Automatic generation of high-speed accurate TLM models for out-of-order pipelined bus

Author:

Lo Chen-Kang1,Li Mao-Lin1,Chen Li-Chun1,Lu Yi-Shan1,Tsay Ren-Song1,Huang Hsu-Yao2,Yeh Jen-Chieh2

Affiliation:

1. National Tsing Hua University, HsinChu, Taiwan

2. Industrial Technology Research Institute, HsinChu, Taiwan

Abstract

Although pipelined/out-of-order (PL/OO) execution features are commonly supported by the state-of-the-art bus designs, no existing manual Transaction-Level-Modeling (TLM) approaches can effectively construct fast and accurate simulation models for PL/OO buses. Mainly, the inherent high design complexity of concurrent PL/OO behaviors makes the manual approaches tedious and error-prone. To tackle the complicated modeling task, this article presents an automatic approach that performs systematic abstraction and generation of fast-and-accurate simulation models. The experimental results show that our approach reduces 21 times modeling efforts, while our generated models perform simulation an order of magnitude faster than Cycle-Accurate models with the same PL/OO transaction execution cycle counts preserved.

Funder

Industry Technology Research Institute

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference26 articles.

1. AMBA 4.0. http://www.arm.com/products/system-ip/amba/amba-open-specifications.php. AMBA 4.0. http://www.arm.com/products/system-ip/amba/amba-open-specifications.php.

2. Multi-Accuracy Power and Performance Transaction-Level Modeling

3. Transaction level modeling

4. CoWare. http://www.synopsys.com/Tools/SLD/Pages/default.aspx. CoWare. http://www.synopsys.com/Tools/SLD/Pages/default.aspx.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3