Verifying efficient function calls in CakeML

Author:

Owens Scott1,Norrish Michael2,Kumar Ramana3,Myreen Magnus O.4,Tan Yong Kiam5

Affiliation:

1. University of Kent, UK

2. Data61 at CSIRO, Australia / Australian National University, Australia

3. Data61 at CSIRO, Australia / UNSW, Australia

4. Chalmers University of Technology, Sweden

5. Carnegie Mellon University, USA

Abstract

We have designed an intermediate language (IL) for the CakeML compiler that supports the verified, efficient compilation of functions and calls. Verified compilation steps include batching of multiple curried arguments, detecting calls to statically known functions, and specialising calls to known functions with no free variables. Finally, we verify the translation to a lower-level IL that only supports closed, first-order functions. These compilation steps resemble those found in other compilers (especially OCaml). Our contribution here is the design of the semantics of the IL, and the demonstration that our verification techniques over this semantics work well in practice at this scale. The entire development was carried out in the HOL4 theorem prover.

Funder

Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Cited by 11 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. Cakes That Bake Cakes: Dynamic Computation in CakeML;Proceedings of the ACM on Programming Languages;2023-06-06

2. Formally Verified Native Code Generation in an Effectful JIT: Turning the CompCert Backend into a Formally Verified JIT Compiler;Proceedings of the ACM on Programming Languages;2023-01-09

3. On Coevaluation Behavior and Equivalence;Mathematics;2022-10-14

4. Compiling with continuations, correctly;Proceedings of the ACM on Programming Languages;2021-10-20

5. Compositional optimizations for CertiCoq;Proceedings of the ACM on Programming Languages;2021-08-22

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