This is a header-only template library for fixed-width "small big-integer" computations, for use during run-time as well as compile-time. By "small big integers", we mean numbers with a few limbs (in other words, a few hundred bits), typically occurring in cryptographic applications.
Important note: not all functions in the library are constant-time (when used at run-time); only those for which this is explicitly indicated.
Currently, the library is a work in progress and supports the following operations
- addition, formal verification: correctness using SAW and constant-timeness using ct-verif
- subtraction,
- multiplication (naive O(n^2) "schoolbook" multiplication) constant-time-verified using ct-verif
- division: short division (single-limb divisor) and Donald Knuth's "algorithm D"
- division: Granlund--Montgomery division by invariant integer (gives constant-time modulo reduction),
- comparison constant-time-verified using ct-verif
- modular addition,
- extended GCD and modular inverse,
- Barrett reduction,
- Montgomery reduction,
- Montgomery multiplication,
- Modular exponentiation (based on Montgomery multiplication)
- Compile-time initialization from a base-10 literal
- Serialization to ostream as base-10 string (binary serialization is trivial, by just copying the limbs)
ctbignum is available in Matt Godbolt's Compiler Explorer! Play around with ctbignum's API, and see the assembly code it gets compiles down to, for the compiler of your choice..!
Because this is a header-only library, installation is as easy as downloading and copying the contents of the include
directory into your system's include
directory (e.g. /usr/local/include
or /opt/local/include
).
- newer: C++20 compliant compiler
- Until v0.3: Clang 5 or Apple LLVM/Clang 9.00 (C++17 compliant, older compilers may work but are untested)
- C++ Standard library
- NTL (Victor Shoup's number theory library), version 10.5.0 or newer.
- SCIPR lab's libff
- GMP (libff dependency)
- Google Benchmark
// compile with: -std=c++20 (or a more recent standard)
#include <ctbignum/ctbignum.hpp>
// Initialization via (user-defined) literal
// (with automatic deduction of number of limbs)
using namespace cbn::literals;
constexpr auto number = cbn::to_big_int(6513020836420374401749667047018991798096360820_Z);
constexpr big_int<3> expected_result = {1315566964, 326042948, 19140048};
static_assert(number == expected_result, "initialization failure");
(See unit tests for more examples.)
-
Presentation at CPPCon 2018 (slides, pdf, 1.7 MB)
Or, watch the video:
If you would like to mention our library in your academic publication, then please cite the following work: Multiprecision Arithmetic for Cryptology in C++ - Compile-Time Computations and Beating the Performance of Hand-Optimized Assembly at Run-Time, Niek J. Bouman, 2018
@misc{Bouman2018,
author = {Bouman, Niek J.},
title = {Multiprecision Arithmetic for Cryptology in C++ - Compile-Time Computations and Beating the Performance of Hand-Optimized Assembly at Run-Time},
howpublished = {arXiv:1804.07236},
year = {2018},
note = {\url{https://arxiv.org/abs/1804.07236}},
}
To run the tests in a docker image using .gitlab-ci.yml
:
- Get gitlab-runner
- Run
gitlab-runner exec docker build
from the project root directory