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Introduction to Concurrent Programming with GPUs

GPU Programming,

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.
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Rating Not enough ratings
Length 6 weeks
Effort 5 weeks of study, 3-5 hours/week
Starts Jun 26 (47 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Chancellor Thomas Pascale
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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Rating Not enough ratings
Length 6 weeks
Effort 5 weeks of study, 3-5 hours/week
Starts Jun 26 (47 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Chancellor Thomas Pascale
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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