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| Research |
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| Research Projects |
Parallel Algorithms for Sparse Matrices
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| Research Interests |
parallel algorithms, sparse matrices, memory optimal formats for sparse matrices, sparse matrix visualization, C++ metaprogramming
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| Personal |
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| Education |
Czech Technical University in Prague, Faculty of Electrical Engineering
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| Skills |
C++, MPI, HPC, Generic Programming, Metaprograming
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Languages
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Czech, English
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| Recent Publications |
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| Langr, D., et al., Fake run-time selection of template arguments in C++ |
Lecture Notes in Computer Science, 7304, p.p. 140-154, 2012.
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Langr D., et al., Adaptive-Blocking Hierarchical Storage Format for Sparse Matrices
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In Proceedings of FedCSIS'12, p.p. 545-551, 2012.
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Significant Publications
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| Draayer, J.P., et al., Symmetry-adapted no-core shell model applications for light nuclei with QCD-inspired interactions |
Progress in Particle and Nuclear Physics, 67(2), p.p. 516-520, 2012.
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