{"title":"利润有效的并行计算","authors":"Yong Yan, Xiaodong Zhang","doi":"10.1109/4434.766967","DOIUrl":null,"url":null,"abstract":"Researchers widely use speedup, efficiency, and scalability to assess parallel computing performance. These metrics encourage researchers to use any novel technique to design or improve a parallel system, without paying enough attention to the cost increase that such a technique incurs. However, as national-defense applications are downsizing, commercial applications are the dominant users of parallel systems. Customers and vendors are particularly concerned with whether a parallel system can make a profit. Our major goal is to investigate financially justified parallel computing. To evaluate parallel computing's effectiveness, we use a simple profitup metric to measure how performance, cost, and business production affect profit. We focus on investigating the relationship between cost-effective parallel computing and profit-effective parallel computing.","PeriodicalId":282630,"journal":{"name":"IEEE Concurr.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Profit-effective parallel computing\",\"authors\":\"Yong Yan, Xiaodong Zhang\",\"doi\":\"10.1109/4434.766967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Researchers widely use speedup, efficiency, and scalability to assess parallel computing performance. These metrics encourage researchers to use any novel technique to design or improve a parallel system, without paying enough attention to the cost increase that such a technique incurs. However, as national-defense applications are downsizing, commercial applications are the dominant users of parallel systems. Customers and vendors are particularly concerned with whether a parallel system can make a profit. Our major goal is to investigate financially justified parallel computing. To evaluate parallel computing's effectiveness, we use a simple profitup metric to measure how performance, cost, and business production affect profit. We focus on investigating the relationship between cost-effective parallel computing and profit-effective parallel computing.\",\"PeriodicalId\":282630,\"journal\":{\"name\":\"IEEE Concurr.\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Concurr.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/4434.766967\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Concurr.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/4434.766967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Researchers widely use speedup, efficiency, and scalability to assess parallel computing performance. These metrics encourage researchers to use any novel technique to design or improve a parallel system, without paying enough attention to the cost increase that such a technique incurs. However, as national-defense applications are downsizing, commercial applications are the dominant users of parallel systems. Customers and vendors are particularly concerned with whether a parallel system can make a profit. Our major goal is to investigate financially justified parallel computing. To evaluate parallel computing's effectiveness, we use a simple profitup metric to measure how performance, cost, and business production affect profit. We focus on investigating the relationship between cost-effective parallel computing and profit-effective parallel computing.