Nvidia and VMware are bringing together the new Nvidia AI Enterprise software tool suite with VMware’s latest vSphere 7 Update 2 virtualization platform to make it easier for enterprises to vir …
As IBM continues its massive pivot to the cloud, its Power-microprocessor-based products are being mainstreamed and realigned with the corporate-wide strategy. HPC, while not out, is being de-emp …
• SC Conference Chair Candace Culhane
• TACC’s Vision for Leadership Computing
• Talking Carbon-free HPC with Lancium
• Frontier: From Exasperation to Exascale
October 17, 2019
How can artificial intelligence (AI) and high-performance computing (HPC) solve mesh generation, one of the most commonly referenced problems in computational engineering? A new study has set out to answer this question and create an industry-first AI-mesh application... Read more…
October 1, 2019
DARPA will seek to unclog the networking bottlenecks that are hindering wider use of powerful hardware in computing-intensive applications. The Pentagon research agency has unveiled another in a series of post-Moore’s Law computing initiatives... Read more…
September 3, 2019
The SC19 Invited Talks will be held over three days starting on Nov. 19 through Nov. 21, 2019, in Denver, Colorado. Read more…
February 21, 2019
For the past few years HPCwire and leaders of BioTeam, a research computing consultancy specializing in life sciences, have convened to examine the state of HPC (and now AI) use in life sciences. Without HPC writ large, modern life sciences research would quickly grind to a halt. It’s true most life sciences research computing... Read more…
November 1, 2018
You may recall at SC15 an Intel-led group introduced OpenHPC – an effort to build a community project around an open source, plug-and-play HPC stack. One goal Read more…
November 1, 2017
Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That wa Read more…
September 12, 2017
Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…
February 22, 2017
Just what constitutes HPC and how best to support it is a keen topic currently. A new paper posted last week on arXiv.org – Rethinking HPC Platforms: Challeng Read more…
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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