Binary synthesis

Author:

Stitt Greg1,Vahid Frank1

Affiliation:

1. University of California, Riverside, CA

Abstract

Recent high-level synthesis approaches and C-based hardware description languages attempt to improve the hardware design process by allowing developers to capture desired hardware functionality in a well-known high-level source language. However, these approaches have yet to achieve wide commercial success due in part to the difficulty of incorporating such approaches into software tool flows. The requirement of using a specific language, compiler, or development environment may cause many software developers to resist such approaches due to the difficulty and possible instability of changing well-established robust tool flows. Thus, in the past several years, synthesis from binaries has been introduced, both in research and in commercial tools, as a means of better integrating with tool flows by supporting all high-level languages and software compilers. Binary synthesis can be more easily integrated into a software development tool-flow by only requiring an additional backend tool, and it even enables completely transparent dynamic translation of executing binaries to configurable hardware circuits. In this article, we survey the key technologies underlying the important emerging field of binary synthesis. We compare binary synthesis to several related areas of research, and we then describe the key technologies required for effective binary synthesis: decompilation techniques necessary for binary synthesis to achieve results competitive with source-level synthesis, hardware/software partitioning methods necessary to find critical binary regions suitable for synthesis, synthesis methods for converting regions to custom circuits, and binary update methods that enable replacement of critical binary regions by circuits.

Funder

Division of Computer and Network Systems

Semiconductor Research Corporation

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference112 articles.

1. Ahpah Software Inc. 2004. SourceAgain Java decompiler. http://www.ahpah.com/product.html. Ahpah Software Inc. 2004. SourceAgain Java decompiler. http://www.ahpah.com/product.html.

2. Altera Corp. 2006. Nios embedded processor. http://www.altera.com/products/ip/processors/nios/nio-index.html. Altera Corp. 2006. Nios embedded processor. http://www.altera.com/products/ip/processors/nios/nio-index.html.

3. Exploiting hardware performance counters with flow and context sensitive profiling

4. Processor reconfiguration through instruction-set metamorphosis

5. Dynamo

Cited by 9 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. Binary synthesis implementing external interrupt handler as independent module;Proceedings of the 28th International Symposium on Rapid System Prototyping Shortening the Path from Specification to Prototype - RSP '17;2017

2. ASTRO: Synthesizing application-specific reconfigurable hardware traces to exploit memory-level parallelism;Microprocessors and Microsystems;2015-10

3. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach;2014 IEEE International Symposium on Parallel and Distributed Processing with Applications;2014-08

4. LegUp;ACM Transactions on Embedded Computing Systems;2013-09

5. Combining static and dynamic array detection for binary synthesis with multiple memory ports;Design Automation for Embedded Systems;2010-11-30

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