{"title":"Memory requirements to balance thus asymptotically full-speedup FFT computation on processor arrays","authors":"J. Shieh","doi":"10.1109/IPPS.1992.223045","DOIUrl":null,"url":null,"abstract":"The paper proves that for a linearly-connected array of alpha processors or a mesh-connected array of alpha /sup 2/ processors, where each processor has computation bandwidth C, I/O bandwidth I and C/I=logm, Omega (m/sup alpha /) memory size is required in each processor to minimize the I/O requirement in balancing the FFT computation. Then it presents balanced FFT algorithms on these arrays to meet their memory size lower bounds. These algorithms are time optimal exhibiting full speedups.<<ETX>>","PeriodicalId":340070,"journal":{"name":"Proceedings Sixth International Parallel Processing Symposium","volume":"21 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1992.223045","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
The paper proves that for a linearly-connected array of alpha processors or a mesh-connected array of alpha /sup 2/ processors, where each processor has computation bandwidth C, I/O bandwidth I and C/I=logm, Omega (m/sup alpha /) memory size is required in each processor to minimize the I/O requirement in balancing the FFT computation. Then it presents balanced FFT algorithms on these arrays to meet their memory size lower bounds. These algorithms are time optimal exhibiting full speedups.<>
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