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Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Integrating STELLA & MODESTO: Definition and Optimization of Complex Stencil Programs

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, ACM Student Research Competition Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Tobias Gysi

ROOM:Level 4 - Lobby

ABSTRACT:

An efficient implementation of complex stencil programs requires data-locality transformations such as loop tiling and loop fusion. When applying these transformations we face two main challenges: 1) the direct application is costly and typically results in code that is optimized for a specific target architecture and 2) the selection of good transformations is not straightforward. We address these challenges using STELLA a stencil library that abstracts data-locality transformations and MODESTO a model-driven stencil optimization framework. In particular, MODESTO represents different stencil program implementation variants using a stencil algebra and selects good transformations based on a compile-time performance model. We evaluate the effectiveness of the approach using example kernels from the COSMO atmospheric model. Compared to naive and expert-tuned variants we attain a 2.0-3.1x and a 1.0-1.8x speedup respectively.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Tobias Gysi - ETH Zurich

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