February 27, 2008 lecture by John Nickolls for the Stanford University Computer Systems Colloquium (EE 380).
John Nickolls from NVIDIA talks about scalable parallel programming with a new language developed by NVIDIA, CUDA. NVIDIA's programming of their graphics processing unit in parallel allows for the dissection of large data sets into smaller sets, each to be handled by separate processors. This significantly increases the performance and handling of processing intensive application.
EE 380 | Computer Systems Colloquium:
Stanford Computer Systems Laboratory:
Stanford Center for Professional Development:
Stanford University Channel on YouTube:
Tagged under: Computer,science,software,engineering,programming,technology,semiconductor,processor,parallel,hardware,graphics,video,memory,threads,computation
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