What George said is what I meant by "it's a non-trivial amount of work." :-)

In addition to when George adds these patches (allowing components to register for blocking progress), there's going to be some work to deal with shared memory (we have some ideas here, but it's a bit more than just allowing shmem to register to blocking progress) and other random issues that will arise.


On Apr 24, 2008, at 11:17 AM, George Bosilca wrote:

Well, blocking or not blocking this is the question !!! Unfortunately, it's more complex than this thread seems to indicate. It's not that we didn't want to implement it in Open MPI, it's that at one point we had to make a choice ... and we decided to always go for performance first.

However, there were some experimentations to go in blocking more at least when only TCP was used. Unfortunately, this break some other things in Open MPI, because of our progression model. We are component based and these components are allowed to register periodically called callbacks ... And here periodically means as often as possible. There are at least 2 components that use this mechanism for their own progression: romio (mca/io/romio) and one- sided communications (mca/osc/*). Switching in blocking mode will break these 2 components completely. This was the reason why we're not blocking when only TCP is used.

Anyway, there is a solution. We have to move from a poll base progress for these components to an event base progress. There were some discussions, and if I remember well ... everybody's waiting for one of my patches :) A patch that allow a component to add a completion callback to MPI requests ... I don't have a clear deadline for this, and unfortunately I'm a little busy right now ... but I'll work on it asap.

 george.

On Apr 24, 2008, at 9:43 AM, Barry Rountree wrote:

On Thu, Apr 24, 2008 at 12:56:03PM +0200, Ingo Josopait wrote:
I am using one of the nodes as a desktop computer. Therefore it is most important for me that the mpi program is not so greedily acquiring cpu
time.

This is a kernel scheduling issue, not an OpenMPI issue. Busy waiting in one process should not cause noticable loss of responsiveness in another
processes.  Have you experimented with the "nice" command?

But I would imagine that the energy consumption is generally a big
issue, since energy is a major cost factor in a computer cluster.

Yup.

When a
cpu is idle, it uses considerably less energy. Last time I checked my computer used 180W when both cpu cores were working and 110W when both
cores were idle.

What processor is this?


I just made a small hack to solve the problem. I inserted a simple sleep
call into the function 'opal_condition_wait':

--- orig/openmpi-1.2.6/opal/threads/condition.h
+++ openmpi-1.2.6/opal/threads/condition.h
@@ -78,6 +78,7 @@
#endif
   } else {
       while (c->c_signaled == 0) {
+           usleep(1000);
           opal_progress();
       }
   }


I expect this would lead to increased execution time for all programs
and increased energy consumption for most programs. Recall that energy
is power multiplied by time.  You're reducing the power on some nodes
and increasing time on all nodes.

The usleep call will let the program sleep for about 4 ms (it won't
sleep for a shorter time because of some timer granularity). But that is good enough for me. The cpu usage is (almost) zero when the tasks are
waiting for one another.

I think your mistake here is considering CPU load to be a useful metric. It isn't. Responsiveness is a useful metric, energy is a useful metric,
but CPU load isn't a reliable guide to either of these.

For a proper implementation you would want to actively poll without a sleep call for a few milliseconds, and then use some other method that
sleeps not for a fixed time, but until new messages arrive.

Well, it sounds like you can get to this before I can. Post your patch
here and I'll test it on the NAS suite, UMT2K, Paradis, and a few
synthetic benchmarks I've written.  The cluster I use has multimeters
hooked up so I can also let you know how much energy is being saved.

Barry Rountree
Ph.D. Candidate, Computer Science
University of Georgia




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Jeff Squyres
Cisco Systems

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