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Projects /
MilkyWay@home MilkyWay@homeОписаниеПроект, который использует подключенные к Интернет компьютеры для исследования, моделирования и определения изменений Млечного пути. Характеристики
Поддерживаемые платформыКоманды Беларуси
RSS новости A few weeks ago, we ran double credits in order to make up for a database error that occurred earlier in 2011. Unfortunately, the server crashed with just 12 hours left until the make-up credits were finished. Now that the new server is up and running (and stable! very stable!), and everyone here is back from travels and winter break, we are ready to finish running those last 12 hours of double make-up credits. If there are no significant objections, we'll run the double credits on St. Valentine's Day (February 14), from 10:00 am until 10:00 pm, US Eastern time (EST). This corresponds to 3pm (Feb14)-3am (Feb15) UTC. Happy crunching! I've raised the work limit to 20 tasks per GPU to see what happens. Everything should be running on the new server now. Hi Everyone, The new server is in, and we'll be migrating everything over to it this week. We expect to have everything done Tuesday or Wednesday next week. We are expecting to be able to move the entire database over, so we don't expect that you'll lose any work or credit during the transition. Sometime along the way we'll be shutting down the old server for a period of time while we migrate the database over, and redirect milkyway.cs.rpi.edu over to the new machine. We'll be trying to make it as seamless and painless as possible for everyone. Hopefully this will solve a lot of our crashing issues as well. --Travis I've updated all the N-body applications to 0.80. These add a new kind of likelihood calculation (and soon validation method) we're probably going to switch to using that will allow adding GPU versions sometime in the near future (the GPU version is pretty much ready to go, but we need to fiddle with these kinds of issues first). Since the n-body is statistical, for any simulation the result can be anywhere in a distribution. So far for validation we have relied on the results from any 2 system being identical, but this is more problematic when you try to include GPUs. The new results should be "fuzzier" and more resistant to some other types potential problems the old likelihood calculation could have.
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