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Unleashing the Power of OpenFOAM for CFD
OpenFOAM offers widely used open-source tools for computational fluid dynamics, but scalability can be a challenge. Research indicates that Intel® processors may help users scale up their OpenFO …
Sponsored Content by Dell EMC
SyLabs Releases Singularity 3.0 Container Platform; Cites AI Support
SyLabs today introduced Singularity version 3.0 of its container software platform targeting HPC and advanced enterprise workloads. The latest release provides access to an expanded suite of reso …
UK Met Office Deploys Cray AI/Analytics to Enhance Forecasting
Already home to three Cray XC40 systems (the last one deployed in 2016), the Met Office, a leading weather center in the U.K., has now added Cray’s Urika-XC suite of AI and analytics tools acco …
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!
Migration Tools Needed to Shift ML to Production
September 20, 2018
The confluence of accelerators like cloud GPUs along with the ability to handle data-rich HPC workloads will help push more machine learning projects into produ Read more…
Google Releases Machine Learning “What-If” Analysis Tool
September 12, 2018
Training machine learning models has long been time-consuming process. Yesterday, Google released a “What-If Tool” for probing how data point changes affect a model’s prediction. The new tool is being launched as a new feature of the open source TensorBoard web application... Read more…
Rigetti (and Others) Pursuit of Quantum Advantage
September 11, 2018
Remember ‘quantum supremacy’, the much-touted but little-loved idea that the age of quantum computing would be signaled when quantum computers could tackle Read more…
Update from Gregory Kurtzer on Singularity’s Push into FS and the Enterprise
September 11, 2018
Container technology is hardly new but it has undergone rapid evolution in the HPC space in recent years to accommodate traditional science workloads and HPC systems requirements. While Docker containers continue to dominate in the enterprise, other variants are becoming important and one alternative with distinctly HPC roots – Singularity – is making an enterprise push targeting advanced scale workload inclusive of HPC. Read more…
Azure Expands Access to CycleCloud; Adds Support for Nvidia Containers
August 29, 2018
Microsoft Azure continued to beef up support for HPC and advanced scale workloads today announcing general availability of CycleCloud – its HPC cloud orchestr Read more…
Exascale Update from ECP Director Doug Kothe
August 22, 2018
Roughly a year ago Doug Kothe was appointed director of the U.S. Exascale Computing Project. He stepped in for ECP founding director Paul Messina who returned t Read more…
STAQ(ing) the Quantum Computing Deck
August 16, 2018
Quantum computers – at least for now – remain noisy. That’s another way of saying unreliable and in diverse ways that often depend on the specific quantum Read more…
SLATE Update: Making Math Libraries Exascale-ready
August 9, 2018
Practically-speaking, achieving exascale computing requires enabling HPC software to effectively use accelerators – mostly GPUs at present – and that remain 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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Sponsored by Cray
Whitepaper:
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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