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.

Steven Engler 11f5d05ba8 Unset the macros. 8 anni fa
.gitignore 3a50b8f3a9 Added a '.gitignore' file. 8 anni fa
COPYING e2973619c9 Commit cudadl-0.8 to git 14 anni fa
Makefile 11f5d05ba8 Unset the macros. 8 anni fa
README 9fca8d29fd cudadl-0.9 14 anni fa
atomic_iostream.h 3a802c8e75 Improved the logging for dlrho. 8 anni fa
controller.cc 1da839f0d8 Can save distinguished points to files. 8 anni fa
controller.h edfd20a685 Add new cmdline options to controller 14 anni fa
controller_main.cc f496ab2bf5 Can make the output from the two versions comparable. 8 anni fa
cudadl.h 1da839f0d8 Can save distinguished points to files. 8 anni fa
desired_resources.cc f496ab2bf5 Can make the output from the two versions comparable. 8 anni fa
desired_resources.h 7dc8d4e064 Both versions now use 'desired_resources(...)'. 8 anni fa
dlrho.cc 1da839f0d8 Can save distinguished points to files. 8 anni fa
dpnode.cc 1da839f0d8 Can save distinguished points to files. 8 anni fa
dpnode.h 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 anni fa
dpnode_main.cc 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 anni fa
dpstream.cu 1da839f0d8 Can save distinguished points to files. 8 anni fa
evutils.cc 0e999113e0 Reconstruct answer and launch new problems 14 anni fa
evutils.h 4a0de9516a Enable libevent thread safety for the worker 14 anni fa
gen_N.cc 9fca8d29fd cudadl-0.9 14 anni fa
gencios_reg_20 771b13c42c Use macros to include the inline assembly instead of inline functions 14 anni fa
logparse.pl 9fa203afbe Add a program to parse the logfile for some interesting statistics 14 anni fa
mpi.cc ed7cb8a165 The first argument to 'mpi' specifies number of workers. 8 anni fa
parrhoasm.cu 1da839f0d8 Can save distinguished points to files. 8 anni fa
run_timing_multiprocess.sh ce3141f7e1 Added scripts for collecting timing data. 8 anni fa
subproblem.h e5decaf5df Communicate the dpfreq to the workers correctly 14 anni fa
summarize_data_multiprocess.py ce3141f7e1 Added scripts for collecting timing data. 8 anni fa
worker.cc 1da839f0d8 Can save distinguished points to files. 8 anni fa
worker.h 0e11651c7d The worker's 'cuda_dev_id' argument selects a GPU. 8 anni fa
worker_main.cc 0e11651c7d The worker's 'cuda_dev_id' argument selects a GPU. 8 anni fa

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