{"title":"费米实验室的高性能并行本地存储器计算","authors":"T. Nash","doi":"10.1109/WHP.1992.664392","DOIUrl":null,"url":null,"abstract":"Both experimental and theoretical approaches to high energy physics (HEP) at Fermilab are computer technology limited: no one can identify a requirement on computing or data capacity that is independent of cost or other realities. Fermilab has been forced, therefore, to turn significant attention and resources to finding extremely cost effective solutions to its computing using whatever technology is available, and in the process has become a pioneer in goal-driven computer science, integrating commercial solution at the chip, board, and system level. In recent years, most obviously first in the hypercube movement, and now in the surge of interest in networked parallel workstation clusters,'' explicit parallelism has become a recognized force in the computer science attack on the problem of parallel computing. The report discusses the implementation of these computer systems.","PeriodicalId":201815,"journal":{"name":"Proceedings. Workshop on Heterogeneous Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"High Performance Parallel Local Memory Computing at Fermilab\",\"authors\":\"T. Nash\",\"doi\":\"10.1109/WHP.1992.664392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Both experimental and theoretical approaches to high energy physics (HEP) at Fermilab are computer technology limited: no one can identify a requirement on computing or data capacity that is independent of cost or other realities. Fermilab has been forced, therefore, to turn significant attention and resources to finding extremely cost effective solutions to its computing using whatever technology is available, and in the process has become a pioneer in goal-driven computer science, integrating commercial solution at the chip, board, and system level. In recent years, most obviously first in the hypercube movement, and now in the surge of interest in networked parallel workstation clusters,'' explicit parallelism has become a recognized force in the computer science attack on the problem of parallel computing. The report discusses the implementation of these computer systems.\",\"PeriodicalId\":201815,\"journal\":{\"name\":\"Proceedings. Workshop on Heterogeneous Processing\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Workshop on Heterogeneous Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WHP.1992.664392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Workshop on Heterogeneous Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHP.1992.664392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High Performance Parallel Local Memory Computing at Fermilab
Both experimental and theoretical approaches to high energy physics (HEP) at Fermilab are computer technology limited: no one can identify a requirement on computing or data capacity that is independent of cost or other realities. Fermilab has been forced, therefore, to turn significant attention and resources to finding extremely cost effective solutions to its computing using whatever technology is available, and in the process has become a pioneer in goal-driven computer science, integrating commercial solution at the chip, board, and system level. In recent years, most obviously first in the hypercube movement, and now in the surge of interest in networked parallel workstation clusters,'' explicit parallelism has become a recognized force in the computer science attack on the problem of parallel computing. The report discusses the implementation of these computer systems.