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 ...

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 ...

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 ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

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 ...

“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.

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 ...

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...