CDCL.jl
cryptominisat
| CDCL.jl | cryptominisat | |
|---|---|---|
| 1 | 2 | |
| 1 | 795 | |
| - | - | |
| 10.0 | 9.7 | |
| over 6 years ago | 5 days ago | |
| Julia | C++ | |
| - | GNU General Public License v3.0 or later |
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CDCL.jl
cryptominisat
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The Silent (R)evolution of SAT
ManySAT: http://www.cril.univ-artois.fr/~jabbour/manysat.htm
It shares short conflict clauses between parallel solvers and achieves superlinear speedup in some cases, e.g., 4 parallel solvers solve faster than one forth of the single solver soolution time.
Short conflict clauses are rare so there is little communication between solvers required.
CryptoMiniSAT: https://github.com/msoos/cryptominisat
Author's goal to have solver that is good in computing range from single CPU up to cluster. Judging from CryptoMiniSAT successes, he has mostly reached the goal.
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kotlin-satlib: SAT solver wrappers for Kotlin
Alongside with the SAT solver interface and its extensions, `kotlin-satlib` provides wrappers for native SAT solvers (these days, most of them are written in C/C++) implemented using JNI technology. Currently, the solvers included are: MiniSat, Glucose, Cadical and CryptoMiniSat. Sadly, `kotlin-satlib` won't work out-of-the-box, you have to provide it with some external SAT solver, either in the form of a library or a binary. Luckily, there are build instructions for each of the supported SAT solver, both for Linux and Windows. Checkout the README!
What are some alternatives?
cadical - CaDiCaL SAT Solver
agda-stdlib - The Agda standard library
kissat
GpuShareSat - Source code for GpuShareSat, a library for SAT solvers to use the GPU for clause sharing between CPU threads.
xorstr - heavily vectorized c++17 compile time string encryption.
minisat-v1.14 - MiniSat v1.14
kotlin-satlib - 🗿 SAT solver wrappers for Kotlin
microsat - microsat
jnisat - Java JNI bindings for the PicoSat and MiniSat SAT solvers
ipasir - The Standard Interface for Incremental Satisfiability Solving
peekaboo - Simple undetectable shellcode and code injector launcher example. Inspired by RTO malware development course.