COURSE COORDINATOR: COURSE GOALS: To provide an introduction to the field of parallel computing. The goals are to provide an overview of the three basic types of parallel computing: shared memory, ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures (shared memory, distributed memory, CPU vs. GPU, multicore vs. multiprocessor), ...

This course is structured to train students to reason about the design and implementation of efficient parallel programs. The focus areas of the class will be on the modeling, implementation and ...

Course TopicsR is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing ...

The XSEDE project and the University of California, Berkeley are offering an online course on parallel computing for graduate students and advanced undergraduates. The course includes online video ...