You're currently following this author! Click to unsubscribe from email alerts. At a data-science conference in midtown Manhattan early this month, the Nvidia exhibitor table had a constant swarm of ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

In the early 1980s, when I was teaching and doing research at Yale’s computer science department and School of Management, my colleagues and I dreamed about the great promises of artificial ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

“My background is in engineering – I studied civil engineering and began my career working at architecture and engineering firms. In those roles, I became a go-to person for modeling and simulation.

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

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 ...

Parallel computer processing is used for big data, analytics, artificial intelligence and even processors on desktops and laptops. It’s not really new. The first parallel processing projects began in ...

The chips in most modern desktop computers have four "cores," or processing units, which can run different computational tasks in parallel. But the chips of the future could have dozens or even ...