FDTD multi-GPU implementation of Maxwell's equations in dispersive media

Mohammad R. Zunoubi; Jason Payne; Michael Knight

doi:10.1117/12.875528

18 February 2011 FDTD multi-GPU implementation of Maxwell's equations in dispersive media

Mohammad R. Zunoubi, Jason Payne, Michael Knight

Proceedings Volume 7897, Optical Interactions with Tissue and Cells XXII; 78971S (2011) https://doi.org/10.1117/12.875528
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

In this research, we present the first multi-GPU FDTD implementation of Maxwell's equations in dispersive media that uses the Open-MP API to synchronize the operation of GPUs and their corresponding CPUs. By taking advantage of the CUDA programming model, we present a unique implementation of the FDTD scheme that exploits the memory hierarchy of GPUs, including the global, texture, and shared memory. This enables us to tackle problems that are otherwise computationally prohibitive. Practical results will be presented along with a measure of speedup factors achieved when using multiple GPU processors.

Citation Download Citation

Mohammad R. Zunoubi, Jason Payne, and Michael Knight "FDTD multi-GPU implementation of Maxwell's equations in dispersive media", Proc. SPIE 7897, Optical Interactions with Tissue and Cells XXII, 78971S (18 February 2011); https://doi.org/10.1117/12.875528

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