Two decades of automatic amortized resource analysis

Author:

Hoffmann JanORCID,Jost Steffen

Abstract

AbstractThis article gives an overview of automatic amortized resource analysis (AARA), a technique for inferring symbolic resource bounds for programs at compile time. AARA has been introduced by Hofmann and Jost in 2003 as a type system for deriving linear worst-case bounds on the heap-space consumption of first-order functional programs with eager evaluation strategy. Since then AARA has been the subject of dozens of research articles, which extended the analysis to different resource metrics, other evaluation strategies, non-linear bounds, and additional language features. All these works preserved the defining characteristics of the original paper: local inference rules, which reduce bound inference to numeric (usually linear) optimization; a soundness proof with respect to an operational cost semantics; and the support of amortized analysis with the potential method.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Mathematics (miscellaneous)

Reference68 articles.

1. Hoffmann, J. (2011). Types with Potential: Polynomial Resource Bounds via Automatic Amortized Analysis. Phd thesis, Ludwig-Maximilians-Universität München.

2. Jost, S. (2010). Automated Amortised Analysis. Phd thesis, Faculty of Mathematics, Computer Science and Statistics, LMU Munich, Germany, September 2010.

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