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Learner Reviews & Feedback for CUDA at Scale for the Enterprise by Johns Hopkins University

About the Course

This course will aid in students in learning in concepts that scale the use of GPUs and the CPUs that manage their use beyond the most common consumer-grade GPU installations. They will learn how to manage asynchronous workflows, sending and receiving events to encapsulate data transfers and control signals. Also, students will walk through application of GPUs to sorting of data and processing images, implementing their own software using these techniques and libraries. By the end of the course, you will be able to do the following: - Develop software that can use multiple CPUs and GPUs - Develop software that uses CUDA’s events and streams capability to create asynchronous workflows - Use the CUDA computational model to to solve canonical programming challenges including data sorting and image processing To be successful in this course, you should have an understanding of parallel programming and experience programming in C/C++. This course will be extremely applicable to software developers and data scientists working in the fields of high performance computing, data processing, and machine learning....
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1 - 1 of 1 Reviews for CUDA at Scale for the Enterprise

By Roman G

Nov 30, 2022

There are some inaccuracy in quizes. Lab works contain things to fix that aren't related to the GPU/CUDA so it distracts from the main course. But from the other side it gives you the feeling of the real world development process, when you can spend an hour searching for freaking space symbol forgotten by your colleague in a wrong place

I'd be glad to see more strict tests in practice jobs. I mean that the grader should check runtime of the code instead of the runtime artifacts

In general I'm satisfied with the course: I got new and refreshed old knowledge in the field of CUDA programming