Tanvir Ahmed, N. Sakamoto, J. Anderson, Yuko Hara-Azumi
{"title":"基于MIPS-ISA和OISC的可合成嵌入式处理器","authors":"Tanvir Ahmed, N. Sakamoto, J. Anderson, Yuko Hara-Azumi","doi":"10.1109/EUC.2015.23","DOIUrl":null,"url":null,"abstract":"We describe a lightweight open-source MIPS-ISA processor, wherein performance and area can be flexibly traded-off with one another. The processor contains an ultra-low-cost co-processor capable of executing programs comprised of SUBLEQ instructions (subtract and branch if the difference is ≤ 0), which recent work has shown to be sufficient for any computation. Area/performance trade-offs are realized by implementing a user-selectable subset of MIPS instructions with functionally equivalent SUBLEQ sub-routines that run on the coprocessor. Silicon area is reduced as more MIPS instructions are implemented with the co-processor, rather than \"natively\" using functional units within the host MIPS. The processor is described in the C language and synthesized to an FPGA hardware implementation with high-level synthesis (HLS). Since it is specified at a high level of abstraction, it is straightforward to tailor to any application. As such, the processor can be viewed as a family of processors with different area/performance/power characteristics. In an experimental study, we compare a variety of processor variants, wherein different subsets of MIPS instructions are handled by the co-processor. We also compare the proposed synthesizable processor with a hand-designed 5-pipeline-stage MIPS implementation, and achieve area reductions ranging from 2.5 - 4×.","PeriodicalId":299207,"journal":{"name":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Synthesizable-from-C Embedded Processor Based on MIPS-ISA and OISC\",\"authors\":\"Tanvir Ahmed, N. Sakamoto, J. Anderson, Yuko Hara-Azumi\",\"doi\":\"10.1109/EUC.2015.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a lightweight open-source MIPS-ISA processor, wherein performance and area can be flexibly traded-off with one another. The processor contains an ultra-low-cost co-processor capable of executing programs comprised of SUBLEQ instructions (subtract and branch if the difference is ≤ 0), which recent work has shown to be sufficient for any computation. Area/performance trade-offs are realized by implementing a user-selectable subset of MIPS instructions with functionally equivalent SUBLEQ sub-routines that run on the coprocessor. Silicon area is reduced as more MIPS instructions are implemented with the co-processor, rather than \\\"natively\\\" using functional units within the host MIPS. The processor is described in the C language and synthesized to an FPGA hardware implementation with high-level synthesis (HLS). Since it is specified at a high level of abstraction, it is straightforward to tailor to any application. As such, the processor can be viewed as a family of processors with different area/performance/power characteristics. In an experimental study, we compare a variety of processor variants, wherein different subsets of MIPS instructions are handled by the co-processor. We also compare the proposed synthesizable processor with a hand-designed 5-pipeline-stage MIPS implementation, and achieve area reductions ranging from 2.5 - 4×.\",\"PeriodicalId\":299207,\"journal\":{\"name\":\"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUC.2015.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2015.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesizable-from-C Embedded Processor Based on MIPS-ISA and OISC
We describe a lightweight open-source MIPS-ISA processor, wherein performance and area can be flexibly traded-off with one another. The processor contains an ultra-low-cost co-processor capable of executing programs comprised of SUBLEQ instructions (subtract and branch if the difference is ≤ 0), which recent work has shown to be sufficient for any computation. Area/performance trade-offs are realized by implementing a user-selectable subset of MIPS instructions with functionally equivalent SUBLEQ sub-routines that run on the coprocessor. Silicon area is reduced as more MIPS instructions are implemented with the co-processor, rather than "natively" using functional units within the host MIPS. The processor is described in the C language and synthesized to an FPGA hardware implementation with high-level synthesis (HLS). Since it is specified at a high level of abstraction, it is straightforward to tailor to any application. As such, the processor can be viewed as a family of processors with different area/performance/power characteristics. In an experimental study, we compare a variety of processor variants, wherein different subsets of MIPS instructions are handled by the co-processor. We also compare the proposed synthesizable processor with a hand-designed 5-pipeline-stage MIPS implementation, and achieve area reductions ranging from 2.5 - 4×.