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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 the rest of the discussion into a separate blog entry.

The prior entry ended after describing that Open MPI uses a binomial tree-based launcher.

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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 they’re not as sexy and ultra-low latency numbers, or other popular MPI benchmarks.

Here’s one cool thing that we added to the runtime in Open MPI a few years ago, and have continued to improve on over the years (including pretty pictures!).

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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, here’s a little ditty I wrote to tide us all over until we all return after the new year.

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libfabric support of usNIC in Open MPI

I’ve previously written about libfabric.  Here’s some highlights:

Today, we’re pleased to announce the next step in our libfabric journey: my team at Cisco (the UCS product team) is contributing an open source plugin to Open MPI that uses the libfabric APIs.

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usNIC support for the Intel MPI Library

Intel MPI LibraryCisco is pleased to announce the intention to support the Intel MPI Library™ with usNIC on the UCS server and Nexus switches product lines over the ultra low latency Ethernet and routable IP transports, at both 10GE and 40GE speeds.

usNIC will be enabled by a simple library plugin to the uDAPL framework included in enterprise Linux distributions. The Intel MPI Library can utilize the usNIC uDAPL library plugin without any modifications to existing MPI applications.

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