We achieve this by introducing a new approach for generating and collecting communication and computation characteristics for a class of parallel scientific algorithms. We describe FAST (Fast Algorithm Simulation Testbed), a prototype system that we developed to implement and test our approach. FAST overcomes some of the difficulties imposed by the very high complexity of interesting scientific algorithms, collects profile information representative of the algorithms rather than the underlying mapping strategies and hardware design choices, and allows a performance assessment of parallel machines with various sites and different interconnection schemes.<<ETX>>","PeriodicalId":288344,"journal":{"name":"Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.1994.284432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
We extend the practical range of simulations of parallel executions by "functional algorithm simulation," that is, simulation without actually performing most of the numerical computations involved. We achieve this by introducing a new approach for generating and collecting communication and computation characteristics for a class of parallel scientific algorithms. We describe FAST (Fast Algorithm Simulation Testbed), a prototype system that we developed to implement and test our approach. FAST overcomes some of the difficulties imposed by the very high complexity of interesting scientific algorithms, collects profile information representative of the algorithms rather than the underlying mapping strategies and hardware design choices, and allows a performance assessment of parallel machines with various sites and different interconnection schemes.<>