NDLI: Compile-time function memoization

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Compile-time function memoization

Content Provider	ACM Digital Library
Author	Suresh, Arjun Rohou, Erven Seznec, André
Abstract	Memoization is the technique of saving the results of computations so that future executions can be omitted when the same inputs repeat. Recent work showed that memoization can be applied to dynamically linked pure functions using a load-time technique and results were encouraging for the demonstrated transcendental functions. A restriction of the proposed framework was that memoization was restricted only to dynamically linked functions and the functions must be determined beforehand. In this work, we propose function memoization using a compile-time technique thus extending the scope of memoization to user defined functions as well as making it transparently applicable to any dynamically linked functions. Our compile-time technique allows static linking of memoization code and this increases the benefit due to memoization by leveraging the inlining capability for the memoization wrapper. Our compile-time analysis can also handle functions with pointer parameters, and we handle constants more efficiently. Instruction set support can also be considered, and we propose associated hardware leading to additional performance gain. .
Starting Page	45
Ending Page	54
Page Count	10
File Format	PDF
ISBN	9781450352338
DOI	10.1145/3033019.3033024
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-02-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Instruction set extension Compilation Memoization Performance Optimization
Content Type	Text
Resource Type	Article

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