The are many issues in quantum computing today – among the more pressing are benchmarking, networking and development of hybrid classical-quantum approaches. For example, will quantum networkin …
Fresh from finalizing its acquisitions of FPGA provider Xilinx (Feb. 2022) and DPU provider Pensando (May 2022) ), AMD previewed what it calls a 400 Gig Adaptive smartNIC SOC yesterday at Hot Ch …
• SC Conference Chair Candace Culhane
• TACC’s Vision for Leadership Computing
• Talking Carbon-free HPC with Lancium
• Frontier: From Exasperation to Exascale
July 22, 2022
John Towns, principal investigator of the Extreme Science and Engineering Discovery Environment (XSEDE), gave an overview of the soon-to-complete NSF-funded cyb Read more…
May 24, 2022
Durham University’s Institute for Computational Cosmology (ICC) is home to the COSMA series of supercomputers (short for “cosmological machine”). COSMA— Read more…
May 4, 2022
Intel spinoff Cornelis Networks, custodian and developer of the Omni-Path networking portfolio, is now closer to reaching its next-gen networking roadmap targets thanks to an R&D contract with the Department of Energy’s National Nuclear Security Administration (NNSA). The contract is valued at $18 million. The Next-Generation High Performance Computing Network (NG-HPCN) project brings together NNSA labs and... Read more…
March 22, 2022
Amid the stream of news from GTC22 today was Nvidia’s launch of a new Ethernet networking platform – Spectrum-4 – and a new 51.2 terabit Spectrum-4 Ethern Read more…
March 7, 2022
Nvidia has announced that it has acquired Excelero. The high-performance block storage provider, founded in 2014, will have its technology integrated into Nvidia’s enterprise software stack. Nvidia is not disclosing the value of the deal. Excelero’s core product, Excelero NVMesh, offers software-defined block storage via networked NVMe SSDs. NVMesh operates through... Read more…
February 24, 2022
While the HPC community is certainly aware of the shifting HPC technology landscape, it is worthwhile to occasionally take stock of how the overall changes are driving future architecture. Towards the end of last year, the National Science Foundation authored a paper outlining trends as NSF perceives them along with an explanation of the NSF... Read more…
February 24, 2022
Technology heavyweight Hewlett Packard Enterprise and optical IO startup Ayar Labs have embarked on a strategic collaboration to advance silicon photonics in the datacenter and integrate optical IO into a future generation of HPE’s Slingshot interconnect. Optical-based interconnects are essential to overcoming the bandwidth, latency, power and distance... Read more…
February 2, 2022
Oak Ridge National Laboratory recently became one of a handful of organizations funded by the Department of Energy to develop the underlying technology require 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.
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.