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Wednesday, August 10 • 4:00pm - 5:00pm
Why do scientists and engineers need HPC skills?

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For the last few decades (including most of the careers of current practitioners in science and engineering) one could count on Moore’s Law to provide progressively more powerful individual machines. Therefore, if one’s code or problem didn’t run fast enough on today’s machine, one could count on substantially faster performance within a few years. Frequently one just had to wait a little while and new hardware would solve the problem for you. However, around 2010, clock speeds of individual CPUs stopped getting faster and they are not likely to get faster in the foreseeable future. The best option available today for solving problems faster and/or solving bigger problems is to put more computers on the problem in parallel. Parallel computing has been the domain of HPC for decades and there are many lessons and skills that can be learned that are now relevant to a much wider audience. Come to this session to discuss what those are and whether current training is providing the needed instruction.

avatar for Thomas Hauser

Thomas Hauser

Director, Research Computing, University of Colorado Boulder

Wednesday August 10, 2016 4:00pm - 5:00pm PDT
LSC 322