GitHub Resources for Portable CUDA Code

For developers, GitHub is a great resource, in more ways that one. My niece was recently contacted by Google recruiters based on information they found in her public GitHub profile. If you want to attract the eye of NVIDIA recruiters, you might try posting your own CUDA code on GitHub. Here is a great GitHub gem I recently ran across, Hemi, a set of utilities that simplifies writing portable CUDA code. Check out the Hemi readme for more info.

As another bonus to dedicated weekend readers of my blog, be the first to email me with a description of the Hemi logo and I’ll send you a 50% off discount code for the upcoming GPU Technology Conference.

About Marc Hamilton

Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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