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Daniel Langr
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2020 – today
- 2024
- [j16]Daniel Langr
, Tomás Dytrych:
Parallel multithreaded deduplication of data sequences in nuclear structure calculations. Int. J. High Perform. Comput. Appl. 38(1): 5-16 (2024) - 2022
- [j15]Daniel Langr
, Klára Schovánková:
CPP11sort: A parallel quicksort based on C++ threading. Concurr. Comput. Pract. Exp. 34(4) (2022) - [j14]Alexis Mercenne
, Kristina D. Launey
, Tomás Dytrych
, Jutta E. Escher, Sofia Quaglioni, Grigor H. Sargsyan
, Daniel Langr
, Jerry P. Draayer:
Efficacy of the symmetry-adapted basis for ab initio nucleon-nucleus interactions for light- and intermediate-mass nuclei. Comput. Phys. Commun. 280: 108476 (2022) - [c19]Daniel Langr
, Tomás Dytrych
:
Parallel Identification of Unique Sequences in Nuclear Structure Calculations. PPAM (2) 2022: 357-369 - 2021
- [j13]Tomás Dytrych
, Daniel Langr
, Jerry P. Draayer, Kristina D. Launey, Daniel Gazda
:
SU3lib: A C++ library for accurate computation of Wigner and Racah coefficients of SU(3). Comput. Phys. Commun. 269: 108137 (2021) - 2020
- [j12]Daniel Langr
, Martin Kocicka:
Reducing the Impact of Intensive Dynamic Memory Allocations in Parallel Multi-Threaded Programs. IEEE Trans. Parallel Distributed Syst. 31(5): 1152-1164 (2020) - [c18]Ivan Simecek
, Claudio Kozický
, Daniel Langr
, Pavel Tvrdík:
Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors. HPDC 2020: 29-33
2010 – 2019
- 2019
- [j11]Daniel Langr
, Tomás Dytrych, Jerry P. Draayer, Kristina D. Launey
, Pavel Tvrdík:
Efficient algorithm for representations of U(3) in U(N). Comput. Phys. Commun. 244: 442-447 (2019) - [j10]Daniel Langr
, Tomás Dytrych, Kristina D. Launey
, Jerry P. Draayer:
Accelerating many-nucleon basis generation for high performance computing enabled ab initio nuclear structure studies. Int. J. High Perform. Comput. Appl. 33(3) (2019) - 2018
- [j9]Daniel Langr
, Ivan Simecek
:
Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks. Scalable Comput. Pract. Exp. 19(3): 275-292 (2018) - 2017
- [c17]Daniel Langr
, Ivan Simecek
:
On Memory Footprints of Partitioned Sparse Matrices. FedCSIS 2017: 513-521 - [c16]Ivan Simecek
, Daniel Langr
, Ivan Kotenkov:
Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs. PPAM (1) 2017: 47-56 - [c15]Daniel Langr
, Tomás Dytrych, Tomás Oberhuber
, Frantisek Knapp
:
Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations. PPAM (2) 2017: 341-350 - 2016
- [j8]Ivan Simecek, Richard Fritsch, Daniel Langr, Róbert Lórencz:
Parallel Solver of Large Systems of Linear Inequalities Using Fourier-Motzkin Elimination. Comput. Informatics 35(6): 1307-1337 (2016) - [j7]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:
Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei. Comput. Phys. Commun. 207: 202-210 (2016) - [j6]Daniel Langr
, Pavel Tvrdík, Ivan Simecek
:
AQsort: Scalable Multi-Array In-Place Sorting with OpenMP. Scalable Comput. Pract. Exp. 17(4): 369-391 (2016) - [j5]Daniel Langr
, Pavel Tvrdík:
Evaluation Criteria for Sparse Matrix Storage Formats. IEEE Trans. Parallel Distributed Syst. 27(2): 428-440 (2016) - [c14]Daniel Langr
, Ivan Simecek
, Tomás Dytrych:
