Block Matrix library Wiki
Highly efficient implementation of BLAS for sparse block matrices.
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The SpGEMM code
Looking for the SpGEMM() code from our HPC 2015 paper? Its release was delayed by some unease in licensing agreements but it will be released shortly. Please do not hesitate to contact us about it.
Block Matrix library
ÜberBlockMatrix is an efficient implementation of a linear algebra library for sparse block matrices with BLAS-like functionality. It is written in C++ and it provides very fast solutions to manipulate block matrices. It currently depends on Eigen and partially also on CSparse (for AMD ordering and some shared data structures), but we are working on making it more stand-alone.
GPU acceleration is underway, you can check out the "gpu" branch in the code.
Acknowledgements
The research leading to these results has received funding from the EU 7th FP, grants 316564-IMPART and 247772-SRS, Artemis JU grant 100233-R3-COP, and the IT4Innovations Centre of Excellence, grant n. CZ.1.05/1.1.00/02.0070, supported by Operational Programme Research and Development for Innovations funded by Structural Funds of the European Union and the state budget of the Czech Republic.
We publish
If you want to read more about what's going on in our library, you can read our papers. If you are publishing a work based on ours, please cite these.
L. Polok, V. Ila, M. Solony, P. Smrz and P. Zemcik, "Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics," in Proceedings of Robotics: Science and Systems 2013, MIT Press, 2013
L. Polok, M. Solony, V. Ila, P. Smrz and P. Zemcik, "Incremental Cholesky Factorization for Least Squares Problems in Robotics," in Proceedings of The 2013 IFAC Intelligent Autonomous Vehicles Symposium, IFAC, 2013.
L. Polok, M. Solony, V. Ila, P. Zemcik, and P. Smrz, "Efficient implementation for block matrix operations for nonlinear least squares problems in robotic applications," in Proceedings of the IEEE International Conference on Robotics and Automation, IEEE, 2013.
L. Polok, V. Ila and P. Smrz, "Cache Efficient Implementation for Block Matrix Operations," in Proceedings of the 21st High Performance Computing Symposia (HPC'13), SCS, 2013.
Project Admins:
Viorela Ila's homepage
Lukas Polok's homepage
