{"title":"用于计算密集统计和模拟的数字信号处理器","authors":"P. Pukite, J. Puķı̄te","doi":"10.1145/382264.382432","DOIUrl":null,"url":null,"abstract":"The objective of this investigation was to evaluate the feasibility of using a digital signal processor (DSP) as a statistical computation \"number cruncher\" in a PC environment. The specific goals were to demonstrate that a DSP has high-speed, low-cost statistical computation and simulation capability, and that it is easy to interface to a conventional personal computer (PC). Through testing a variety of statistical algorithms, the DSP computational speedup was found to be effective. The next phase of our research will consist of prototyping a DSP-based statistics workstation.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Digital signal processors for computation intensive statistics and simulation\",\"authors\":\"P. Pukite, J. Puķı̄te\",\"doi\":\"10.1145/382264.382432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this investigation was to evaluate the feasibility of using a digital signal processor (DSP) as a statistical computation \\\"number cruncher\\\" in a PC environment. The specific goals were to demonstrate that a DSP has high-speed, low-cost statistical computation and simulation capability, and that it is easy to interface to a conventional personal computer (PC). Through testing a variety of statistical algorithms, the DSP computational speedup was found to be effective. The next phase of our research will consist of prototyping a DSP-based statistics workstation.\",\"PeriodicalId\":138785,\"journal\":{\"name\":\"ACM Sigsim Simulation Digest\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigsim Simulation Digest\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/382264.382432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsim Simulation Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/382264.382432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital signal processors for computation intensive statistics and simulation
The objective of this investigation was to evaluate the feasibility of using a digital signal processor (DSP) as a statistical computation "number cruncher" in a PC environment. The specific goals were to demonstrate that a DSP has high-speed, low-cost statistical computation and simulation capability, and that it is easy to interface to a conventional personal computer (PC). Through testing a variety of statistical algorithms, the DSP computational speedup was found to be effective. The next phase of our research will consist of prototyping a DSP-based statistics workstation.