NDLI: MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

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MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

Content Provider	ACM Digital Library
Author	Gysi, Tobias Grosser, Tobias Hoefler, Torsten
Abstract	Code transformations, such as loop tiling and loop fusion, are of key importance for the efficient implementation of stencil computations. However, their direct application to a large code base is costly and severely impacts program maintainability. While recently introduced domain-specific languages facilitate the application of such transformations, they typically still require manual tuning or auto-tuning techniques to select the transformations that yield optimal performance. In this paper, we introduce MODESTO, a model-driven stencil optimization framework, that for a stencil program suggests program transformations optimized for a given target architecture. Initially, we review and categorize data locality transformations for stencil programs and introduce a stencil algebra that allows the expression and enumeration of different stencil program implementation variants. Combining this algebra with a compile-time performance model, we show how to automatically tune stencil programs. We use our framework to model the STELLA library and optimize kernels used by the COSMO atmospheric model on multi-core and hybrid CPU-GPU architectures. Compared to naive and expert-tuned variants, the automatically tuned kernels attain a 2.0-3.1x and a 1.0-1.8x speedup respectively.
Starting Page	177
Ending Page	186
Page Count	10
File Format	PDF
ISBN	9781450335591
DOI	10.1145/2751205.2751223
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-06-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Heterogeneous systems Stencil Tiling Performance model Fusion
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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