
High Performance Scientific Computing with C 4.4: GPGPU with CUDA
Interactive Video
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Information Technology (IT), Architecture
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University
•
Hard
Wayground Content
FREE Resource
The video tutorial explores the use of Nvidia's Cuda Library to accelerate code execution by leveraging GPU capabilities. It demonstrates how to modify C code to utilize Cuda, compile both serial and Cuda versions, and compare their performance. The tutorial also covers optimizing Cuda performance by adjusting threadpool sizes and concludes with a summary of the course's key learnings.
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