Some workloads generate a LOT of output files and sometimes quite suddenly. For codes like OpenFOAM, this is data that you may not need until later when you run a post-processing job.
Given the amount of data isn’t always predictable, there …
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In the search for HPC application performance, there’s more than one way to build a network.
HPC applications (or “codes” as we usually call them) are often at the mercy of the network underpinning an HPC cluster. If your CPUs aren’t busy, …
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By popular request, we’re looking today at the EFA software stack and environment: how to make sure it’s set up correctly (so you get great performance from your codes), how to tell if it’s not, and how to fix that.
Austin Cherian, our …
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(A complete teardown of WRF performance on x86 and AWS Graviton, from memory subsystems, compilers and MPI stacks).
Weather simulation is a reliably difficult workload for almost any HPC architecture and is often used as a litmus test by …
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AWS’s compute infrastructure is very much not like a ‘normal’ supercomputer (whatever that is). We don’t start with a blank page every few years and design the next big system. It’s more like a city where we have to build on what’s there …
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Carsten Kutzner is a researcher and scientific software developer at the Max Planck Institute for Biophysical Chemistry in Göttingen in Germany. He’s been doing some really diverse benchmarking studies in collaboration with our HPC …
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DCV was originally built for supercomputing centers to push pixels over the internet and enable a scientist or aerospace engineer to feel like they had an HPC cluster under their desk when inspecting detailed imagery or manipulating …
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DCV was originally created for scientists and engineers who run thing on supercomputers. They needed to visualize massive datasets produced by really large compute workloads crunching petabytes of data. That takes some fast machines and …
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