C. Kersey, S. Yalamanchili, Hyojong Kim, Nimit Nigania, Hyesoon Kim
{"title":"口琴:基于fpga的数据并行软核","authors":"C. Kersey, S. Yalamanchili, Hyojong Kim, Nimit Nigania, Hyesoon Kim","doi":"10.1109/FCCM.2014.53","DOIUrl":null,"url":null,"abstract":"General-purpose GPUs or GPGPUs have taken their place in the market, being present in 38 of the Top 500 supercomputers [5]. In the same way that the emergence of FPGAs in the 1980s led to a demand for soft cores with instruction sets similar to the CPUs of the day, we anticipate a similar demand in the 2010s for soft cores with GPGPU instruction sets. These architectures are distinguished by their SIMT, single-instruction-multiple-thread, execution model, acheiving throughput by running multiple threads of execution simultaneously across multiple functional units, keeping separate register values for each lane of execution.","PeriodicalId":246162,"journal":{"name":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","volume":"257 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Harmonica: An FPGA-Based Data Parallel Soft Core\",\"authors\":\"C. Kersey, S. Yalamanchili, Hyojong Kim, Nimit Nigania, Hyesoon Kim\",\"doi\":\"10.1109/FCCM.2014.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"General-purpose GPUs or GPGPUs have taken their place in the market, being present in 38 of the Top 500 supercomputers [5]. In the same way that the emergence of FPGAs in the 1980s led to a demand for soft cores with instruction sets similar to the CPUs of the day, we anticipate a similar demand in the 2010s for soft cores with GPGPU instruction sets. These architectures are distinguished by their SIMT, single-instruction-multiple-thread, execution model, acheiving throughput by running multiple threads of execution simultaneously across multiple functional units, keeping separate register values for each lane of execution.\",\"PeriodicalId\":246162,\"journal\":{\"name\":\"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"257 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2014.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2014.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
General-purpose GPUs or GPGPUs have taken their place in the market, being present in 38 of the Top 500 supercomputers [5]. In the same way that the emergence of FPGAs in the 1980s led to a demand for soft cores with instruction sets similar to the CPUs of the day, we anticipate a similar demand in the 2010s for soft cores with GPGPU instruction sets. These architectures are distinguished by their SIMT, single-instruction-multiple-thread, execution model, acheiving throughput by running multiple threads of execution simultaneously across multiple functional units, keeping separate register values for each lane of execution.
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