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 09eabac201 Changed DTable from a 'map' to 'unordered_map'. 8 vuotta sitten
.gitignore 3a50b8f3a9 Added a '.gitignore' file. 8 vuotta sitten
COPYING e2973619c9 Commit cudadl-0.8 to git 14 vuotta sitten
Makefile 11f5d05ba8 Unset the macros. 8 vuotta sitten
README 9fca8d29fd cudadl-0.9 14 vuotta sitten
atomic_iostream.h 3a802c8e75 Improved the logging for dlrho. 8 vuotta sitten
controller.cc 8ed3d76640 Derandomization works with multiple workers. 8 vuotta sitten
controller.h edfd20a685 Add new cmdline options to controller 14 vuotta sitten
controller_main.cc f496ab2bf5 Can make the output from the two versions comparable. 8 vuotta sitten
cudadl.h 1da839f0d8 Can save distinguished points to files. 8 vuotta sitten
desired_resources.cc 8ed3d76640 Derandomization works with multiple workers. 8 vuotta sitten
desired_resources.h 7dc8d4e064 Both versions now use 'desired_resources(...)'. 8 vuotta sitten
dlrho.cc 1da839f0d8 Can save distinguished points to files. 8 vuotta sitten
dpnode.cc 09eabac201 Changed DTable from a 'map' to 'unordered_map'. 8 vuotta sitten
dpnode.h 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 vuotta sitten
dpnode_main.cc 5b62cbb2c4 Split off the three main()s in preparation for MPI wrapper 14 vuotta sitten
dpstream.cu 1da839f0d8 Can save distinguished points to files. 8 vuotta sitten
evutils.cc 0e999113e0 Reconstruct answer and launch new problems 14 vuotta sitten
evutils.h 4a0de9516a Enable libevent thread safety for the worker 14 vuotta sitten
gen_N.cc 9fca8d29fd cudadl-0.9 14 vuotta sitten
gen_all_N.sh 47faf09287 Improved the timing experiment script. 8 vuotta sitten
gencios_reg_20 771b13c42c Use macros to include the inline assembly instead of inline functions 14 vuotta sitten
logparse.pl 9fa203afbe Add a program to parse the logfile for some interesting statistics 14 vuotta sitten
mpi.cc ed7cb8a165 The first argument to 'mpi' specifies number of workers. 8 vuotta sitten
parrhoasm.cu 1da839f0d8 Can save distinguished points to files. 8 vuotta sitten
run_timing_experiment.sh 47faf09287 Improved the timing experiment script. 8 vuotta sitten
subproblem.h e5decaf5df Communicate the dpfreq to the workers correctly 14 vuotta sitten
summarize_data_multiprocess.py ce3141f7e1 Added scripts for collecting timing data. 8 vuotta sitten
worker.cc 8ed3d76640 Derandomization works with multiple workers. 8 vuotta sitten
worker.h 0e11651c7d The worker's 'cuda_dev_id' argument selects a GPU. 8 vuotta sitten
worker_main.cc 0e11651c7d The worker's 'cuda_dev_id' argument selects a GPU. 8 vuotta sitten

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