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...
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Introduction to Concurrent Programming with GPUs cost?
Visit the Introduction to Concurrent Programming with GPUs course page for current pricing and available discounts.
Who teaches Introduction to Concurrent Programming with GPUs?
Introduction to Concurrent Programming with GPUs is taught by Chancellor Thomas Pascale, Johns Hopkins University.
What skill level is Introduction to Concurrent Programming with GPUs for?
This course is designed for beginner learners.
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