Mikhail Isaev, Nic McDonald, Jeffrey S. Young, R. Vuduc
{"title":"ParaGraph: An application-simulator interface and toolkit for hardware-software co-design","authors":"Mikhail Isaev, Nic McDonald, Jeffrey S. Young, R. Vuduc","doi":"10.1145/3545008.3545069","DOIUrl":null,"url":null,"abstract":"ParaGraph is an open-source toolkit for use in co-designing hardware and software for supercomputer-scale systems. It bridges an infrastructure gap between an application target and existing high-fidelity computer-network simulators. The first component of ParaGraph is a high-level graph representation of a parallel program, which a) faithfully represents parallelism and communication, b) can be extracted automatically from a compiler, and c) is “tuned” for use with network simulators. The second is a runtime that can emulate the representation’s dynamic execution for a simulator. User-extensible mechanisms are available for modeling on-node performance and transforming high-level communication into operations that backend simulators understand. Case studies include deep learning workloads that are extracted automatically from programs written in JAX and TensorFlow and interfaced with several event-driven network simulators. These studies show how system designers can use ParaGraph to build flexible end-to-end software-hardware co-design workflows to tweak communication libraries, find future hardware bottlenecks, and validate simulations with traces.","PeriodicalId":360504,"journal":{"name":"Proceedings of the 51st International Conference on Parallel Processing","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 51st International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3545008.3545069","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
ParaGraph is an open-source toolkit for use in co-designing hardware and software for supercomputer-scale systems. It bridges an infrastructure gap between an application target and existing high-fidelity computer-network simulators. The first component of ParaGraph is a high-level graph representation of a parallel program, which a) faithfully represents parallelism and communication, b) can be extracted automatically from a compiler, and c) is “tuned” for use with network simulators. The second is a runtime that can emulate the representation’s dynamic execution for a simulator. User-extensible mechanisms are available for modeling on-node performance and transforming high-level communication into operations that backend simulators understand. Case studies include deep learning workloads that are extracted automatically from programs written in JAX and TensorFlow and interfaced with several event-driven network simulators. These studies show how system designers can use ParaGraph to build flexible end-to-end software-hardware co-design workflows to tweak communication libraries, find future hardware bottlenecks, and validate simulations with traces.