{"title":"基于图形处理器(GPU)的触发系统","authors":"G. Collazuol, G. Lamanna, M. Sozzi","doi":"10.1109/RTC.2010.5750343","DOIUrl":null,"url":null,"abstract":"We discuss the possible use of GPUs (Graphics Processing Unit) in the all-digital trigger and data acquisition (TDAQ) chain of the NA62 experiment at CERN. The exponentially growing interest in using GPUs for general purpose applications is based on the impressive performances achieved (peak performance already exceeding the Teraflop/s), on the high bandwidth to memory (hundreds of GB/s) and on the relatively easy high level programming frameworks available.","PeriodicalId":345878,"journal":{"name":"2010 17th IEEE-NPSS Real Time Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A trigger system based on Graphics Processing Unit (GPU)\",\"authors\":\"G. Collazuol, G. Lamanna, M. Sozzi\",\"doi\":\"10.1109/RTC.2010.5750343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss the possible use of GPUs (Graphics Processing Unit) in the all-digital trigger and data acquisition (TDAQ) chain of the NA62 experiment at CERN. The exponentially growing interest in using GPUs for general purpose applications is based on the impressive performances achieved (peak performance already exceeding the Teraflop/s), on the high bandwidth to memory (hundreds of GB/s) and on the relatively easy high level programming frameworks available.\",\"PeriodicalId\":345878,\"journal\":{\"name\":\"2010 17th IEEE-NPSS Real Time Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 17th IEEE-NPSS Real Time Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTC.2010.5750343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE-NPSS Real Time Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTC.2010.5750343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A trigger system based on Graphics Processing Unit (GPU)
We discuss the possible use of GPUs (Graphics Processing Unit) in the all-digital trigger and data acquisition (TDAQ) chain of the NA62 experiment at CERN. The exponentially growing interest in using GPUs for general purpose applications is based on the impressive performances achieved (peak performance already exceeding the Teraflop/s), on the high bandwidth to memory (hundreds of GB/s) and on the relatively easy high level programming frameworks available.
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