SCHEDULE: NOV 12-18, 2011

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Hardware, Software Co-design for Energy Efficient Seismic Modeling

SESSION: Applications

EVENT TYPE: Paper

TIME: 4:00PM - 4:30PM

AUTHOR(S):Jens Krueger, David Donofrio, John Shalf, Samuel Williams, Leonid Oliker, Marghoob Mohiyuddin, Franz-Josef Pfreundt

ROOM:TCC 304

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 consumption of conventional cluster technology has prompted investigation of architectural alternatives that offer 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 manycore chip design 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 higher order RTM stencils, co-designed Green Wave implementation can offer up to 3.5x and 10x node power efficiency improvement compared with the GPU and Nehalem platforms.

Chair/Author Details:

Jens Krueger - Fraunhofer ITWM

David Donofrio - Lawrence Berkeley National Laboratory

John Shalf - Lawrence Berkeley National Laboratory

Samuel Williams - Lawrence Berkeley National Laboratory

Leonid Oliker - Lawrence Berkeley National Laboratory

Marghoob Mohiyuddin - UC Berkeley

Franz-Josef Pfreundt - Fraunhofer ITWM

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The full paper can be found in the ACM Digital Library