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Learn GPU Programming from these universities for free

Stanford CS149 – Parallel Computing
https://gfxcourses.stanford.edu/cs149/

Carnegie Mellon 15-418/15-618 – Parallel Computer Architecture & Programming
https://cs.cmu.edu/~418/

California Institute of Technology CS179 – GPU Programming
https://courses.cms.caltech.edu/cs179/

University of Illinois ECE 408 – Applied Parallel Programming (CUDA)
https://courses.grainger.illinois.edu/ece408/

University of Pennsylvania CIS 5650 – GPU Programming & Architecture
https://seas.upenn.edu/~cis5650/

NVIDIA CUDA Education & Training
https://developer.nvidia.com/educational-reLearn GPU Programming from these universities for free

Stanford CS149 – Parallel Computing
https://gfxcourses.stanford.edu/cs149/

Carnegie Mellon 15-418/15-618 – Parallel Computer Architecture & Programming
https://cs.cmu.edu/~418/

California Institute of Technology CS179 – GPU Programming
https://courses.cms.caltech.edu/cs179/

University of Illinois ECE 408 – Applied Parallel Programming (CUDA)
https://courses.grainger.illinois.edu/ece408/

University of Pennsylvania CIS 5650 – GPU Programming & Architecture
https://seas.upenn.edu/~cis5650/

#cuda #gpu #learning
Forwarded from Programming Deadlock
optimizing_assembly.pdf
1 MB
Optimizing subroutines in assembly language: An optimization guide for x86 platforms
https://www.agner.org/optimize/optimizing_assembly.pdf