mpi
The state of libfabric in Open MPI
Yesterday morning, I gave a presentation at the 2015 OpenFabrics Software Developers’ Workshop. I discussed the status of libfabric support in Open MPI. Here’s a copy of my slides:…
Cisco usNIC libfabric provider presentation
Earlier this morning, I gave a presentation at the 2015 OpenFabrics Software Developers’ Workshop. I discussed Cisco’s experiences with writing providers for both the Linux Verbs API and the Libfabric API. Here’s a copy of my slides:…
MPI-3.1! …not quite yet
The MPI Forum met for our quarterly meeting last week in Portland, Oregon. The main goal of the meeting was to pass the MPI-3.1 standard into law. MPI-3.1 contains a bunch of errata from MPI-3.0, and a small number of new things.…
A Farewell to LAM/MPI
With a little sadness, I note that LAM/MPI was officially retired recently. LAM/MPI’s hosting provider, Indiana University, made the decision not to renew the lam-mpi.org domain any more. As of a few weeks ago, LAM/MPI’s web site is no more, and its domain is in the process of expiring.…
Open MPI: behind the scenes
Working on an MPI implementation isn’t always sexy. There’s a lot of grubby, grubby work that needs to happen on a continual basis to produce a production-quality MPI implementation that can be used for real-world HPC applications. Sure, we always need to work on optimizing short messag…
MPI 3.1: coming soon to an implementation near you
The next MPI Forum meeting will be in Portland, OR, USA, in early March. One of the major topics on the agenda will be voting on the MPI 3.1 standard. You might be wondering what’s new in MPI-3.1. I’m glad you asked.…
Tree-based launch in Open MPI (part 2)
In my prior blog entry, I described the basics of Open MPI’s tree-based launching system over ssh (yes, there are still some valid / good reasons for using ssh over a native job scheduler / resource manager’s parallel launch mechanisms…). That entry got a little long, so I split th…
Tree-based launch in Open MPI
I’ve mentioned it before: the run-time systems of MPI implementations are frequently unsung heroes. A lot of blood, sweat, tears, and innovation goes into parallel run time systems, particularly those that can scale to very large systems. But they’re not discussed often, mainly because…
Holiday wishes
As usual, in the post-Supercomputing / post-US-Thanksgiving-holiday lull, the work that we have all put off since we started ignoring it to prepare for Supercomputing catches up to us. Inevitably, it means that my writing here at the blog falls behind in December. Sorry, folks! To make up for that…