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San Diego Supercomputer Center Opens ‘Expanse’ to Industry Users
April 15, 2021
When San Diego Supercomputer Center (SDSC) at the University of California San Diego was getting ready to deploy its flagship Expanse supercomputer for the larg Read more…
Behind the Gordon Bell Prize-Winning Spike Protein Simulations
March 11, 2021
Four months ago, Rommie Amaro and her colleagues were accepting the first-ever Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research. Read more…
Larry Smarr: The Future of Distributed Computing Is Here
August 25, 2020
Larry Smarr may have stepped back from full-time work in the Computer Science and Engineering Department at the University of California, San Diego, but that do Read more…
Researchers Use Comet to Examine a DNA-Editing Enzyme
March 14, 2020
Genome editing stands to change the trajectory of human civilization, with massive implications for treatments of any genetic disease and potential for even bro Read more…
51,000 Cloud GPUs Converge to Power Neutrino Discovery at the South Pole
November 22, 2019
At the dead center of the South Pole, thousands of sensors spanning a cubic kilometer are buried thousands of meters beneath the ice. The sensors are part of Ic Read more…
San Diego Supercomputer Center to Welcome ‘Expanse’ Supercomputer in 2020
July 18, 2019
With a $10 million dollar award from the National Science Foundation, San Diego Supercomputer Center (SDSC) at the University of California San Diego is procuri Read more…
Combining Machine Learning and Supercomputing to Ferret out Phishing Attacks
May 23, 2019
The relentless ingenuity that drives cyber hacking is a global engine that knows no rest. Anyone with a laptop and run-of-the-mill computer smarts can buy or re Read more…
UCSD, AIST Forge Tighter Alliance with AI-Focused MOU
January 18, 2018
The rich history of collaboration between UC San Diego and AIST in Japan is getting richer. The organizations entered into a five-year memorandum of understandi Read more…
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Whitepaper
A New Standard in CAE Solutions for Manufacturing
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.
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Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
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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Sponsored by AMD
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