Clondike: Linux cluster of non-dedicated workstations. - Martin Kacer; Daniel Langr; Pavel Tvrdík (CCGRID, 2005)

Adaptive-Blocking Hierarchical Storage Format for Sparse Matrices. - Daniel Langr; Ivan Simecek; Pavel Tvrdík; Tomás Dytrych; Jerry P. Draayer (FedCSIS, 2012)

Space-efficient Sparse Matrix Storage Formats for Massively Parallel Systems. - Ivan Simecek; Daniel Langr; Pavel Tvrdík (HPCC-ICESS, 2012)

Minimal Quadtree Format for Compression of Sparse Matrices Storage. - Ivan Simecek; Daniel Langr; Pavel Tvrdík (SYNASC, 2012)

Fake Run-Time Selection of Template Arguments in C++. - Daniel Langr; Pavel Tvrdík; Tomás Dytrych; Jerry P. Draayer (TOOLS (50), 2012)

Storing Sparse Matrices to Files in the Adaptive-Blocking Hierarchical Storage Format. - Daniel Langr; Ivan Simecek; Pavel Tvrdík (FedCSIS, 2013)

Scalable Parallel Generation of Very Large Sparse Benchmark Matrices. - Daniel Langr; Ivan Simecek; Pavel Tvrdík; Tomás Dytrych (PPAM (1), 2013)

Parallel Data Acquisition for Visualization of Very Large Sparse Matrices. - Daniel Langr; Ivan Simecek; Pavel Tvrdík; Tomás Dytrych (SYNASC, 2013)

The Study of Impact of Matrix-Processor Mapping on the Parallel Sparse Matrix-Vector Multiplication. - Ivan Simecek; Daniel Langr; Erik Srnec (SYNASC, 2013)

Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures. - Ivan Simecek; Daniel Langr; Pavel Tvrdík (SYNASC, 2013)

Efficient Converting of Large Sparse Matrices to Quadtree Format. - Ivan Simecek; Daniel Langr; Jan Trdlicka (SYNASC, 2014)

Loading Large Sparse Matrices Stored in Files in the Adaptive-Blocking Hierarchical Storage Format. - Daniel Langr; Ivan Simecek; Pavel Tvrdík (CoRR, 2014)

Large-Scale Visualization of Sparse Matrices. - Daniel Langr; Ivan Simecek; Pavel Tvrdík; Tomás Dytrych (Scalable Comput. Pract. Exp., 2014)

Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices. - Ivan Simecek; Daniel Langr (Scalable Comput. Pract. Exp., 2014)

Algorithm 947: Paraperm - Parallel Generation of Random Permutations with MPI. - Daniel Langr; Pavel Tvrdík; Tomás Dytrych; Jerry P. Draayer (ACM Trans. Math. Softw., 2014)

Space and Execution Efficient Formats for Modern Processor Architectures. - Ivan Simecek; Daniel Langr (SYNASC, 2015)

Downsampling Algorithms for Large Sparse Matrices. - Daniel Langr; Pavel Tvrdík; Ivan Simecek; Tomás Dytrych (Int. J. Parallel Program., 2015)

Block Iterators for Sparse Matrices. - Daniel Langr; Ivan Simecek; Tomás Dytrych (FedCSIS, 2016)

Efficient parallel evaluation of block properties of sparse matrices. - Ivan Simecek; Daniel Langr (FedCSIS, 2016)

Parallel Solver of Large Systems of Linear Inequalities Using Fourier-Motzkin Elimination. - Ivan Simecek; Richard Fritsch; Daniel Langr; Róbert Lórencz (Comput. Informatics, 2016)

On Memory Footprints of Partitioned Sparse Matrices. - Daniel Langr (CoRR, 2016)

Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei. - Tomás Dytrych; Pieter Maris; Kristina D. Launey; Jerry P. Draayer; James P. Vary; Daniel Langr; Erik Saule; Mark A. Caprio; Ümit V. Çatalyürek; Masha Sosonkina (Comput. Phys. Commun., 2016)

AQsort: Scalable Multi-Array In-Place Sorting with OpenMP. - Daniel Langr; Pavel Tvrdík; Ivan Simecek (Scalable Comput. Pract. Exp., 2016)

Evaluation Criteria for Sparse Matrix Storage Formats. - Daniel Langr; Pavel Tvrdík (IEEE Trans. Parallel Distributed Syst., 2016)

On Memory Footprints of Partitioned Sparse Matrices. - Daniel Langr; Ivan Simecek (FedCSIS, 2017)

Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations. - Daniel Langr; Tomás Dytrych; Tomás Oberhuber; Frantisek Knapp (PPAM (2), 2017)

Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs. - Ivan Simecek; Daniel Langr; Ivan Kotenkov (PPAM (1), 2017)

Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks. - Daniel Langr; Ivan Simecek (Scalable Comput. Pract. Exp., 2018)

Efficient algorithm for representations of U(3) in U(N). - Daniel Langr; Tomás Dytrych; Jerry P. Draayer; Kristina D. Launey; Pavel Tvrdík (Comput. Phys. Commun., 2019)

Accelerating many-nucleon basis generation for high performance computing enabled ab initio nuclear structure studies. - Daniel Langr; Tomás Dytrych; Kristina D. Launey; Jerry P. Draayer (Int. J. High Perform. Comput. Appl., 2019)

Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors. - Ivan Simecek; Claudio Kozický; Daniel Langr; Pavel Tvrdík (HPDC, 2020)

Reducing the Impact of Intensive Dynamic Memory Allocations in Parallel Multi-Threaded Programs. - Daniel Langr; Martin Kocicka (IEEE Trans. Parallel Distributed Syst., 2020)

SU3lib: A C++ library for accurate computation of Wigner and Racah coefficients of SU(3). - Tomás Dytrych; Daniel Langr; Jerry P. Draayer; Kristina D. Launey; Daniel Gazda (Comput. Phys. Commun., 2021)

Parallel Identification of Unique Sequences in Nuclear Structure Calculations. - Daniel Langr; Tomás Dytrych (PPAM (2), 2022)

CPP11sort: A parallel quicksort based on C++ threading. - Daniel Langr; Klára Schovánková (Concurr. Comput. Pract. Exp., 2022)

Efficacy of the symmetry-adapted basis for ab initio nucleon-nucleus interactions for light- and intermediate-mass nuclei. - Alexis Mercenne; Kristina D. Launey; Tomás Dytrych; Jutta E. Escher; Sofia Quaglioni; Grigor H. Sargsyan; Daniel Langr; Jerry P. Draayer (Comput. Phys. Commun., 2022)

Efficient Algorithm for U(N) to U(3) Representation Reduction in Isospin-Adapted Nuclear Structure Calculations. - Daniel Langr; Tomás Dytrych (PPAM (3), 2024)

Parallel multithreaded deduplication of data sequences in nuclear structure calculations. - Daniel Langr; Tomás Dytrych (Int. J. High Perform. Comput. Appl., 2024)