嵌入式物联网中节能稀疏blas的190GFLOPS/W DSP

2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits) Pub Date : 2016-06-15 DOI:10.1109/VLSIC.2016.7573527

R. Dorrance, D. Markovic

{"title":"嵌入式物联网中节能稀疏blas的190GFLOPS/W DSP","authors":"R. Dorrance, D. Markovic","doi":"10.1109/VLSIC.2016.7573527","DOIUrl":null,"url":null,"abstract":"A DSP for sparse-BLAS is realized in 40nm CMOS. Featuring an efficient data stream reordering scheme and an intelligent, CSC-aware memory controller, the DSP achieves a peak energy efficiency of 190 GFLOPS/W at 0.6V, 160MHz, and a peak performance of 4.12 GFLOPS at 1V, 515MHz showing more than 6,600×, 2,700×, 1,100×, and 450× higher energy efficiency than state-of-the-art CPU, GPU, DSP, and FPGA hardware designs, respectively.","PeriodicalId":6512,"journal":{"name":"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)","volume":"67 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A 190GFLOPS/W DSP for energy-efficient sparse-BLAS in embedded IoT\",\"authors\":\"R. Dorrance, D. Markovic\",\"doi\":\"10.1109/VLSIC.2016.7573527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A DSP for sparse-BLAS is realized in 40nm CMOS. Featuring an efficient data stream reordering scheme and an intelligent, CSC-aware memory controller, the DSP achieves a peak energy efficiency of 190 GFLOPS/W at 0.6V, 160MHz, and a peak performance of 4.12 GFLOPS at 1V, 515MHz showing more than 6,600×, 2,700×, 1,100×, and 450× higher energy efficiency than state-of-the-art CPU, GPU, DSP, and FPGA hardware designs, respectively.\",\"PeriodicalId\":6512,\"journal\":{\"name\":\"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)\",\"volume\":\"67 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIC.2016.7573527\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIC.2016.7573527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

在40nm CMOS上实现了稀疏blas的DSP。DSP采用高效的数据流重排序方案和智能的、ccs感知的内存控制器，在0.6V、160MHz时实现190 GFLOPS/W的峰值能效，在1V、515MHz时实现4.12 GFLOPS的峰值性能，分别比当前最先进的CPU、GPU、DSP和FPGA硬件设计高出6600倍、2700倍、1100倍和450倍的能效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A 190GFLOPS/W DSP for energy-efficient sparse-BLAS in embedded IoT

A DSP for sparse-BLAS is realized in 40nm CMOS. Featuring an efficient data stream reordering scheme and an intelligent, CSC-aware memory controller, the DSP achieves a peak energy efficiency of 190 GFLOPS/W at 0.6V, 160MHz, and a peak performance of 4.12 GFLOPS at 1V, 515MHz showing more than 6,600×, 2,700×, 1,100×, and 450× higher energy efficiency than state-of-the-art CPU, GPU, DSP, and FPGA hardware designs, respectively.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits)

自引率

0.00%

发文量