Surviving the end of frequency scaling with reconfigurable dataflow computing

Author:

Pell Oliver1,Mencer Oskar2

Affiliation:

1. Maxeler Technologies, London, UK

2. Maxeler Technologies, London, UK and Imperial College London, London, UK

Abstract

Over the past decade x86 processors have come to dominate the world's largest supercomputers. However in the future conventional multicore processors are unlikely to be able to deliver the necessary performance per $ and per W to achieve exascale performance. Heterogeneous computing is emerging as a powerful alternative to conventional multi-core to help address these challenges. In this paper we describe our approach to Maximum Performance Computing - building applicationspecific computers which complement conventional x86 processors with high performance dataflow engines implemented on FPGA to provide 10-100x improvements in performance and performance/W. We describe the MaxCompiler programming system which allows software engineers to create dataflow engines optimized for their particular applications, and discuss an example application that has been accelerated using this methodology.

Publisher

Association for Computing Machinery (ACM)

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applications and Techniques for Fast Machine Learning in Science;Frontiers in Big Data;2022-04-12

2. Systematically migrating an operational microphysics parameterisation to FPGA technology;2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2021-05

3. UNILOGIC;ACM Transactions on Reconfigurable Technology and Systems;2020-10

4. First Steps in Porting the LFRic Weather and Climate Model to the FPGAs of the EuroExa Architecture;Scientific Programming;2019-10-13

5. VHDL vs. SystemC: Design of Highly Parameterizable Artificial Neural Networks;IEICE Transactions on Information and Systems;2019-03-01

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