GTC18 Research Highlight: Programming a Hybrid CPU-GPU Cluster Using Unicorn

March 27, 2018

Unicorn is a parallel programming framework that provides a simple way to program multi-node clusters with CPUs and GPUs, and potentially other compute devices. Read more…

By Subodh Kumar, IIT Delhi

Nvidia Ups Hardware Game with 16-GPU DGX-2 Server and 18-Port NVSwitch

March 27, 2018

Nvidia unveiled a raft of new products from its annual technology conference in San Jose today, and despite not offering up a new chip architecture, there were still a few surprises in store for HPC hardware aficionados. Read more…

By Tiffany Trader

Nvidia Riding High as GPU Workloads and Capabilities Soar

March 27, 2018

Don’t look now, but GPUs are gobbling up big workloads as massive data-crunching AI use cases proliferate around the world. That news couldn’t be sweeter fo Read more…

By Alex Woodie

The @hpcnotes Predictions for HPC in 2018

January 4, 2018

I’m not averse to making predictions about the world of High Performance Computing (and Supercomputing, Cloud, etc.) in person at conferences, meetings, causa Read more…

By Andrew Jones

V100 Good but not Great on Select Deep Learning Aps, Says Xcelerit

November 27, 2017

Wringing optimum performance from hardware to accelerate deep learning applications is a challenge that often depends on the specific application in use. A benc Read more…

By John Russell

Nvidia Focuses Its Cloud Containers on HPC Applications

November 14, 2017

Having migrated its top-of-the-line datacenter GPU to the largest cloud vendors, Nvidia is touting its Volta architecture for a range of scientific computing ta Read more…

By George Leopold

Intel, AMD Moves Rattle GPU Market

November 10, 2017

Intel Corp. has lured away the former head of AMD's graphics business as the world's largest chipmaker forms a high-end graphics unit to compete with GPU market Read more…

By George Leopold

Nvidia Charts AI Inroads, Inference Challenge at DC Event

November 2, 2017

As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a Read more…

By George Leopold

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