This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.
Code Syntax for Determining Target Environment Video
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Skills You'll Learn
Cuda, Python Programming, Thread (Computing), C++
From the lesson
Introduction to GPU Programming
The purpose of this module is for students to understand the principles of developing CUDA-based software.
Taught By
Chancellor Thomas Pascale
Instructor and Software Engineer
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