Source code for our paper "Solving Discrete Logarithms in Smooth-Order Groups with CUDA" from SHARCS 2012. The cuda-11.5 branch will compile on CUDA 11.5 and now runs with two A100 GPUs, though is perhaps not tuned optimally.

Ian Goldberg 2a4512a4ef Try to better calculate the needed resources to solve a subproblem 14 лет назад
COPYING e2973619c9 Commit cudadl-0.8 to git 14 лет назад
Makefile 2a4512a4ef Try to better calculate the needed resources to solve a subproblem 14 лет назад
README 9fca8d29fd cudadl-0.9 14 лет назад
controller.cc e5decaf5df Communicate the dpfreq to the workers correctly 14 лет назад
controller.h edfd20a685 Add new cmdline options to controller 14 лет назад
controller_main.cc 2a4512a4ef Try to better calculate the needed resources to solve a subproblem 14 лет назад
cudadl.h 9ca02921e8 An extra argument to worker specifies te CUDA device to use 14 лет назад
dlrho.cc 9c86a9f1f9 Let the caller of cuda_dl set the DP frequency 14 лет назад
dpnode.cc c081555e83 Fix the MPI driver to not conflict with libevent 14 лет назад
dpnode.h 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 лет назад
dpnode_main.cc 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 лет назад
dpstream.cu 03af039f7f Moved almost all output to #ifdef VERBOSE 14 лет назад
evutils.cc 0e999113e0 Reconstruct answer and launch new problems 14 лет назад
evutils.h 4a0de9516a Enable libevent thread safety for the worker 14 лет назад
gen_N.cc 9fca8d29fd cudadl-0.9 14 лет назад
gencios_reg_20 771b13c42c Use macros to include the inline assembly instead of inline functions 14 лет назад
mpi.cc 397c6a4e61 Clean up the output of the MPI driver a bit 14 лет назад
parrhoasm.cu 2dda9b350b Flush cout at various points so we can more easily watch progress 14 лет назад
subproblem.h e5decaf5df Communicate the dpfreq to the workers correctly 14 лет назад
worker.cc 2dda9b350b Flush cout at various points so we can more easily watch progress 14 лет назад
worker.h 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 лет назад
worker_main.cc 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 лет назад

README

cudadl-0.9
21 Mar 2012
Ryan Henry and Ian Goldberg
{rhenry,iang}@cs.uwaterloo.ca
http://crysp.uwaterloo.ca/software/

This package contains the source code to our CUDA implementation of
van Oorschot and Wiener's parallel version of the Pollard rho discrete
log algorithm. It is intended for use on 1536-bit moduli that are
RSA numbers with smooth totient; that is, the modulus N=pq, where p and q
are 768-bit primes, and the prime factors of p-1 and q-1 are all
distinct and less then B, for a parameter B. [The value 1536 is
hardcoded as "WORDS = 24" (24*32*2 = 1536) in the Makefile; it is easy
to change this value and recompile if desired.] Note that this means
the totient of N = \phi(N) = (p-1)(q-1) has all prime factors less than
B; that is, \phi(n) is "B-smooth".

Usage:

1. Build the software. You'll need:

NTL
GMP
NVIDIA CUDA Toolkit 3.1
2 M2050 (or other compute capability level 2.0) CUDA cards
[If you have more or just 1, you'll need to modify dlrho.cc,
unfortunately.]

Hopefully just typing "make" should work. It will build gen_N and
dlrho.

2. Create the modulus N as, for example, a 1536-bit RSA number whose
totient is 2^50-smooth:

./gen_N 1536 50 > N

3. Generate a DL problem mod N and solve it:

./dlrho < N

This software is described in "Solving Discrete Logarithms in
Smooth-Order Groups with CUDA", CACR technical report 2012-02,
http://www.cacr.math.uwaterloo.ca/techreports/2012/cacr2012-02.pdf

This program is covered under version 3 of the GNU General Public
Licence; see the file COPYING for more information.

Changelog:

0.9 (21 Mar 2012)
Extend the code to handle smoothness levels (B) larger than 2^60. Now
we can handle up to 2^92. We have successfully run a test with
B = 2^80.

0.8 (23 Jan 2012)
Initial public release