CUDA at Scale for the Enterprise

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

• S​tudents will learn to develop software that can be run in computational environments that include multiple CPUs and GPUs.
• S​tudents will develop software that uses CUDA to create interactive GPU computational processing kernels for handling asynchronous data.
• Students will use CUDA, hardware memory capabilities, and algorithms/libraries to solve programming challenges including image processing.