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Most of the code ran in large datacenters isn't classic HPC. It's cloud workloads serving live traffic or running database backends or some analytical pipelines
by fffobar 4y ago
Most of the code ran in large datacenters isn't classic HPC. It's cloud workloads serving live traffic or running database backends or some analytical pipelines/queries running over the stored data.
Deep ML is about the only thing that's both large and "classic parallelizable HPC".
- dotnet00 4y agoI was talking about scientific code, as that's what I have experience with. There a ton of work is large and parallelizable. Molecular dynamics, physical optics, magnetostatics, fluid simulations etc all benefit a lot from large scale parallelization/GPU support.
- fffobar 4y agoYeah, but that's the minority on a global scale.