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Introduction to Concurrent Programming with GPUs
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 |
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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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