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Podcast: CUDA Programming for GPUs

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Mark Harris, Chief Technologist for GPU Computing at Nvidia

Mark Harris, Chief Technologist for GPU Computing at Nvidia

In this Programming Throwdown podcast, Mark Harris from Nvidia describes CUDA programming for GPUs.

CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA.”

Mark Harris is Chief Technologist for GPU Computing Software at Nvidia. Mark has fifteen years of experience developing software for GPUs, ranging from graphics and games, to physically-based simulation, to parallel algorithms and high-performance computing. Mark has been using GPUs for general-purpose computing since before they even supported floating point arithmetic. While a Ph.D. student at UNC he recognized this nascent trend and coined a name for it: GPGPU (General-Purpose computing on Graphics Processing Units), and started GPGPU.org to provide a forum for those working in the field to share and discuss their work.

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