Blade-OC异步弹性模板本研究得到了NSF资助#1619415的部分支持。

2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) Pub Date : 2018-07-01 DOI:10.1109/PATMOS.2018.8463998

Moisés Herrera, Tingyu Wang, P. Beerel

{"title":"Blade-OC异步弹性模板本研究得到了NSF资助#1619415的部分支持。","authors":"Moisés Herrera, Tingyu Wang, P. Beerel","doi":"10.1109/PATMOS.2018.8463998","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel timing-resilient asynchronous bundled-data template called Blade-OC. The template replaces the synchronous global clock driving FFs with asynchronous controllers that drive error-detecting latches. Compared to its predecessors, the template supports a larger timing resiliency window (TRW) enabling higher performance for designs with wide variations in delay, such as seen in near and subthreshold computing. This paper quantifies this performance improvement for a variety of pipeline structures assuming lognormal datapath delay distributions.","PeriodicalId":234100,"journal":{"name":"2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blade-OC Asynchronous Resilient Template ‡ This research has been supported in part by NSF Grant #1619415.\",\"authors\":\"Moisés Herrera, Tingyu Wang, P. Beerel\",\"doi\":\"10.1109/PATMOS.2018.8463998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a novel timing-resilient asynchronous bundled-data template called Blade-OC. The template replaces the synchronous global clock driving FFs with asynchronous controllers that drive error-detecting latches. Compared to its predecessors, the template supports a larger timing resiliency window (TRW) enabling higher performance for designs with wide variations in delay, such as seen in near and subthreshold computing. This paper quantifies this performance improvement for a variety of pipeline structures assuming lognormal datapath delay distributions.\",\"PeriodicalId\":234100,\"journal\":{\"name\":\"2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PATMOS.2018.8463998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PATMOS.2018.8463998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了一种新的时间弹性异步捆绑数据模板Blade-OC。该模板将驱动ff的同步全局时钟替换为驱动错误检测锁存器的异步控制器。与之前的模板相比，该模板支持更大的时序弹性窗口(TRW)，可以为延迟变化较大的设计提供更高的性能，例如在近阈值和亚阈值计算中看到的。本文量化了假设对数正态数据路径延迟分布的各种管道结构的性能改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Blade-OC Asynchronous Resilient Template ‡ This research has been supported in part by NSF Grant #1619415.

This paper introduces a novel timing-resilient asynchronous bundled-data template called Blade-OC. The template replaces the synchronous global clock driving FFs with asynchronous controllers that drive error-detecting latches. Compared to its predecessors, the template supports a larger timing resiliency window (TRW) enabling higher performance for designs with wide variations in delay, such as seen in near and subthreshold computing. This paper quantifies this performance improvement for a variety of pipeline structures assuming lognormal datapath delay distributions.

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

2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)

自引率

0.00%

发文量