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Hardware/software co-design for energy-efficient seismic modeling

: Krueger, J.; Donofrio, D.; Shalf, J.; Mohiyuddin, M.; Williams, S.; Oliker, L.; Pfreundt, F.-J.


Association for Computing Machinery -ACM-, Special Interest Group on Computer Architecture -SIGARCH-; IEEE Computer Society:
Proceedings of the 2011 ACM/IEEE Conference on High Performance Computing Networking, Storage and Analysis. CD-ROM : November 12 - 18, 2011, Seattle
New York: ACM, 2011
ISBN: 978-1-450-30771-0
Art. 73
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) <2011, Seattle>
Conference Paper
Fraunhofer ITWM ()

Reverse Time Migration (RTM) has become the standard for high-quality imaging in the seismic industry. RTM relies on PDE solutions using stencils that are 8th order or larger, which require large-scale HPC clusters to meet the computational demands. However, the rising power con- sumption of conventional cluster technology has prompted investigation of architectural alternatives that other higher computational efficiency. In this work, we compare the performance and energy efficiency of three architectural alternatives - the Intel Nehalem X5530 multicore processor, the NVIDIA Tesla C2050 GPU, and a general-purpose manycore chip design optimized for high-order wave equations called "Green Wave". We have developed an FPGA-accelerated architectural simulation platform to accurately model the power and performance of the Green Wave design. Results show that across highly-tuned high-order RTM stencils, the Green Wave implementation can offer up to 8× and 3.5× energy efficien cy improvement per node respectively, com- pared with the Nehalem and GPU platforms. These results point to the enormous potential energy advantages of our hardware/software co-design methodology.