A GSA-based compiler infrastructure to extract parallelism from complex loops

Proceedings of the 17th annual international conference on Supercomputing - ICS '03 ◽

10.1145/782814.782842 ◽

2003 ◽

Cited By ~ 9

Author(s):

Manuel Arenaz ◽

Juan Touriño ◽

Ramón Doallo

Keyword(s):

Compiler Infrastructure

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A Type-Preserving Compiler Infrastructure

10.21236/ada436496 ◽

2002 ◽

Cited By ~ 1

Author(s):

Christopher A. League

Keyword(s):

Compiler Infrastructure

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A language extension set to generate adaptive versions automatically

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles ◽

10.2516/ogst/2018049 ◽

2018 ◽

Vol 73 ◽

pp. 52 ◽

Cited By ~ 1

Author(s):

Maxime Schmitt ◽

Cédric Bastoul ◽

Philippe Helluy

Keyword(s):

Second Step ◽

Development Effort ◽

Approximate Computing ◽

Problem Size ◽

Actual Problem ◽

Language Extension ◽

Time Space ◽

Syntactic Information ◽

Compiler Infrastructure ◽

The Impact

A large part of the development effort of compute-intensive applications is devoted to optimization, i.e., achieving the computation within a finite budget of time, space or energy. Given the complexity of modern architectures, writing simulation applications is often a two-step workflow. Firstly, developers design a sequential program for algorithmic tuning and debugging purposes. Secondly, experts optimize and exploit possible approximations of the original program to scale to the actual problem size. This second step is a tedious, time-consuming and error-prone task. In this paper we investigate language extensions and compiler tools to achieve that task semi-automatically in the context of approximate computing. We identified the semantic and syntactic information necessary for a compiler to automatically handle approximation and adaptive techniques for a particular class of programs. We propose a set of language extensions generic enough to provide the compiler with the useful semantic information when approximation is beneficial. We implemented the compiler infrastructure to exploit these extensions and to automatically generate the adaptively approximated version of a program. We provide an experimental study of the impact and expressiveness of our language extension set on various applications.

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