April 6, 2016
Already Europe’s fastest supercomputer at 7.8 petaflops, the Piz Daint (hybrid CPU/GPU Cray XC30) at the Swiss National Computing Center (CSCS) will double its performance with a massive upgrade that involves switching to NVIDIA’s newest Pascal GPU architecture and merging with Piz Dora (Cray XC40), a smaller CPU-based machine. The announcement was made at GTC16... Read more…
June 9, 2015
If you've been waiting for a formal evaluation of the IBM Power8 architecture on common financial workloads, then look no further. According to results share Read more…
April 22, 2015
Nearly one year after the Department of Energy inked a $70 million contract for the exascale-relevant Cori system, news of a second, smaller system has come Read more…
April 2, 2015
Intel recently published a case study that demonstrates the advantages of the Intel Xeon E5-2600 v3 product family for running engineering workloads, using Read more…
Data growth is relentless and inevitable, as data has come to define many aspects of research computing. Simulation data, ever more sophisticated sensor data, and now the rise of machine learning all contribute to the accelerating pace of data growth.
Learn how archive is different than backup, how much data should be archived, and how to architect a comprehensive HSM solution using new data management technologies that can handle this accelerating growth today and well into the future.
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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