The University provides more than half of the resources for the National Science Foundation’s national research cyberinfrastructure ecosystem — a system allowing researchers nationwide to utilize the ...

Rayadurgam Srikant will serve as the new director of the National Center for Supercomputing Applications. Srikant succeeded previous director Bill Gropp and began his duties Jan. 1. Srikant is a ...

The National Science Foundation is making a major investment to build a new Leadership-Class Computing Facility (LCCF) facility The supercomputing center will be led by the Texas Advanced Computing ...

Nvidia Corp. today detailed how its chips are accelerating innovation in the high-performance computing industry for artificial intelligence-powered systems that will power scientific advances with ...

For the past two years now, we have been picking apart the semi-annual rankings of supercomputers known as the Top500 is a different way, focusing on the new machines that come into each list in ...

Georgia Tech and its research partners have received a $20 million grant from the National Science Foundation (NSF) to build an AI-centered supercomputer that will support researchers nationwide, the ...

BEIJING--(BUSINESS WIRE)--On January 4th, the inaugural ceremony for the 2024 ASC Student Supercomputer Challenge (ASC24) unfolded in Beijing. With a global interest, ASC24 has garnered the ...

The national supercomputing centers in the United States, Europe, and China are not only rich enough to build very powerful machines, but they are rich enough, thanks to their national governments, to ...

NVIDIA has this month introduced Eos, a new supercomputer that has quickly secured a spot among the world’s fastest machines. This technological marvel is engineered to handle the most demanding ...

Super Cloud: The Fugaku supercomputer was at the forefront of high-performance computing development just a few years ago. Now, the Japanese technology has been turned into a software stack that could ...

Nvidia thinks it's time for traditional CPUs to step aside when it comes to tackling the largest machine learning tasks, especially training huge models that are now upwards of a trillion parameters.