IBM today issued an extensive and detailed expansion of its Quantum Roadmap that calls for developing a new 1386-qubit processor – Kookaburra – built from modularly scaled chips, and deliveri …
Uranium tetrafluoride hydrate (UFH) is produced as a byproduct during the fuel cycle for nuclear power plants—but it remains poorly understood in comparison to other, more substantial byproduct …
May 5, 2022
The first exoplanet detection happened only 30 years ago—but now, thanks to rapid advances in observation and data processing technologies, astronomers are wo Read more…
May 4, 2022
With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... 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…
April 28, 2022
Roughly a year ago the National Energy Research Scientific Computing Center (NERSC) launched Perlmutter, which was hailed at the time as the “world’s fastest AI supercomputer” by Nvidia whose GPUs provide much of Perlmutter’s power. Since then, NERSC has been aggressively ramping up its mixed AI-HPC workload capability – software, early science apps... Read more…
April 28, 2022
As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the Read more…
April 28, 2022
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programmin Read more…
April 27, 2022
In a one-two punch of new HPC-backed AI announcements, Hewlett Packard Enterprise (HPE) today announced its new Machine Learning Development System (MLDS) and S Read more…
April 26, 2022
In the third of a series of guest posts on heterogeneous computing, James Reinders shares experiences surrounding the creation of ASCI Red and ties that system' 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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