Verifying an Effect-Handler-Based Define-By-Run Reverse-Mode AD Library

IF 0.6 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS Logical Methods in Computer Science Pub Date : 2023-10-23 DOI:10.46298/lmcs-19(4:5)2023
Paulo Emílio de Vilhena, François Pottier
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引用次数: 1

Abstract

We apply program verification technology to the problem of specifying and verifying automatic differentiation (AD) algorithms. We focus on define-by-run, a style of AD where the program that must be differentiated is executed and monitored by the automatic differentiation algorithm. We begin by asking, "what is an implementation of AD?" and "what does it mean for an implementation of AD to be correct?" We answer these questions both at an informal level, in precise English prose, and at a formal level, using types and logical assertions. After answering these broad questions, we focus on a specific implementation of AD, which involves a number of subtle programming-language features, including dynamically allocated mutable state, first-class functions, and effect handlers. We present a machine-checked proof, expressed in a modern variant of Separation Logic, of its correctness. We view this result as an advanced exercise in program verification, with potential future applications to the verification of more realistic automatic differentiation systems and of other software components that exploit delimited-control effects.
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验证基于效果处理程序的逐运行定义反向模式AD库
将程序验证技术应用于自动微分(AD)算法的指定和验证问题。我们专注于逐行定义,这是一种AD风格,其中必须被区分的程序由自动区分算法执行和监控。我们首先要问,“什么是AD的实现?”以及“AD的正确实现意味着什么?”我们在非正式层面(用精确的英语散文)和正式层面(用类型和逻辑断言)回答这些问题。在回答了这些广泛的问题之后,我们将重点关注AD的具体实现,它涉及许多微妙的编程语言特性,包括动态分配的可变状态、一等函数和效果处理程序。我们提出了一个机器检验的证明,用分离逻辑的现代变体来表示它的正确性。我们认为这一结果是程序验证的高级练习,具有潜在的未来应用于验证更现实的自动区分系统和其他利用分隔控制效果的软件组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Logical Methods in Computer Science
Logical Methods in Computer Science 工程技术-计算机:理论方法
CiteScore
1.80
自引率
0.00%
发文量
105
审稿时长
6-12 weeks
期刊介绍: Logical Methods in Computer Science is a fully refereed, open access, free, electronic journal. It welcomes papers on theoretical and practical areas in computer science involving logical methods, taken in a broad sense; some particular areas within its scope are listed below. Papers are refereed in the traditional way, with two or more referees per paper. Copyright is retained by the author. Topics of Logical Methods in Computer Science: Algebraic methods Automata and logic Automated deduction Categorical models and logic Coalgebraic methods Computability and Logic Computer-aided verification Concurrency theory Constraint programming Cyber-physical systems Database theory Defeasible reasoning Domain theory Emerging topics: Computational systems in biology Emerging topics: Quantum computation and logic Finite model theory Formalized mathematics Functional programming and lambda calculus Inductive logic and learning Interactive proof checking Logic and algorithms Logic and complexity Logic and games Logic and probability Logic for knowledge representation Logic programming Logics of programs Modal and temporal logics Program analysis and type checking Program development and specification Proof complexity Real time and hybrid systems Reasoning about actions and planning Satisfiability Security Semantics of programming languages Term rewriting and equational logic Type theory and constructive mathematics.
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