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Do you use C++? (redux)

Let’s revisit my stats from a prior blog post about who uses the MPI C++ bindings.  Jed Brown was kind enough to school me in how terrible my prior statistical analysis was.  

I’ve actually removed the offending stats from that entry and am re-doing them here; hopefully in a more meaningful way.  I won’t even describe how bad / wrong my prior analysis was; let’s just go through the numbers again with a little something I like to call The Right Way…

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hwloc 1.0 released!

At long last, we have released a stable, production-quality version of Hardware Locality (hwloc).  Yay!

If you’ve missed all my prior discussions about hwloc, hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as: NUMA memory nodes, shared caches, processor sockets, processor cores, and processing units (logical processors or “threads”). hwloc also gathers various attributes such as cache and memory information, and is portable across a variety of different operating systems and platforms.

In an increasing NUMA (and NUNA!) world, hwloc is a valuable tool for high performance.

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Do you use the MPI C++ bindings?

Do you use the MPI C++ bindings in real-world MPI applications?

I’m not talking about using the MPI C bindings in C++ MPI applications (e.g., using MPI_Send() — a C binding).  I’m talking about writing substantial C++ MPI applications that use the MPI C++ bindings (such as MPI::Send()). 

Do you do that?  Post a comment below and let me know.

The reason that I ask is because there is some confusion in the MPI Forum as to exactly how many people use the MPI C++ bindings — and whether we should un-deprecate the MPI C++ bindings. 

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ummunotify hits the -mm kernel tree

The “ummunotify” functionality was been added to the “-mm” Linux kernel tree yesterday.

/me does a happy dance

Granted, getting into the -mm tree doesn’t guarantee anything about getting into Linus’ tree.  But it’s definitely steps in the right direction.

Let me tell you why this is a Big Deal: memory management of networks based on OS-bypass techniques are a nightmare.  Ummunotify makes it slightly less of a nightmare.  This is good for MPI implementations and good for real-world MPI applications.

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More traffic

Traffic.  I find myself still thinking about my last entry today as I’m riding the blue line CTA from O’Hare airport to downtown Chicago for the MPI Forum meeting this afternoon.  Here I am, being spirited downtown at a steady clip on a commuter train while I see thousands of gridlocked cars on one side of me, and easily flowing motor vehicles on the other.  I will definitely reach downtown before the majority of vehicles that are only a few feet away from me on the Kennedy expressway, despite the fact that I’m quite sure that I left O’Hare long after they did.

Traffic is such a great network metaphor that is gives insight into today’s ramble: it’s well-understood that network packets may be delivered in a different order than which they were sent.  What’s less understood is why.

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