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Content Provider | ACM Digital Library |
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Author | Fuhrer, Oliver Osuna, Carlos Gysi, Tobias Bianco, Mauro Schulthess, Thomas C. |
Abstract | Many high-performance computing applications solving partial differential equations (PDEs) can be attributed to the class of kernels using stencils on structured grids. Due to the disparity between floating point operation throughput and main memory bandwidth these codes typically achieve only a low fraction of peak performance. Unfortunately, stencil computation optimization techniques are often hardware dependent and lead to a significant increase in code complexity. We present a domain-specific tool, STELLA, which eases the burden of the application developer by separating the architecture dependent implementation strategy from the user-code and is targeted at multi- and manycore processors. On the example of a numerical weather prediction and regional climate model (COSMO) we demonstrate the usefulness of STELLA for a real-world production code. The dynamical core based on STELLA achieves a speedup factor of 1.8x (CPU) and 5.8x (GPU) with respect to the legacy code while reducing the complexity of the user code. |
Starting Page | 1 |
Ending Page | 12 |
Page Count | 12 |
File Format | |
ISBN | 9781450337236 |
DOI | 10.1145/2807591.2807627 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2015-11-15 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Domain-specific language Atmospheric model Stencil Heterogeneous system |
Content Type | Text |
Resource Type | Article |
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