Mixed-precision numerics in scientific applications: survey and perspectives
Mixed-precision numerics in scientific applications: survey and perspectives
My work for the month is to optimise the matrix adressing scheme of OpenFOAM to reduce cache miss. Initial idea is to replace the LDU Matrix addressing scheme with Diagnol matrix addressing scheme using multiple arrays for structures meshes. Will check it out on a simple 2D Poisson equation using Gauss-Seidel solver to check performance benefits, and will eventually proceed to introduce a new solver as a plugin if benefits are noticeable.
Wish me luck.
We are excited to announce support for Flux for #Kubeflow v2.2 to enable AI/ML workloads paired with #HPC simulation in #Kubernetes! 🥳
https://bsky.app/profile/vsoch.bsky.social/post/3mhssklh5xk2q
See the full post above to learn more, or jump into the demo! https://youtu.be/NbP0NdSDwog?si=DLHkdtYVnWa5lobg

We are excited to announce support for Flux for #Kubeflow v2.2 to enable AI/ML workloads paired with #HPC simulation. Flux adds a ZeroMQ bootstrap, support for #PMIx, more flavors of #MPI, and bypasses potential etcd and kube-sched bottlenecks. We are excited to bring this to the larger community! 🥳 [contains quote post or other embedded content]
Lustre Users Group 2026
April 27 – 29, 2026
Indianapolis, IN
Make plans to be with us in Indianapolis, IN for the conference for all things related to Lustre shared parallel storage. Opening Reception the evening of April 27th. The conference presentations are April 28th through April 29th, 2026 to learn about new features/improvements in Lustre including the most-recent release, Lustre 2.17 with Hybrid IO, Dynamic LNet NID Configuration and Nodemap enhancements.
Deadline extended until March 16th!
- Final weekend to submit your feedback -
Can you spare a minute for a very short survey? If you have ever used our OpenMP API Examples book, we are asking for your feedback in how we can improve it. The survey is short and quick.
Survey: https://link.openmp.org/4
(We will *not* add you to our contact list or sell your information)
#openmp #parallel #programming #HPC