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crible algébrique: distribution, optimisation - number field sieve home prerequisites download development bugs / support user reports introduction is a complete implementation in c/c++ of the number field sieve (nfs) algorithm for factoring integers and computing discrete logarithms in finite fields. it consists in various programs corresponding to all the phases of the algorithm, and a general script that runs them, possibly in parallel over a network of computers. is distributed under the gnu lesser general public license (lgpl) version 2.1 (or any later version). is the result of a collaborative effort involving many persons, over various periods of time. the current list of active contributors can be extracted from the git repository or from the openhub.net page. a tentative list of authors is (alphabetical order): shi bai razvan barbulescu cyril bouvier richard brent christophe clavier jérémie detrey andreas enge alain filbois nuno franco pierrick gaudry laurent grémy aurore guillevic nadia heninger laurent imbert alexander kruppa jérome milan françois morain lionel muller thomas prest thomas richard emmanuel thomé marion videau paul zimmermann citing the recommended way to cite in a scientific publication is ( bibtex entry ): the development team. , an implementation of the number field sieve algorithm , release 2.3.0, 2017, http://.gforge.inria.fr/ where the release number and date should be changed to correspond to the version you actually used. if you used the development version, it is a good idea to give the git revision number. features algorithms used in 2.3.0 are the following: the polynomial selection uses the algorithm of kleinjung (2008) then candidate polynomials are optimized using the algorithm of bai, bouvier, kruppa and zimmermann (2014) the filtering step follows cavallar's thesis and bouvier's work. right now it is partly parallel. relation search is done using lattice sieving, including multithread support to reduce memory. the linear algebra step is implemented using block wiedemann algorithm. this implementation is parallel at multithread and mpi levels. the square root step uses the naive algorithm and is parallel. an alternate (experimental) implementation is available for very large computations, or pathological galois groups. speed comparison of versions 1.1 and 2.0, obtained on a dual 8-core intel(r) xeon(r) cpu e5-2650 at 2.00ghz, running linux 3.2.0. both cado releases were compiled with gcc 4.7.2. with 1.1 using cadofactor.pl, the timing runs used 16 processes of 1 thread each for polynomial selection and 8 processes of 2 threads each for sieving; with 2.0 using cadofactor.py, both phases used 8 processes of two threads each, with 2.1 using ./factor.sh n -s 8 -t 2 . with 2.3, the same behavior is obtained with ./.py --client-threads 2 --server-threads 16 --slaves 8 . the table below lists cpu time [wall clock time in square brackets]. input number 1.1 2.0 2.1 2.2.0 2.3.0 rsa-120 100 hours 45.6 hours 43.6 hours [4.3 hours] 32.2 hours [2.2 hours] 26 hours [1.9 hours] rsa-130 288 hours 231 hours 219 hours [18.5 hours] 124 hours [8.2 hours] 107 hours [7.5 hours] rsa-140 809 hours 614 hours 597 hours [49.4 hours] 469 hours [30.9 hours] 352 hours [23 hours] rsa-155 268 days 141 days 126 days [12.2 days] 90 days [5.8 days] 83 days [5.3 days] for 85- to 100-digits, ben buhrow compared various qs and nfs tools, see here . you can browse into the development tree history to find the news file for past releases: news for 2.3 branch news for 2.2 branch news for 2.1 branch news for 2.0 branch news for 1.1 branch news for 1.0 branch -- last modification: mon 11 sep 2017 11:34:42 am cest © 2006– the development team. ; valid xhtml 1.0 , valid css

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