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 8 t h 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 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 efficiency improvement per node respectively, compared with the Nehalem and GPU platforms. These results point to the enormous potential energy advantages of our hardware/software co-design methodology.
In REF , Krueger et al. compare the energy efficiency of a CPU and a GPU implementation of a seismic modeling application against a general-purpose manycore chip design called "Green Wave," that is optimized for high-order wave equations.
Hardware/software co-design for energy-efficient seismic modeling
2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
Computer Science