CPU-implementation of out massively-parallel, generic, MRF MAP solver named mapMAP posing minimal assumptions to the input, allowing rapid solution of a large class of MRF problems.
mapMAP's algorithmic foundation and parallelization concept has been presented at High Performance Graphics 2016 in Dublin, Ireland. For a reprint and further information, please refer to our project page (see below).
Currently, this code implements the following modules and features:
What it lacks:
For the license and terms of usage, please see "License, Terms of usage & Reference".
In addition to a "classical", CMake-based workflow, the great folks at tipi.build contributed (optional) support for their C++ build and dependency manager. With tipi, building mapmap or using it as a library in your own projects just happens by a snap of your finger.
The code has been tested (and compiles without issues) on an Ubuntu 16.04 system with an AVX2-compliant Intel CPU using gcc/g++ 9.3.0 and Intel OneTBB (2021.5.0). The latter is licensed under the 3BSD-compatible Apache 2.0 licence (see ASF legal FAQ). Please make sure to use an C++11-comptabile compiler and activate the necessary options. If you are a Ubuntu user, please click on APT on the OneTBB page linked above. Google Test will automatically be downloaded and built.
The provided FindTBB.cmake is taken from justusc and licensed under the MIT license.
The following instructions are provided for linux; the Windows workflow should be somewhat similar, though GUI-based.
Step-by-step instructions:
git clone https://github.com/dthuerck/mapmap_cpucd mapmap_cpu && mkdir build && cd build && cmake ..ccmake . and configure the following options (if you want to...):CMAKE_C_COMPILER - command for your C-compiler, e.g. gcc-5CMAKE_CXX_COMPILER - command for your C++-compiler, e.g. g++-5TBB_DIR - path containing TBBConfig.cmakeBUILD_MEMSAVE - determines if the dynamic programming should allocate memory as needed (ON), saving memory but causing slightly longer execution times or preallocate the whole table (OFF)BUILD_DEMO - decides whether the demo from the wiki is built as mapmap_demoBUILD_TEST - decides whether the test suite is built as mapmap_testc and g from ccmake).make (or make -j for parallel build).mapmap_test and/or mapmap_demo (assuming you activated BUILD_TEST and BUILD_DEMO).All prerequisites are provided by tipi.build and the .tipi/deps file, to compile this project simply run :
Where platform is either one of linux, windows, macos or any of the supported environments.
Using mapMAP as a library in your own projectsmapMAP is implemented as a templated, header only library. A simple
will do the trick. Remember that in order to work you need to compile your whole project with C++11 support. All functions and classes are organized in the namespace mapmap.
For the users of GCC, we recommend the following options for the best performance:
-std=c++11 -Wall -march=native -O2 -flto -mfpmath=sse -funroll-loops
As a good starting point, we recommend studying mapmap_demo.cc closely, which is mostly self-explanatory.
mapMAP can be easily used with the tipi.build dependency manager, by adding the following to a .tipi/deps:
{
"dthuerck/mapmap_cpu": { }
}
For extended documentation on building, using and extending mapMAP, please see the integrated wiki.
An example to start with is available in [example-mapmap_cpu](https://github.com/tipi-deps/example-mapmap_cpu) (change the target name appropriately to `linux` or `macos` or `windows`):
```bash
tipi . -t <target>
Our program is licensed under the liberal BSD 3-Clause license included as LICENSE.txt file.
If you decide to use our code or code based on this project in your application, please make sure to cite our HPG 2016 paper:
@inproceedings{Thuerck2016MRF,
title = {A Fast, Massively Parallel Solver for Large, Irregular Pairwise {M}arkov Random Fields},
author = {Thuerck, Daniel and Waechter, Michael and Widmer, Sven and von Buelow, Max and Seemann, Patrick and Pfetsch, Marc E. and Goesele, Michael},
booktitle = {Proceedings of High Performance Graphics 2016},
year = {2016},
}
A PDF reprint is available here: PDF reprint and PDF Supplementary Material.
For any trouble with building, using or extending this software, please use the project's integrated issue tracker. We'll be happy to help you there or discuss feature requests.
Compared with the development version from our HPG paper (cf. below).
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