O'Reilly logo

IPython Interactive Computing and Visualization Cookbook - Second Edition by Cyrille Rossant

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA

Graphics Processing Units (GPUs) are powerful processors specialized for real-time rendering. We find GPUs in virtually any computer, laptop, video game console, tablet, or smartphone. Their massively parallel architecture comprises tens to thousands of cores. The video game industry has been fostering the development of increasingly powerful GPUs over the last two decades.

Since the mid-2000s, GPUs are no longer limited to graphics processing. We can now implement scientific algorithms on a GPU. The only condition is that the algorithm follows the SIMD paradigm, where a sequence of instructions is executed in parallel with multiple data. This is called General Purpose ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required