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IBM Research Spins Up 11,400 Core Cloud Cluster for EDA
August 5, 2021
For many HPC users, their needs are not evenly distributed throughout a year: some might need few – if any – resources for months, then they might need a ve Read more…
IBM Research Debuts 2nm Test Chip with 50 Billion Transistors
May 6, 2021
IBM Research today announced the successful prototyping of the world's first 2 nanometer chip, fabricated with silicon nanosheet technology on a standard 300mm Read more…
Think Big: IBM Shows Ambitious Roadmap for Quantum Computing Ecosystem
February 4, 2021
IBM today laid out a more detailed roadmap for bringing quantum computing to practical usefulness. Last fall, IBM spelled out its hardware plans. Today, it spelled out its software ecosystem plans including, among other things, new tools and cloud initiatives. Perhaps wisely, IBM... Read more…
IBM Unveils Latest Achievements in AI Hardware
December 13, 2019
“The increased capabilities of contemporary AI models provide unprecedented recognition accuracy, but often at the expense of larger computational and energet Read more…
IBM’s AI Helps to Unearth Hidden Nasca Lines
November 25, 2019
The Nasca Lines, a group of giant, mysterious designs in the earth in southern Peru that date back thousands of years, have mystified explorers and researchers Read more…
Crystal Ball Gazing: IBM’s Vision for the Future of Computing
October 14, 2019
Dario Gil, IBM’s relatively new director of research, painted a intriguing portrait of the future of computing along with a rough idea of how IBM thinks we’ Read more…
Researchers Write/Read Bits using Single Atoms
March 15, 2017
While commercial application isn’t imminent researchers have successfully scaled storage down to the classical limit of a single atom according to work report Read more…
IBM Phase Change Device Shows Promise for Emerging AI Apps
August 3, 2016
IBM Research today announced a significant advance in phase-change memristive technology – based on chalcogenide-based phase-change materials – that IBM say 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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