Introduction to Parallel Programming with CUDA
By Coursera
on Coursera
· Technology
About This Course
This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will focus on the hardware and software capabilities, including the use of 100s to 1000s of threads and various forms of memory.
Instructor
Chancellor Thomas Pascale
Frequently Asked Questions
How much does Introduction to Parallel Programming with CUDA cost?
Visit the Introduction to Parallel Programming with CUDA course page for current pricing and available discounts.
Who teaches Introduction to Parallel Programming with CUDA?
Introduction to Parallel Programming with CUDA is taught by Chancellor Thomas Pascale, Johns Hopkins University.
What skill level is Introduction to Parallel Programming with CUDA for?
This course is designed for beginner learners.