Gerry Creager wrote:
I'm running WRF on ranger, the 580 TF Sun cluster at utexas.edu. I can complete the WRF single domain run, using 384 cores in ~30 min wall clock time. At the WRF Users Conference last week, the number of folks I talked to running WRF on workstations or "operationally" on 16-64 core clusters was impressive. I suspect a lot of desktop weather forecasting will, as you suggest, become the norm. The question, then, is: Are we looking at an enterprise where everyone with a gaming machine thinks they understand the model well enough to try predicting the weather, or are some still in awe of Lorenz' hypothesis about its complexity?
I see a curious phenomenon going on in crash simulation and NVH. We see an increasing "decoupling" if you will, between the detailed issues of simulation and coding, and the end user using the simulation system. That is, the users may know the engineering side, but don't seem to grasp the finer aspects of the simulation ... what to take as reasonably accurate, and what to grasp might not be.
I don't see this in chemistry, in large part due to many of the users also writing their own software.
I think this "decoupling" where developers and users knowledge starts diverging is both simultaneously painful for the "older" crowd of developer/users, and opens up interesting opportunities for new users. Basically it commoditizes the ability to run the codes. The question is whether or not you can provide better guidance to the users about the likelihood of it being a reasonable run, while abstracting away the details of the run.
Joe
gerry
-- Joseph Landman, Ph.D Founder and CEO Scalable Informatics LLC, email: [EMAIL PROTECTED] web : http://www.scalableinformatics.com phone: +1 734 786 8423 fax : +1 734 786 8452 cell : +1 734 612 4615 _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
