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  From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Blazewicz, M., Hinder, I., Koppelman, D. M., Brandt, S. R., Ciznicki, M., Kierzynka, M., et al. (2013). From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation. Scientific Programming, 21, 1-16. doi:10.3233/SPR-130360.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-3CC4-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-19A4-1
Genre: Journal Article

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 Creators:
Blazewicz, Marek1, Author
Hinder, Ian2, Author              
Koppelman, David M., Author
Brandt, Steven R., Author
Ciznicki, Milosz, Author
Kierzynka, Michal, Author
Löffler, Frank, Author
Schnetter, Erik, Author
Tao, Jian, Author
Affiliations:
1Poznań Supercomputing and Networking Center Poznań University of Technology, escidoc:persistent22              
2Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:24013              

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Free keywords: Physics, Computational Physics, physics.comp-ph,Computer Science, Mathematical Software, cs.MS,General Relativity and Quantum Cosmology, gr-qc
 Abstract: Starting from a high-level problem description in terms of partial differential equations using abstract tensor notation, the Chemora framework discretizes, optimizes, and generates complete high performance codes for a wide range of compute architectures. Chemora extends the capabilities of Cactus, facilitating the usage of large-scale CPU/GPU systems in an efficient manner for complex applications, without low-level code tuning. Chemora achieves parallelism through MPI and multi-threading, combining OpenMP and CUDA. Optimizations include high-level code transformations, efficient loop traversal strategies, dynamically selected data and instruction cache usage strategies, and JIT compilation of GPU code tailored to the problem characteristics. The discretization is based on higher-order finite differences on multi-block domains. Chemora's capabilities are demonstrated by simulations of black hole collisions. This problem provides an acid test of the framework, as the Einstein equations contain hundreds of variables and thousands of terms.

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 Dates: 2013-07-242013
 Publication Status: Published in print
 Pages: 18 pages, 4 figures, accepted for publication in Scientific Programming
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 Identifiers: arXiv: 1307.6488
DOI: 10.3233/SPR-130360
URI: http://arxiv.org/abs/1307.6488
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Title: Scientific Programming
Source Genre: Journal
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Pages: - Volume / Issue: 21 Sequence Number: - Start / End Page: 1 - 16 Identifier: -