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Atune-IL: An Instrumentation Language for Auto-Tuning Parallel Applications

Atune-IL: An Instrumentation Language for Auto-Tuning Parallel Applications
Tagung:

Konferenzartikel 

Jahr:

2009 

Autoren:

Christoph A. Schaefer
Victor Pankratius
Walter F. Tichy
 

Links:PDF

Summary

Auto-tuners automate the performance tuning of parallel applications. Three major drawbacks of current approaches are 1) they mainly focus on numerical software 2) they typically do not attempt to reduce the large search space before search algorithms are applied 3) the means to provide an auto-tuner with additional information to improve tuning are limited.Our paper tackles these problems in a novel way by focusing on the interaction between an auto-tuner and a parallel application. In particular, we introduce Atune-IL, an instrumentation language that uses new types of code annotations to mark tuning parameters, blocks, permutation regions, and measuring points. Atune-IL allows a more accurate extraction of meta-information to help an auto-tuner prune the search space emph{before} employing search algorithms. In addition, Atune-IL's concepts target parallel applications in general, not just numerical programs.Atune-IL has been successfully evaluated in several case studies with parallel applications differing in size, programming language, and application domain one case study employed a large commercial application with nested parallelism. On average, Atune-IL reduced search spaces by 78%. In two corner cases, 99% of the search space could be pruned.

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Bibtex

@inproceedings{,
author={Christoph A. Schaefer, Victor Pankratius, Walter F. Tichy},
title={Atune-IL: An Instrumentation Language for Auto-Tuning Parallel Applications},
year=2009,
month=Aug,
booktitle={Proceedings of the 15th International Euro-Par Conference on Parallel Processing},
volume={LNCS},
editor={Springer Berlin / Heidelberg},
url={https://ps.ipd.kit.edu/downloads/ka_2009_atune_il_instrumentation_language.pdf},
abstract={Auto-tuners automate the performance tuning of parallel applications. Three major drawbacks of current approaches are 1) they mainly focus on numerical software 2) they typically do not attempt to reduce the large search space before search algorithms are applied 3) the means to provide an auto-tuner with additional information to improve tuning are limited.Our paper tackles these problems in a novel way by focusing on the interaction between an auto-tuner and a parallel application. In particular, we introduce Atune-IL, an instrumentation language that uses new types of code annotations to mark tuning parameters, blocks, permutation regions, and measuring points. Atune-IL allows a more accurate extraction of meta-information to help an auto-tuner prune the search space \emph{before} employing search algorithms. In addition, Atune-IL's concepts target parallel applications in general, not just numerical programs.Atune-IL has been successfully evaluated in several case studies with parallel applications differing in size, programming language, and application domain one case study employed a large commercial application with nested parallelism. On average, Atune-IL reduced search spaces by 78\%. In two corner cases, 99\% of the search space could be pruned.},
number={5704/2009},
pages={9--20},