{"title":"RISC-V生态系统中十进制计算软硬件协同设计的周期精度评估","authors":"Riaz-ul-haque Mian, Michihiro Shintani, M. Inoue","doi":"10.1109/SOCC46988.2019.1570559752","DOIUrl":null,"url":null,"abstract":"Software-hardware co-design solutions for decimal computation can provide several Pareto points to development of embedded systems in terms of hardware cost and performance. This paper demonstrates how to accurately evaluate such co-design solutions using RISC-V ecosystem. In a software-hardware co-design solution, a part of solution requires dedicated hardware. In our evaluation framework, we develop new decimal oriented instructions supported by an accelerator. The framework can realize cycle-accurate analysis for performance as well as hardware overhead for co-design solutions for decimal computation. The obtained performance result is compared with an estimation with dummy functions.","PeriodicalId":253998,"journal":{"name":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cycle-Accurate Evaluation of Software-Hardware Co-Design of Decimal Computation in RISC-V Ecosystem\",\"authors\":\"Riaz-ul-haque Mian, Michihiro Shintani, M. Inoue\",\"doi\":\"10.1109/SOCC46988.2019.1570559752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software-hardware co-design solutions for decimal computation can provide several Pareto points to development of embedded systems in terms of hardware cost and performance. This paper demonstrates how to accurately evaluate such co-design solutions using RISC-V ecosystem. In a software-hardware co-design solution, a part of solution requires dedicated hardware. In our evaluation framework, we develop new decimal oriented instructions supported by an accelerator. The framework can realize cycle-accurate analysis for performance as well as hardware overhead for co-design solutions for decimal computation. The obtained performance result is compared with an estimation with dummy functions.\",\"PeriodicalId\":253998,\"journal\":{\"name\":\"2019 32nd IEEE International System-on-Chip Conference (SOCC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 32nd IEEE International System-on-Chip Conference (SOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCC46988.2019.1570559752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC46988.2019.1570559752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cycle-Accurate Evaluation of Software-Hardware Co-Design of Decimal Computation in RISC-V Ecosystem
Software-hardware co-design solutions for decimal computation can provide several Pareto points to development of embedded systems in terms of hardware cost and performance. This paper demonstrates how to accurately evaluate such co-design solutions using RISC-V ecosystem. In a software-hardware co-design solution, a part of solution requires dedicated hardware. In our evaluation framework, we develop new decimal oriented instructions supported by an accelerator. The framework can realize cycle-accurate analysis for performance as well as hardware overhead for co-design solutions for decimal computation. The obtained performance result is compared with an estimation with dummy functions.