EPISODE · Sep 15, 2017 · 10 MIN
An Introduction to GPU Programming with CUDA
from Siraj Raval
If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the popular deep learning frameworks, but knowing how it works is really useful. CUDA is the most popular of the GPU frameworks so we're going to add two arrays together, then optimize that process using it. I love CUDA! Code for this video: https://github.com/llSourcell/An_Introduction_to_GPU_Programming Alberto's Winning Code: https://github.com/alberduris/SirajsCodingChallenges/tree/master/Stock%20Market%20Prediction Hutauf's runner-up code: https://github.com/hutauf/Stock_Market_Prediction Please Subscribe! And like. And comment. That's what keeps me going. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: http://supercomputingblog.com/cuda-tutorials/ http://www.nvidia.com/docs/IO/116711/sc11-cuda-c-basics.pdf https://devblogs.nvidia.com/parallelforall/even-easier-introduction-cuda/ https://developer.nvidia.com/cuda-education-training https://llpanorama.wordpress.com/cuda-tutorial/ https://www.udacity.com/course/intro-to-parallel-programming--cs344 http://lorenabarba.com/gpuatbu/Program_files/Cruz_gpuComputing09.pdf http://cuda-programming.blogspot.nl/p/tutorial.html https://www.cc.gatech.edu/~vetter/keeneland/tutorial-2011-04-14/02-cuda-overview.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ No, Nvidia did not pay me to make this video lol. I just love CUDA. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/
What this episode covers
If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the popular deep learning frameworks, but knowing how it works is really useful. CUDA is the most popular of the GPU frameworks so we're going to add two arrays together, then optimize that process using it. I love CUDA! Code for this video: https://github.com/llSourcell/An_Introduction_to_GPU_Programming Alberto's Winning Code: https://github.com/alberduris/SirajsCodingChallenges/tree/master/Stock%20Market%20Prediction Hutauf's runner-up code: https://github.com/hutauf/Stock_Market_Prediction Please Subscribe! And like. And comment. That's what keeps me going. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: http://supercomputingblog.com/cuda-tutorials/ http://www.nvidia.com/docs/IO/116711/sc11-cuda-c-basics.pdf https://devblogs.nvidia.com/parallelforall/even-easier-introduction-cuda/ https://developer.nvidia.com/cuda-education-training https://llpanorama.wordpress.com/cuda-tutorial/ https://www.udacity.com/course/intro-to-parallel-programming--cs344 http://lorenabarba.com/gpuatbu/Program_files/Cruz_gpuComputing09.pdf http://cuda-programming.blogspot.nl/p/tutorial.html https://www.cc.gatech.edu/~vetter/keeneland/tutorial-2011-04-14/02-cuda-overview.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ No, Nvidia did not pay me to make this video lol. I just love CUDA. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/
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An Introduction to GPU Programming with CUDA
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