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  4. Hardware/software co-design for energy-efficient seismic modeling
 
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2011
Conference Paper
Title

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

Abstract
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.
Author(s)
Krüger, Jens  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Donofrio, D.
Shalf, J.
Mohiyuddin, M.
Williams, S.
Oliker, L.
Pfreundt, F.-J.
Mainwork
Proceedings of the 2011 ACM/IEEE Conference on High Performance Computing Networking, Storage and Analysis. CD-ROM  
Conference
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2011  
Open Access
DOI
10.1145/2063384.2063482
Additional full text version
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