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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
AI Gives Financial Services Firms an Edge
For Financial Services firms, AI technology is increasingly a must-have for the growing digital economy. Firms of all types are increasing AI’s use to further improve productivity and to increa …
HPC and AI at the Forefront of Finance
You’ve heard this one before: HPC has the potential to transcend science and engineering to transform commercial applications in the enterprise. Won’t it be grand when HPC is no longer the ex …
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!
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…
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…
At HPC on Wall Street: AI-as-a-Service Accelerates AI Journeys
September 10, 2018
AIaaS – artificial intelligence-as-a-service – is the technology discipline that eases enterprise entry into the mysteries of the AI journey while lowering Read more…
HPC on Wall Street: A Conference on Advanced Technology Strategies in the Financial Services Industry
September 6, 2018
Few industries are more avid for low latency, compute power and high performance data analytics (HPDA) than the financial services sector. The investment banks, Read more…
Weathering the Next ‘Great’ Storm in the Market
September 1, 2018
This is not an article about the joys and wonders of machine learning or big data. Instead, this article is about a pernicious, unsolved problem in investment f Read more…
Report: Financial Services Sector in $14B Analytics Binge
September 1, 2018
The phrase “big data” has come to mean different things to different people, morphing from the huge data volumes too big for traditional databases to handle Read more…
AMD’s EPYC Road to Redemption in Six Slides
June 21, 2018
A year ago AMD returned to the server market with its EPYC processor line. The earth didn’t tremble but folks took notice. People remember the Opteron fondly Read more…
Nimbix Expands JARVICE and Releases it as Independent Software Product
June 5, 2018
HPC cloud pioneer Nimbix today announced the expansion and upgrade of its proprietary software platform – JARVICE 3.0 – for use by Nimbix users as well as t 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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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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