A proof-of-concept implementation of the FiniteFlow framework.
FiniteFlow is a framework for defining and executing numerical algorithms over finite fields and reconstructing multivariate rational functions from numerical evaluations. Within this framework, complex algorithms are easily defined by combining basic building blocks into computational graphs, known as dataflow graphs. This allows to easily implement complex methods over finite fields from high-level languages and computer algebra systems, without being concerned with the low-level details of the numerical implementation. Multivariate analytic results are then reconstructed from these numerical evaluations. The algorithm sidesteps the appearance of large intermediate expressions and can be massively parallelized.
It is based on the following publication:
- Tiziano Peraro, FiniteFlow: multivariate functional reconstruction using finite fields and dataflow graphs, arXiv:1905.08019
This implementation is written in C++ and includes a Mathematica interface. The latter is currently the most usable, complete and documented way of using this library.
FiniteFlow uses the CMake build system, which comes preinstalled on many systems, or can be installed with available package managers for most Linux distributions and using Homebrew for macOS. Binary installers for several operating systems, as well as additional information, can be found at https://cmake.org/.
GMP is preinstalled on many systems. A gmp package is available on
many Linux distributions and on Homebrew for macOS. For more
information see https://gmplib.org/.
FiniteFlow uses a few functions and macros from the FLINT library. For the installation of FLINT you have two options:
-
Install the full FLINT library. Installation packages are available for some Linux distrubutions (including Debian/Ubuntu) and macOS. See http://www.flintlib.org/ for more information about FLINT and its installation.
-
Alternatively, you can install the
flint-finiteflow-deplibrary, a stripped down version of FLINT which includes the dependencies needed by FiniteFlow. Unlike the full FLINT library, this version has no external dependency besides GMP and can therefore be easier to install from source (see the README file offlint-finiteflow-depfor more information). You can obtain it at this link.
FiniteFlow uses the CMake build system. In order to install FiniteFlow in a default installation path, you can use the command
cmake . && make install
On Apple Silicon Macs (with M1 processor or newer) add the option -DCMAKE_OSX_ARCHITECTURES=arm64 to the cmake command.
In order to install FiniteFlow in a custom path, or specify a different path for its dependencies use
cmake -DCMAKE_INSTALL_PREFIX=/installation/path/prefix \
-DCMAKE_PREFIX_PATH=/dependencies/installation/path/prefix \
-DMATHLIBINSTALL=/mathematica/interface/installation/path .
make install
where you can omit any of the options in order to pick a default value for them.
In order to use FiniteFlow from the Mathematica interface, consider
adding the following to your Mathematica init.m file
(* the next two lines are only needed if a custom MATHLIBINSTALL path was chosen when running cmake *)
$FiniteFlowLibPath = "/mathematica/interface/installation/path"
If[Not[MemberQ[$LibraryPath,$FiniteFlowLibPath]],$LibraryPath = Flatten[{$LibraryPath, $FiniteFlowLibPath }]];
(* the next two lines are needed to locate FiniteFlow.m, if not already in your $Path *)
$FiniteFlowPath = "/path/to/finiteflow/mathlink"
If[Not[MemberQ[$Path,$FiniteFlowPath]],$Path = Flatten[{$Path, $FiniteFlowPath }]];
A tutorial using the Mathematica interface is included, in the file mathlink/tutorial.wl. A list of frequently asked questions, is in the file FAQ.md. We kindly ask users to read it before reporting an issue.