jfkfif

Sandia is operated by a government contractor (Honeywell)

use spack.io instead

More performant than using HDF5?

I am working on something super similar. If you remember the name of the startup I would appreciate it deeply

In the desert? It’s the driest place in the world

It is not a reasonable assumption to compare your local cluster to the largest clusters within DOE or their equivalents in Europe/Japan. These machines regularly run at >90% utilization and you will not be given an allocation if you can’t prove that you’ll actually use the machine.

I do see the phenomenon you describe on smaller university clusters, but these are not power users who know how to leverage HPC to the highest capacity. People in DOE spend their careers working to use as much as these machines as efficiently as possible.

DOE already mandates this

osti.gov

Econ has a big working paper culture

PFAS is able to be removed via reverse osmosis which direct potable reuse facilities utilize, so not really a problem

nvidia absolutely gives deals to national labs and universities. See Crossroads @ LANL, Isambard in the UK, Perlmutter @ LBL. While AMD is being deployed at LLNL and ORNL, Nvidia isn’t done with their HPC game. Maybe not at the leadership level, but we’ll see how Oak Ridge and LANL decide their next round of procurements

Academic departments with low budgets and cheap electricity who can make due with old CPUs

the problem is multinode runs that communicate through the network