The goal of the development of CaDiCaL was to obtain a CDCL solver, which is easy to understand and change, while at the same time not being much slower than other state-of-the-art CDCL solvers.
Originally we wanted to also radically simplify the design and internal data structures, but that goal was only achieved partially, at least for instance compared to Lingeling.
However, the code is much better documented and CaDiCaL actually became in general faster than Lingeling even though it is missing some preprocessors (mostly parity and cardinality constraint reasoning), which would be crucial to solve certain instances.
Use ./configure && make to configure and build cadical and the library
libcadical.a in the default build sub-directory. The header file of
the library is src/cadical.hpp and includes an example
for API usage.
See BUILD.md for options and more details related to the build
process and test/README.md for testing the library and
the solver. Since release 1.5.1 we have a NEWS.md file.
You might also want to check out CONTRIBUTING.md on
if you want to contribute.
The solver has the following usage cadical [ dimacs [ proof ] ].
See cadical -h for more options.
If you want to cite CaDiCaL please use the solver description in the latest SAT competition proceedings:
@inproceedings{BiereFazekasFleuryHeisinger-SAT-Competition-2020-solvers,
author = {Armin Biere and Katalin Fazekas and Mathias Fleury and Maximillian Heisinger},
title = {{CaDiCaL}, {Kissat}, {Paracooba}, {Plingeling} and {Treengeling}
Entering the {SAT Competition 2020}},
pages = {51--53},
editor = {Tomas Balyo and Nils Froleyks and Marijn Heule and
Markus Iser and Matti J{\"a}rvisalo and Martin Suda},
booktitle = {Proc.~of {SAT Competition} 2020 -- Solver and Benchmark Descriptions},
volume = {B-2020-1},
series = {Department of Computer Science Report Series B},
publisher = {University of Helsinki},
year = 2020,
}
You might also find more information on CaDiCaL at http://fmv.jku.at/cadical.
Armin Biere