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 of ...

Parallel computing for differential equations has emerged as a critical field in computational science, enabling the efficient simulation of complex physical systems governed by ordinary and partial ...

Development tools for parallel computer systems tend to be architecture-specific, difficult to integrate and fairly basic. Parallel application developers often find themselves juggling tools to match ...

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

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a slew ...

When Calvin computer science professor Joel Adams launched Calvin’s first parallel computing course in the late 90s, the field was “an esoteric elective kind of thing.” Supercomputers, the main ...

We take a look back at the progress made in parallel computing with James Reinders, Parallel Programming Models Architect at Intel, who also shares his thoughts on how developers can get involved ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...