NFS@Home

[rebirther]

http://escatter11.fullerton.edu/nfs/

Team

Wiki

NFS@Home is a research project that uses Internet-connected computers to do the lattice sieving step in the NFS factorization of large integers.

[DoctorNow]

Bei NFS sind zwei neue Anwendungen dazu gekommen (plus Badges - für die Sammler):

3 Sep 2020, 20:38:37 UTC Two new apps launched
Two new apps have been launched, lasievee_small and lasievef_small. As the numbers we factor become larger, the lasieved app has largely become inadequate while the lasievee app queue has grown very long. In an attempt to compensate, job memory use and runtime has crept upward to stretch the capability of the apps. To alleviate these issues, these new apps will provide additional flexibility to choose the app most appropriate to the size of the number being factored while keeping memory use and runtime more reasonable. If you have modified your project preferences to run only specific applications, you may want to adjust your settings to enable these new apps. Thanks for your contributions to NFS@Home!

[odicin]

Neben einem Overhaul der Seite mit einem neuen Design aufgrund des Server-Updates auf eine aktuelle Version, gibt es bei NFS nun auch Arbeit für Cuda Grafikkarten:
cudasieve - CUDA lattice sieve for smaller numbers, uses 4GB GPU memory
cudasieve30 - CUDA lattice sieve for moderate numbers, uses 6GB GPU memory
cudasieve31 - CUDA lattice sieve for larger numbers, uses 9GB GPU memory

Meine 1070Ti braucht etwa 4h für eine WU der ersten Kategorie.

Gruß Odi