Block Iterators for Sparse Matrices. FedCSIS 2016: 695-704 - [c13]Ivan Simecek
, Daniel Langr
:
Efficient parallel evaluation of block properties of sparse matrices. FedCSIS 2016: 709-716 - [i3]Daniel Langr:
On Memory Footprints of Partitioned Sparse Matrices. CoRR abs/1609.04585 (2016) - 2015
- [j4]Daniel Langr
, Pavel Tvrdík, Ivan Simecek
, Tomás Dytrych:
Downsampling Algorithms for Large Sparse Matrices. Int. J. Parallel Program. 43(5): 679-702 (2015) - [c12]Ivan Simecek
, Daniel Langr
:
Space and Execution Efficient Formats for Modern Processor Architectures. SYNASC 2015: 98-105 - 2014
- [j3]Daniel Langr
, Ivan Simecek
, Pavel Tvrdík, Tomás Dytrych:
Large-Scale Visualization of Sparse Matrices. Scalable Comput. Pract. Exp. 15(1) (2014) - [j2]Ivan Simecek
, Daniel Langr
:
Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices. Scalable Comput. Pract. Exp. 15(1) (2014) - [j1]Daniel Langr
, Pavel Tvrdík, Tomás Dytrych, Jerry P. Draayer:
Algorithm 947: Paraperm - Parallel Generation of Random Permutations with MPI. ACM Trans. Math. Softw. 41(1): 5:1-5:26 (2014) - [c11]Ivan Simecek
, Daniel Langr
, Jan Trdlicka:
Efficient Converting of Large Sparse Matrices to Quadtree Format. SYNASC 2014: 122-129 - [i2]Daniel Langr, Ivan Simecek, Pavel Tvrdík:
Loading Large Sparse Matrices Stored in Files in the Adaptive-Blocking Hierarchical Storage Format. CoRR abs/1412.8299 (2014) - 2013
- [c10]Daniel Langr, Ivan Simecek, Pavel Tvrdík:
Storing Sparse Matrices to Files in the Adaptive-Blocking Hierarchical Storage Format. FedCSIS 2013: 479-486 - [c9]Daniel Langr
, Ivan Simecek
, Pavel Tvrdík, Tomás Dytrych:
Scalable Parallel Generation of Very Large Sparse Benchmark Matrices. PPAM (1) 2013: 178-187 - [c8]Ivan Simecek
, Daniel Langr
, Erik Srnec:
The Study of Impact of Matrix-Processor Mapping on the Parallel Sparse Matrix-Vector Multiplication. SYNASC 2013: 321-328 - [c7]Daniel Langr
, Ivan Simecek
, Pavel Tvrdík, Tomás Dytrych:
Parallel Data Acquisition for Visualization of Very Large Sparse Matrices. SYNASC 2013: 336-343 - [c6]Ivan Simecek
, Daniel Langr
, Pavel Tvrdík:
Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures. SYNASC 2013: 344-351 - [i1]Daniel Langr, Pavel Tvrdík, Tomás Dytrych, Jerry P. Draayer:
Fake Run-Time Selection of Template Arguments in C++. CoRR abs/1306.5142 (2013) - 2012
- [c5]Daniel Langr, Ivan Simecek, Pavel Tvrdík, Tomás Dytrych, Jerry P. Draayer:
Adaptive-Blocking Hierarchical Storage Format for Sparse Matrices. FedCSIS 2012: 545-551 - [c4]Ivan Simecek
, Daniel Langr
, Pavel Tvrdík:
Space-efficient Sparse Matrix Storage Formats for Massively Parallel Systems. HPCC-ICESS 2012: 54-60 - [c3]Ivan Simecek
, Daniel Langr
, Pavel Tvrdík:
Minimal Quadtree Format for Compression of Sparse Matrices Storage. SYNASC 2012: 359-364 - [c2]Daniel Langr
, Pavel Tvrdík, Tomás Dytrych, Jerry P. Draayer:
Fake Run-Time Selection of Template Arguments in C++. TOOLS (50) 2012: 140-154
2000 – 2009
- 2005
- [c1]Martin Kacer, Daniel Langr
, Pavel Tvrdík:
Clondike: Linux cluster of non-dedicated workstations. CCGRID 2005: 574-581
Coauthor Index
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last updated on 2024-05-10 18:57 CEST by the dblp team
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