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Thursday, March 6 • 2:20pm - 2:40pm
Applications Session II: Hybrid CPU-GPU Finite Difference Time Domain Kernels, Thor Johnsen, Chevron

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If you are developing finite difference kernels, you’ve probably considered whether to use CPUs or GPUs. This poses you with an interesting dilemma: CPUs have larger memory capacity, but GPUs are more cost effective. Which one do you value more? This talk explores a design pattern for FDTD kernels that lets you have both, the cost efficiency of GPUs combined with the memory capacity of CPUs. We show that this approach can be used to implement any FDTD kernel, including elastic tilted orthorhombic. We further show that the elastic tilted orthorhombic kernel we implemented can propagate volumes with 10’s of billions of cells running on a single K10 GPU. We show that this kernel can be scaled up to 64 GPUs with almost linear scaling in throughput.

avatar for Simanti Das

Simanti Das

Manager, High Performance Computing Software Development & Support, ExxonMobil Technical Computing Company
Simanti Das, is currently the manager of High Performance Computing software development and support group in ExxonMobil Upstream IT organization. She is responsible for providing software development, optimization and support for massively parallel seismic imaging technologies for... Read More →


Thursday March 6, 2014 2:20pm - 2:40pm PST
BRC 282 Rice University 6500 Main Street at University, Houston, TX 77030

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