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Profile Travis
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Message 42980 - Posted: 19 Oct 2010, 22:53:52 UTC
Last modified: 19 Oct 2010, 22:54:28 UTC

We recently submitted a paper to the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), http://www.ipdps.org/, Evolving N-Body Simulations to Determine the Origin and Structure of the Milky Way Galaxy’s Halo using Volunteer Computing. You can take a look at it here: http://www.cs.rpi.edu/~deselt/ipdps_2011.pdf



This paper goes into a lot of detail about what we're doing with the N-Body simulations and what we hope to learn about the Milky Way and it's halo from doing them. It also has details about the different N-Body searches we have been and are running (what models of the Milky Way they are using, and things like taht). Please feel free to ask any questions, however simple or complex in this thread. We'd be more than happy to answer these, because you're the one's making this research possible after all.



Thanks again!
--Travis
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Message 42984 - Posted: 19 Oct 2010, 23:11:48 UTC

damage, this pdf too long to translate with google ... and therefore the conprendre ...

But I guess it's still interesting .....
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Message 42985 - Posted: 19 Oct 2010, 23:16:51 UTC - in response to Message 42984.  
Last modified: 19 Oct 2010, 23:18:37 UTC

damage, this pdf too long to translate with google ... and therefore the conprendre ...

But I guess it's still interesting .....


I think the paper is 12 pages long or so, and pretty technical, so I'd imagine google would have trouble with it. I wish my French was good enough to translate it. :)

Here's a translated abstract, but I have a feeling it may miss the mark in some spots:


Ce travail décrit la recherche effectuée par le projet Voie Lactée @ Home d'utiliser des simulations N-corps pour modéliser la formation de halo de la Voie Lactée. Bien qu'il y ait eu des efforts antérieurs d'utiliser des simulations N-corps pour réaliser une modélisation astronomiques, à notre connaissance c'est la première fois d'utiliser des algorithmes évolutionnaires pour découvrir les paramètres initiaux des simulations N-corps de sorte qu'ils modéliser avec précision les données astronomiques. Comme un seul 32.000 simulation de corps peut prendre jusqu'à 200 heures sur un seul processeur, ce travail est rendu possible en utilisant la puissance de calcul des 35.000 volontaires hôtes à la MilkyWay Accueil du projet @. Un framework open-source pour l'optimisation distribuée génériques (FGDO) est utilisé pour exécuter les algorithmes évolutionnaires dans le cadre de l'infrastructure ouverte de Berkeley pour le Réseau Informatique (BOINC) qui est utilisé par de nombreux autres projets de calcul bénévole, tels que SETI @ Home. L'architecture de FGDO est décrite et les résultats sont présentés qui montrent que les algorithmes évolutionnaires utilisés correctement découvrir les paramètres initiaux de simulations N-corps qui correspondent à des données de test et de trouver des paramètres initiaux qui produisent des simulations N-corps qui précise les débris modèle de marée dans la Voie Lactée Galaxy halo.

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Message 42989 - Posted: 19 Oct 2010, 23:25:42 UTC
Last modified: 19 Oct 2010, 23:26:48 UTC

Thank you for this very interesting little summary
Hopefully in the future as applications go out for GPU Nvidia GTX 4xx for N_body and all other sub-projects ...?!

Thank you to keep the Nvidiatien ...

I wish you good luck to you and your team for your research and application development ...

Regards ...
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Message 43010 - Posted: 20 Oct 2010, 13:04:32 UTC - in response to Message 42985.  

merci :))

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