August 11, 2022
A Google-led program to design and manufacture chips for free is becoming popular among researchers and computer enthusiasts. The search giant's open silicon program is providing the tools for anyone to design chips, which then get manufactured. Google foots the entire bill, from a chip's conception to delivery of the final product in a user's hand. Google's... Read more…
June 29, 2022
MLCommons’ latest MLPerf Training results (v2.0) issued today are broadly similar to v1.1 released last December. Nvidia still dominates, but less so (no gran Read more…
May 16, 2022
Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pichai said that Google’s datacenters would “soon have dozens of TPU v4 Pods, many of which will be... Read more…
March 17, 2022
At yesterday’s Quantum in Industry session at the APS March Meeting 2022, Google, IBM, Intel, Quantinuum, and Silicon Quantum Computing/University of South Wales (USW) presented progress points and ongoing challenges in the race to achieve practical quantum computing. While IBM has proclaimed 2023 to be the year it achieves quantum advantage, the other... Read more…
February 9, 2022
It’s no secret that finding and correcting errors in modern computer chips is an ever-growing problem. An article published this week in the New York Times ( Read more…
December 9, 2021
From European HPC experts pondering “can fast be green?” to new milestones on the Green500 list, sustainability certainly had a moment at the hybrid SC21 conference. And it’s no wonder: the exascale era is here, and power consumption for HPC is skyrocketing even as efficiency is driven to its extremes. At SC21, another session – “HPC’s Growing Sustainability Challenges and Emerging Approaches” – tackled the topic... Read more…
November 17, 2021
Unlike the deep technical dives of many SC keynotes, Internet pioneer Vint Cerf steered clear of the trenches and took leisurely stroll through a range of human-machine interactions, touching on ML’s growing capabilities while noting potholes to be avoided if possible. Cerf, of course, is co-designer with Bob Kahn of the TCP/IP protocols and architecture of the internet. He’s heralded... Read more…
July 19, 2021
Error mitigation is perhaps the biggest challenge and barrier to implementing practical quantum computing in the era of noisy intermediate scale quantum (NISQ) 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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