Ivan Simecek

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 17

Top Topics

Sparse Matrices

Top Venues

Scalable Comput. Pract. Exp.

Int. J. Parallel Emergent Distributed Syst.

Publications

Jirí Kaspar, Ivan Simecek
Parallel CRC optimisations on the x64 architecture: a per-partes method. Int. J. Parallel Emergent Distributed Syst. 39 (3) (2024)
Adam Simek, Ivan Simecek
Design of a modern fast Fourier transform and cache effective bit-reversal algorithm. Int. J. Parallel Emergent Distributed Syst. 38 (3) (2023)
Ivan Simecek, Claudio Kozický
A parallel algorithm for approximating the silhouette using a ball tree. J. Parallel Distributed Comput. 173 (2023)
Claudio Kozický, Ivan Simecek
Joint direct and transposed sparse matrix-vector multiplication for multithreaded CPUs. Concurr. Comput. Pract. Exp. 33 (13) (2021)
Ivan Simecek, Claudio Kozický, Daniel Langr, Pavel Tvrdík
Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors. HPDC (2020)
Viktor Chlumský, Jaroslav Sloup, Ivan Simecek
Improved Corners with Multi-Channel Signed Distance Fields. Comput. Graph. Forum 37 (1) (2018)
Daniel Langr, Ivan Simecek
Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks. Scalable Comput. Pract. Exp. 19 (3) (2018)
Ivan Simecek, Daniel Langr, Ivan Kotenkov
Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs. PPAM (1) (2017)
Peter Mitura, Ivan Simecek, Ivan Kotenkov
Effective Construction of Convex Hull Algorithms. SYNASC (2017)
Daniel Langr, Ivan Simecek
On Memory Footprints of Partitioned Sparse Matrices. FedCSIS (2017)
Daniel Langr, Ivan Simecek, Tomás Dytrych
Block Iterators for Sparse Matrices. FedCSIS (2016)
Ivan Simecek, Richard Fritsch, Daniel Langr, Róbert Lórencz
Parallel Solver of Large Systems of Linear Inequalities Using Fourier-Motzkin Elimination. Comput. Informatics 35 (6) (2016)
Ivan Simecek, Daniel Langr
Efficient parallel evaluation of block properties of sparse matrices. FedCSIS (2016)
Daniel Langr, Pavel Tvrdík, Ivan Simecek
AQsort: Scalable Multi-Array In-Place Sorting with OpenMP. Scalable Comput. Pract. Exp. 17 (4) (2016)
Daniel Langr, Pavel Tvrdík, Ivan Simecek, Tomás Dytrych
Downsampling Algorithms for Large Sparse Matrices. Int. J. Parallel Program. 43 (5) (2015)
Ivan Simecek, Daniel Langr
Space and Execution Efficient Formats for Modern Processor Architectures. SYNASC (2015)
Jiri Khun, Ivan Simecek, Róbert Lórencz
GPU Solver for Systems of Linear Equations with Infinite Precision. SYNASC (2015)
Daniel Langr, Ivan Simecek, Pavel Tvrdík
Loading Large Sparse Matrices Stored in Files in the Adaptive-Blocking Hierarchical Storage Format. CoRR (2014)
Ivan Simecek, Daniel Langr
Tree-based Space Efficient Formats for Storing the Structure of Sparse Matrices. Scalable Comput. Pract. Exp. 15 (1) (2014)
Ivan Simecek, Daniel Langr, Jan Trdlicka
Efficient Converting of Large Sparse Matrices to Quadtree Format. SYNASC (2014)
Daniel Langr, Ivan Simecek, Pavel Tvrdík, Tomás Dytrych
Large-Scale Visualization of Sparse Matrices. Scalable Comput. Pract. Exp. 15 (1) (2014)
Ivan Simecek, Pavel Tvrdík
A new code transformation technique for nested loops. Comput. Sci. Inf. Syst. 11 (4) (2014)
Daniel Langr, Ivan Simecek, Pavel Tvrdík, Tomás Dytrych
Parallel Data Acquisition for Visualization of Very Large Sparse Matrices. SYNASC (2013)
Ivan Simecek, Daniel Langr, Erik Srnec
The Study of Impact of Matrix-Processor Mapping on the Parallel Sparse Matrix-Vector Multiplication. SYNASC (2013)
Ivan Simecek, Pavel Tvrdík
Dynamic loop reversal - the new code transformation technique. FedCSIS (2013)
Ivan Simecek, Daniel Langr, Pavel Tvrdík
Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures. SYNASC (2013)
Daniel Langr, Ivan Simecek, Pavel Tvrdík, Tomás Dytrych
Scalable Parallel Generation of Very Large Sparse Benchmark Matrices. PPAM (1) (2013)
Daniel Langr, Ivan Simecek, Pavel Tvrdík
Storing Sparse Matrices to Files in the Adaptive-Blocking Hierarchical Storage Format. FedCSIS (2013)
Ivan Simecek, Daniel Langr, Pavel Tvrdík
Space-efficient Sparse Matrix Storage Formats for Massively Parallel Systems. HPCC-ICESS (2012)
Ivan Simecek
A New Approach for Indexing Powder Diffraction Data Based on Dichotomy Method. CSE (2012)
Ivan Simecek, Daniel Langr, Pavel Tvrdík
Minimal Quadtree Format for Compression of Sparse Matrices Storage. SYNASC (2012)
Ivan Simecek
A New Approach for Indexing Powder Diffraction Data Suitable for GPGPU Execution. SOCO (2012)
Daniel Langr, Ivan Simecek, Pavel Tvrdík, Tomás Dytrych, Jerry P. Draayer
Adaptive-Blocking Hierarchical Storage Format for Sparse Matrices. FedCSIS (2012)
Ivan Simecek
Sparse Matrix Computations Using the Quadtree Storage Format. SYNASC (2009)
Ivan Simecek, Pavel Tvrdík
Sparse Matrix-Vector Multiplication - Final Solution?. PPAM (2007)
Pavel Tvrdík, Ivan Simecek
A New Approach for Accelerating the Sparse Matrix-Vector Multiplication. SYNASC (2006)
Pavel Tvrdík, Ivan Simecek
A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices. PPAM (2005)
Pavel Tvrdík, Ivan Simecek
Performance Optimization and Evaluation for Linear Codes. NAA (2004)
Ivan Simecek, Pavel Tvrdík
Analytical Model for Analysis of Cache Behavior during Cholesky Factorization and Its Variants. ICPP Workshops (2004)
Pavel Tvrdík, Ivan Simecek
Analytical Modeling of Optimized Sparse Linear Code. PPAM (2003)