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…
March 2, 2022
High-performance computing, or supercomputing, combined with new data-science approaches such as machine learning and artificial intelligence (AI) give scientis Read more…
October 21, 2021
When it’s (ostensibly) ready in early 2023, El Capitan is expected to deliver in excess of two exaflops of peak computing power – around four times the powe Read more…
February 18, 2021
A near node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. Details of this new storage technology were revealed... Read more…
March 4, 2020
HPE and its collaborators reported today that El Capitan, the forthcoming exascale supercomputer to be sited at Lawrence Livermore National Laboratory and serve Read more…
February 27, 2020
After eight years of service, Sequoia has been felled. Once the most powerful publicly ranked supercomputer in the world, Sequoia – hosted by Lawrence Livermo 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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