Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Heterogeneous Computing, Software Defined Networking, Machine Learning, High Performance Networking, Parallel and Distributed Processing, Embedded Systems. Data analytics with machine learning, ...

Dr. M. Mustafa Rafique is a faculty in the Department of Computer Science at the Rochester Institute of Technology (RIT). He has more than fifteen years of professional and research experience ...

Microsoft's new set of libraries promises to help developers exploit multicore processing without requiring anyone to become a threading and distributed computing guru. The hardware you’re deploying ...

Microsoft execs haven't been beating the parallel-computing drum as loudly as they were a year or two ago, but that doesn't mean nothing is happening in this space. Late last month, Microsoft made ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

With a fresh $100 million in the bank and $1 billion valuation, UC Berkeley’s RISELab alum Anyscale is now set to scale up its business as the latest data unicorn. The company also announced the ...

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate ...