The basics of distributed computing. Any time a workload is distributed between two or more computing devices or machines connected by some type of network, that’s distributed computing. There are a ...

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

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, distributed memory ...

Each year, the Association for Computing Machinery honors a computer scientist for his or her contributions to the field. The prize, which comes with $250,000 thanks to Google and Intel, is named ...

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...

With cloud computing, HPC infrastructure can now be procured and deployed faster and at any given moment. In this track, you will gain the necessary skills in all aspects of high-performance computing ...

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 ...

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

Scaling AI Isn't A Computing Problem... Dedicated hardware, like GPUs (graphics processing units) and TPUs (tensor processing units), has become essential for training AI models.

Parallel computing has long been a stumbling block for scaling big data and AI applications (not to mention HPC), and Ray provides a simplified path forward. “There’s a huge gap between what it takes ...