You may be surprised how ready Python is for heterogeneous programming, and how easy it is to use today. Our first three articles about heterogeneous programming focused primarily on C++ as we po …
Imagine some years hence the HPC landscape, already confusing in its heterogeneity, also includes quantum computing resources. How does a user choose from among those resources the best workflow …
AI • Cloud • Infrastructure
Quantum Computing • Edge
Data Management • Security
June 1, 2022
For a change, said Thomas Sterling, long-time ISC keynoter and HPC pioneer, picking a theme for his 2022 talk wasn’t a challenge. “What is the word you need that everyone will remember and agree to about a particular year? This was easy. It's exaflops. I mean real exaflops, you know, the kind you can get your teeth into exaflops, not words like exascale or low-precision exaflops, or 'we know what an exaflops is, right... Read more…
May 30, 2022
While echoes of the pandemic continue rippling through the HPC landscape – primarily lingering supply chain issues – the outlook for the HPC market writ large is strong, according to Hyperion Research, which delivered its ISC 2022 HPC market update today. Last year, HPC spending (on premise, cloud, and AI) neared $35 billion and is on track to reach... Read more…
May 30, 2022
During a special address at ISC today, general manager and vice president of Accelerated Computing at Nvidia, Ian Buck, shared promising news for the future of Read more…
May 30, 2022
The 59th installment of the Top500 list, issued today from ISC 2022 in Hamburg, Germany, officially marks a new era in supercomputing with the debut of the first-ever exascale system on the list. Frontier, deployed at the Department of Energy’s Oak Ridge National Laboratory, achieved 1.102 exaflops in its fastest High Performance Linpack run, which was completed... Read more…
May 30, 2022
In April 2018, the U.S. Department of Energy announced plans to procure a trio of exascale supercomputers at a total cost of up to $1.8 billion dollars. Over the ensuing four years, many announcements were made, many deadlines were missed, and a pandemic threw the world into disarray. Now, at long last, HPE and Oak Ridge National Laboratory (ORNL) have announced that the first of those... Read more…
May 19, 2022
There are, of course, a myriad of ideas regarding computing’s future. At yesterday’s Argonne National Laboratory’s Director’s Special Colloquium, The Future of Computing, guest speaker Sadasivan Shankar, did his best to convince the audience that the high-energy cost of the current computing paradigm – not (just) economic cost; we’re talking entropy here – is fundamentally undermining computing’s progress such that... Read more…
May 17, 2022
That supercomputers produce impactful, lasting value is a basic tenet among the HPC community. To make the point more formally, Hyperion Research has issued a n Read more…
May 6, 2022
More than 90 percent of plastic remains unrecycled, and as a result, billions of tons of plastic reside in landfills (or worse, in natural environments) around Read more…
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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