parallel computing

Illinois history in parallel computing stretches more than 40 years.

However, in parallel computing, this approach has a serious drawback.

His trick, he says, is to use parallel computing, in which many computers are set to work on the problem at once.

He is one of the world's leading experts on parallel computing and large-scale system design.

Its purpose is to facilitate developing programs for parallel computing.

Evolution@Home is the first parallel computing project for evolutionary biology.

This area of research is known as parallel computing.

However, despite this agreement on the need for parallel computing, many open issues about these techniques still exist.

Bailey also does research in numerical analysis and parallel computing.

That pioneering work became the basis for much of today's commercial parallel computing software.

They have also been proposed as a network topology in parallel computing.

Still, the sales of smaller, less costly parallel computing machines are growing rapidly.

Furthermore, it provides expertise in parallel computing and computer architecture to other research groups.

It was introduced by for use as a network topology in parallel computing.

In parallel computing, a barrier is a type of synchronization method.

Common types of problems found in parallel computing applications are:

"It is also an indication of the importance of parallel computing in the future."

The fronts can be worked on by different processors, which enables parallel computing.

"It's that waste which is parallel computing's foot in the door to the commercial establishment.

As if that weren't enough, Valiant has contributed to distributed and parallel computing.

"We're in the middle of a revolutionary change toward parallel computing that will absolutely involve both hardware and software."

Uzi Vishkin is known for his work in the field of parallel computing.

Many of the optimization techniques are adaptable to parallel computing.

The expectation was that a software programming model for parallel computing could draw in customers.

How can massively parallel computing resources accelerate our understanding of brain function?