As announced 11 days ago, RSALS operations are being merged into the larger NFS@Home grid.
The initial tests have been very positive, so migration will now proceed as intended. NFS@Home has a newer and better version of the same siever program (derived and improved from the original RSALS program). The same persons will remain involved in providing numbers and using the results, and feeding the BOINC server.
We will stop feeding WUs into RSALS at the end of this month. You can finish your current work, and even take a bit more for the time being, but please schedule the migration of your BOINC clients to NFS@Home. You don't need to wait, you can migrate now.
Unlike RSALS, NFS@Home appears in the BOINC Manager's list of projects.
Our announcement seems to have sparked clients' interest into RSALS, as the power of RSALS raised from an indicated ~250-350 GFLOPS (on the status page) to more than 1300 GFLOPS at the time of this writing. Thanks for your interest, which helps multiple integer factoring projects, and thanks to volunteer post-processers for helping us :-)
If you don't want the NFS@Home WUs to use more RAM than the current RSALS WUs do, you'll have to make sure, in the preferences of your account on NFS@Home ( http://escatter11.fullerton.edu/nfs/prefs.php?subset=project ), that "lasieved" is the only enabled siever.
If you want to make your computers work on harder numbers, then you can enable the "lasievee", "lasievef" and "lasieve5f" sievers, in increasing order of memory requirements. lasieve5f can require more than 1 GB of RAM per core.
We hope to see you on NFS@Home soon :-)
Most of the BOINC server programs will be stopped, but the current RSALS web pages will stay here and will continue to show your contributions to this great project.
Lionel Debroux & squalyl for RSALS.
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I think it is wise to share that the sievers used on NFS@Home are 64-bit compatible (only not for Windows platform) so you will get double credits as double speed compared to the standard 32-bit versions. Also on NFS@Home you have Mac OS and FreeBSD compatible versions of the siever. So the range of offer is wide.
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I think it is wise to share that the sievers used on NFS@Home are 64-bit compatible (only not for Windows platform) so you will get double credits as double speed compared to the standard 32-bit versions. Also on NFS@Home you have Mac OS and FreeBSD compatible versions of the siever. So the range of offer is wide.
Why not for Windows? Does it use GMP? If so, have you considered a 64-bit windows app using MPIR? You don't even need to change the included headers. Just link to the mpir library instead of the gmp lib and that's it.
Note: It isn't as fast as the 32-bit GMP for Windows but it is a lot faster than running a 32-bit GMP on a 64-bit Windows system.
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Why not for Windows? Does it use GMP? If so, have you considered a 64-bit windows app using MPIR? You don't even need to change the included headers. Just link to the mpir library instead of the gmp lib and that's it.
Note: It isn't as fast as the 32-bit GMP for Windows but it is a lot faster than running a 32-bit GMP on a 64-bit Windows system.
It doesn't use GMP.
For more information please study this thread: http://www.mersenneforum.org/showthread.php?t=11660
No one so far managed to compile a 64-bit windows version because the code is very hard and it is fundamental to understand the math involved.
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Darn, I was hoping to get to 100k credits before you shut down.
22k+ short.
Can you merger the credits earned with NFS, I also crunch over there, same name.
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Soooo... What are we doing?
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