{"title":"将过载的并行计算成分压缩到单个架构配方中","authors":"Riadh Ben Abdelhamid, Y. Yamaguchi, T. Boku","doi":"10.1109/ASAP49362.2020.00013","DOIUrl":null,"url":null,"abstract":"General-purpose processors offer the best programming flexibility to address a wide range of problems. Nonetheless, they still lack behind special-purpose processors when it comes to sustained computational performance. Here, we leverage the best from both worlds and we propose a flexible, highly scalable, high-performance computing architecture with versatility in mind. The proposed architecture code-named DRAGON, benefits from several forms of parallelism such as SIMD, VLIW, Memory Broadcasting and even vector processing.","PeriodicalId":375691,"journal":{"name":"2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Condensing an overload of parallel computing ingredients into a single architecture recipe\",\"authors\":\"Riadh Ben Abdelhamid, Y. Yamaguchi, T. Boku\",\"doi\":\"10.1109/ASAP49362.2020.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"General-purpose processors offer the best programming flexibility to address a wide range of problems. Nonetheless, they still lack behind special-purpose processors when it comes to sustained computational performance. Here, we leverage the best from both worlds and we propose a flexible, highly scalable, high-performance computing architecture with versatility in mind. The proposed architecture code-named DRAGON, benefits from several forms of parallelism such as SIMD, VLIW, Memory Broadcasting and even vector processing.\",\"PeriodicalId\":375691,\"journal\":{\"name\":\"2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP49362.2020.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP49362.2020.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Condensing an overload of parallel computing ingredients into a single architecture recipe
General-purpose processors offer the best programming flexibility to address a wide range of problems. Nonetheless, they still lack behind special-purpose processors when it comes to sustained computational performance. Here, we leverage the best from both worlds and we propose a flexible, highly scalable, high-performance computing architecture with versatility in mind. The proposed architecture code-named DRAGON, benefits from several forms of parallelism such as SIMD, VLIW, Memory Broadcasting and even vector processing.
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