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
Development Environment, Algorithms, C and C++, System Programming, Software Development, Computer Programming, Computer Architecture, Computer Hardware, Debugging, Python Programming
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