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Interactive, Exascale Ready, 3D Rendering Solutions Using Software Defined Visualization
Software Defined Visualization (SDVis), an open source initiative from Intel and industry collaborators, delivers breath-taking visual impact and interactivity for all scales of scientific and ph …
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SDSC Researchers Use Machine Learning to More Accurately Model Water
Water – H2O – is a simple but fascinating (and useful) compound. San Diego Supercomputing Center researchers used machine learning techniques to develop models for simulations of water with …
ADIOS: Providing A Framework for Scientific Data on Exascale Systems
The Adaptable I/O System (ADIOS) project in the ECP supports exascale applications by addressing their data management and in situ analysis needs. Led by Scott Klasky of Oak Ridge National Labora …
HPCwire's People to Watch in 2018
Click here to find out more about the luminaries, influencers and thought leaders poised to push our industry forward in the coming year!
Nvidia Claims New ResNet-50 Top Marks; Microsoft Previews Brainwave
May 8, 2018
It’s becoming tough to sort out competing AI performance claims and to keep track of new AI initiatives. Perhaps the new MLPerf benchmark will eventually hel Read more…
MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?
May 2, 2018
Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…
IBM: Software Ecosystem for OpenPOWER is Ready for Prime Time
April 16, 2018
With key pieces of the IBM/OpenPOWER versus Intel/x86 gambit settling into place – e.g., the arrival of Power9 chips and Power9-based systems, hyperscaler sup Read more…
Google Releases Improved Neural Networks for Vision Recognition
April 4, 2018
On Tuesday, Google released its “next generation of on-device computer vision networks” – MobileNewtV2 – which Google says are substantially faster than Read more…
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…
Deep Neural Network from University of Illinois Accelerates aLIGO Research
March 27, 2018
Gravitational wave astronomy burst onto the scene with the success of the original LIGO (Laser Interferometer Gravitational-Wave Observatory) effort and has sin Read more…
HPC Cloud Provider Nimbix Rolls Out IBM Power9 Targeting AI
March 22, 2018
HPC cloud specialist Nimbix this week announced the addition of IBM’s Power9 technology to the Nimbix cloud starting with an early access “gated program” Read more…
European LEGaTO Project Seeks to Develop Energy Efficient Stack
March 14, 2018
A new European project – Low Energy Toolset for Heterogeneous Computing (LEGaTO) – seeks to develop a software stack that improves energy management in supp Read more…
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Strategies for the Spectrum of Cloud Adoptions
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Sponsored by Microsoft
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Adaptive Flexibility is the Future of Supercomputing – The Arm advantage for HPC workloads
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
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HPC Goes Mainstream
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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