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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Kompetenzen, die Sie erwerben
Cuda, Python Programming, Thread (Computing), C++
Aus der Unterrichtseinheit
Introduction to GPU Programming
The purpose of this module is for students to understand the principles of developing CUDA-based software.
Unterrichtet von
Chancellor Thomas Pascale
Instructor and Software Engineer
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