{"title":"ASCI applications","authors":"Charles McMillan","doi":"10.1109/HPDC.1997.626687","DOIUrl":null,"url":null,"abstract":"In discussions of ASCI, the high-profile procurements of large computers frequently figure prominently. However, from the outset of the ASCI program, applications have been recognized as the driver. These applications feature complex, multi-physics simulations of natural phenomena that generate massive data sets as output. As we have moved from computing systems dominated by parallel vector processing to massively parallel processing we have designed new applications from the ground up to take advantage of the new capabilities. Early payoffs from this effort include running problems that are one to two orders of magnitude larger than any we have been able to run in the past. With these larger problems, we are begining the computational exploration of domains in physics, chemistry and engineering that were previously closed. As we write these codes, issues associated with languages, debuggers and visualization tools have quickly risen to the surface. The process of running large problems has strained the computational infrastructure almost to the breaking point but indicates the direction for future work.","PeriodicalId":243171,"journal":{"name":"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPDC.1997.626687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In discussions of ASCI, the high-profile procurements of large computers frequently figure prominently. However, from the outset of the ASCI program, applications have been recognized as the driver. These applications feature complex, multi-physics simulations of natural phenomena that generate massive data sets as output. As we have moved from computing systems dominated by parallel vector processing to massively parallel processing we have designed new applications from the ground up to take advantage of the new capabilities. Early payoffs from this effort include running problems that are one to two orders of magnitude larger than any we have been able to run in the past. With these larger problems, we are begining the computational exploration of domains in physics, chemistry and engineering that were previously closed. As we write these codes, issues associated with languages, debuggers and visualization tools have quickly risen to the surface. The process of running large problems has strained the computational infrastructure almost to the breaking point but indicates the direction for future work.
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子囊应用程序
在关于ASCI的讨论中,大型计算机的高调采购经常占据突出位置。然而,从ASCI计划开始,应用程序就被认为是驱动程序。这些应用程序的特点是对自然现象进行复杂的多物理场模拟,生成大量数据集作为输出。随着我们从以并行矢量处理为主的计算系统转向大规模并行处理,我们从头开始设计新的应用程序,以利用新的功能。这项工作的早期回报包括运行的问题比我们过去能够运行的任何问题都要大一到两个数量级。有了这些更大的问题,我们开始了对物理、化学和工程领域的计算探索,这些领域以前是封闭的。当我们编写这些代码时,与语言、调试器和可视化工具相关的问题迅速浮出水面。运行大型问题的过程已经使计算基础设施紧张到几乎崩溃的地步,但这表明了未来工作的方向。
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