Nvidia Puts The Accelerator To The Metal With Pascal
The revolution in GPU computing started with games, and spread to the HPC centers of the world eight years ago with the first “Fermi” Tesla accelerators from Nvidia. …
The revolution in GPU computing started with games, and spread to the HPC centers of the world eight years ago with the first “Fermi” Tesla accelerators from Nvidia. …
It is hard to find a more hyperbolic keynote title than, “A New Computing Model” but given the recent explosion in capabilities in both hardware and algorithms that have pushed deep learning to the fore, Nvidia’s CEO keynote at this morning’s GPU Technology Conference kickoff appears to be right on target. …
The new Intel Xeon processors E5 v4 product family, based upon the “Broadwell” microarchitecture, is reported to deliver up to 47%* more performance across a wide range of HPC codes. …
Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. …
Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the brain’s structure and processing ability in silicon—quickly learning and chewing on data as fast as it could be generated. …
D.E. Shaw Research, the company founded by quantitative finance pioneer, professor, and entrepreneur, David E. …
Offloading parts of the network stack from processors to specialized circuits on network adapter cards is not a new idea. …
The high end of the computing industry has always captivated us, and we still find the forces at work in the upper echelons of the datacenters of the world, and the hardware and software that is created to run the largest and most complex workloads found there, fascinating. …
There is a simple test to figure out just how seriously social network Facebook is taking machine learning, and it has nothing to do with research papers or counting cat pictures automagically with neural networks. …
IBM did not just stake the future of its Power chip and the systems business on which it depends on the OpenPower Foundation, a consortium now with 160 members after more than two years of cultivation by Big Blue and its key early partners – Google, Nvidia, Mellanox Technologies, and Tyan. …
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