Search Results for "mersenne"

Portable software related to Mersenne numbers. Useful to automate certain tasks related to GIMPS (www.mersenne.org) for computers that cannot run the GIMPS software for whatever reason. Much of the code has been in use since 1990 or so by a few people. The project web site at https://mers.sourceforge.io/mersenne.html has data about Mersenne numbers from many people generated by this and other software, notably from the GIMPS project.

CUDALucas is a program implementing the Lucas-Lehmer primality test for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3 up to CUDA 6.5, 2.x up to 7.0 and 3.x for >=CUDA 8.0 . The program is run from the command line, however it can be configured without using a terminal. See the Wiki for more details.

...Doornik paper, 2005), used by nextGaussian() methods of the provided implementations. Requires Java 5 or later. Also available on github since 2015/12/13: https://github.com/jeffhain/jafaran Principal classes: - Implementations using Mersenne-Twister algorithm (good pseudo-randomness): MTSyncRNG MTSeqRNG - Implementations using Marsaglia Xor-Shift (fast): MXSIntSeqRNG (32 bits) MXSLongSeqRNG (64 bits) (nextLong() faster, larger period) - Ziggurat: Random-based implementation of Ziggurat algorithm.

CUDAPm1 is a modification of CUDALucas that implements the P-1 factoring algorithm for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3.

Glucas is a client to make primality test for Mersenne numbers. It is related to GIMPS effort to search the bigest primes ever found. In addition, it can be used as an excellent performance test. Posix thread, OpenMP and SunMP compatible

Fast-Fourier-Transform-based number theory code to test Mersenne numbers for primality using the Lucas-Lehmer test and the Crandall-Fagin irrational-base discrete weighted transform (IBDWT) algorithm (Math. Computation 62 (205), pp.305-324, January 1994)