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Formally verified speculation and deoptimization in a JIT compiler

Aurèle Barrière, Sandrine Blazy, Olivier Flückiger, David Pichardie, Jan Vítek

2021Proceedings of the ACM on Programming Languages38 citationsDOIOpen Access PDF

Abstract

Just-in-time compilers for dynamic languages routinely generate code under assumptions that may be invalidated at run-time, this allows for specialization of program code to the common case in order to avoid unnecessary overheads due to uncommon cases. This form of software speculation requires support for deoptimization when some of the assumptions fail to hold. This paper presents a model just-in-time compiler with an intermediate representation that explicits the synchronization points used for deoptimization and the assumptions made by the compiler's speculation. We also present several common compiler optimizations that can leverage speculation to generate improved code. The optimizations are proved correct with the help of a proof assistant. While our work stops short of proving native code generation, we demonstrate how one could use the verified optimization to obtain significant speed ups in an end-to-end setting.

Topics & Concepts

CompilerSpeculationComputer scienceLeverage (statistics)Programming languageParallel computingOptimizing compilerIntermediate languageCode (set theory)Synchronization (alternating current)Dead code eliminationCode generationOperating systemObject codeSet (abstract data type)Key (lock)Channel (broadcasting)MacroeconomicsMachine learningEconomicsComputer networkParallel Computing and Optimization TechniquesLogic, programming, and type systemsFormal Methods in Verification
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