Scalable Parallel Programming with CUDA on Manycore GPUs
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Uploaded by StanfordUniversity on Jul 1, 2008
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:
http://www.stanford.edu/class/ee380/
Stanford Computer Systems Laboratory:
http://csl.stanford.edu/
Stanford Center for Professional Development:
http://scpd.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanforduniversity
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very interesting.. nice video...
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nice one! thanks for this video!
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excellent!
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loud voice. very clear presentation.
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too long but very interesting!
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I wanna learn how these stuff works
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@mszigetihu check out the videos through itunes -- much higher resolution.
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how many transistors has one core in gpu ?
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Seriously, Standford can't buy a fucking camera with higher resolution? This is unwatchable in full screen, you can't read the stuff.
mszigetihu 1 year ago 15
this is an hour long :o
lol8720 2 years ago 15