Projektnews MilkyWay@home: milkyway3 v0.04 source released
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I've released the v0.04 source code here (take your pick):
http://milkyway.cs.rpi.edu/milkyway/download/mw3_v0.04.zip
http://milkyway.cs.rpi.edu/milkyway/download/mw3_v0.04.tar
The new code contains a new method for modeling the background of the milky way's halo, which we hope will more accurately represent the background. Right now, there is no good model for this -- and finding a good model is one of the goals of this project, so if we determine a good one this will be a major result. We're very interested to see how this new model performs.
There have also been a couple changes to one of the input parameter files, and the output of the application. It will now output individual likelihoods for the background and each stream being modeled, as well as the total likelihood. This will allow us to optimize over them individually and hopefully get better fits for our models.
This source code also includes Kahan summation, which should make the results for the GPUs and CPUs closer.
There are new test parameter files included with the source, and if you want more information about the parameter files and expected results visit the forum thread in the news section.
Lese weiter bei MilkyWay@home....
http://milkyway.cs.rpi.edu/milkyway/download/mw3_v0.04.zip
http://milkyway.cs.rpi.edu/milkyway/download/mw3_v0.04.tar
The new code contains a new method for modeling the background of the milky way's halo, which we hope will more accurately represent the background. Right now, there is no good model for this -- and finding a good model is one of the goals of this project, so if we determine a good one this will be a major result. We're very interested to see how this new model performs.
There have also been a couple changes to one of the input parameter files, and the output of the application. It will now output individual likelihoods for the background and each stream being modeled, as well as the total likelihood. This will allow us to optimize over them individually and hopefully get better fits for our models.
This source code also includes Kahan summation, which should make the results for the GPUs and CPUs closer.
There are new test parameter files included with the source, and if you want more information about the parameter files and expected results visit the forum thread in the news section.
Lese weiter bei MilkyWay@home....
