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 ...

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 ...

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 ...

Parallel computing is an idea whose time has finally come, but not for the obvious reasons. Parallelism is a computer science concept that is older Moore’s Law. In fact, it first appeared in print in ...

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 ...

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 ...

Few technologies have a more interesting history than parallel computing, in which multiple processors in a single system combine to tackle a problem. A chronicle of events in parallel computing says ...

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 ...

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When I wrote about password guessing using GPUs last week, I mentioned that password guessing is an embarrassingly parallel problem, right up there with 3-D rendering, face recognition, Monte Carlo ...