Krüger, JensJensKrügerDonofrio, D.D.DonofrioShalf, J.J.ShalfMohiyuddin, M.M.MohiyuddinWilliams, S.S.WilliamsOliker, L.L.OlikerPfreundt, F.-J.F.-J.Pfreundt2022-03-112024-09-192022-03-112011https://publica.fraunhofer.de/handle/publica/37457410.1145/2063384.2063482Reverse 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.enconference paper