June 21, 2022
Additional details of the architecture of the exascale El Capitan supercomputer were disclosed today by Lawrence Livermore National Laboratory’s (LLNL) Terri 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 17, 2022
In late 2020, Los Alamos National Laboratory (LANL) — which operates under the Department of Energy’s National Nuclear Security Administration (NNSA) — co Read more…
September 28, 2021
In support of the Department of Energy’s National Nuclear Security Administration (NNSA), the Tri-Lab CTS-2 system contract award was announced last week. The NNSA TriLab partnership – comprising Livermore, Los Alamos and Sandia national labs – awarded Dell Technologies... Read more…
November 4, 2020
Over the last nine months, innumerable HPC systems around the world have turned their computing power toward the coronavirus – however, relatively few have be Read more…
October 2, 2020
After facing setbacks in its semiconductor execution, including a delay in its 7nm node, Intel is announcing two partnerships with U.S. national labs that reaffirm its commitment to advanced computing: first, a partnership with the DOE and the national labs that focuses on developing next-generation semiconductors and manufacturing techniques; and second... Read more…
October 1, 2020
The three national laboratories (Lawrence Livermore, Los Alamos and Sandia) that support the National Nuclear Security Administration (NNSA) occupy a strange role in the landscape of government-funded research and supercomputing. The NNSA manages the military applications of nuclear science... Read more…
August 19, 2020
The company driving wafer scale computing for AI and machine learning applications, Cerebras, has announced a number of system wins in the last 12 months, and c Read more…
For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.
This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.
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