As performance and functionality requirements of interdisciplinary computing applications rise, industry demand for new graduates familiar with accelerated computing with GPUs grows. In the future, many mass-market applications will be what are considered "supercomputing applications" as per today's standards. This hands-on tutorial introduces a comprehensive set of academic labs and university teaching material for use in introductory and advanced parallel programming courses. The teaching materials start with the basics and focus on programming GPUs, and include advanced topics such as optimization, advanced architectural enhancements, and integration of a variety of programming languages.
INTENDED AUDIENCE LEVEL: Intermediate PRE-REQUISITES: Laptop to participate in hands-on aspect
