Analytical Modeling of Optimized Sparse Linear Code. - Pavel Tvrdík; Ivan Simecek (PPAM, 2003)

Analytical Model for Analysis of Cache Behavior during Cholesky Factorization and Its Variants. - Ivan Simecek; Pavel Tvrdík (ICPP Workshops, 2004)

Performance Optimization and Evaluation for Linear Codes. - Pavel Tvrdík; Ivan Simecek (NAA, 2004)

A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices. - Pavel Tvrdík; Ivan Simecek (PPAM, 2005)

A New Approach for Accelerating the Sparse Matrix-Vector Multiplication. - Pavel Tvrdík; Ivan Simecek (SYNASC, 2006)

Sparse Matrix-Vector Multiplication - Final Solution?. - Ivan Simecek; Pavel Tvrdík (PPAM, 2007)

Sparse Matrix Computations Using the Quadtree Storage Format. - Ivan Simecek (SYNASC, 2009)

A New Approach for Indexing Powder Diffraction Data Based on Dichotomy Method. - Ivan Simecek (CSE, 2012)

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)

A New Approach for Indexing Powder Diffraction Data Suitable for GPGPU Execution. - Ivan Simecek (SOCO, 2012)

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

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

Dynamic loop reversal - the new code transformation technique. - 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)

A new code transformation technique for nested loops. - Ivan Simecek; Pavel Tvrdík (Comput. Sci. Inf. Syst., 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)

GPU Solver for Systems of Linear Equations with Infinite Precision. - Jiri Khun; Ivan Simecek; Róbert Lórencz (SYNASC, 2015)

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)

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

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

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

Effective Construction of Convex Hull Algorithms. - Peter Mitura; Ivan Simecek; Ivan Kotenkov (SYNASC, 2017)

Improved Corners with Multi-Channel Signed Distance Fields. - Viktor Chlumský; Jaroslav Sloup; Ivan Simecek (Comput. Graph. Forum, 2018)

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

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

Joint direct and transposed sparse matrix-vector multiplication for multithreaded CPUs. - Claudio Kozický; Ivan Simecek (Concurr. Comput. Pract. Exp., 2021)

A parallel algorithm for approximating the silhouette using a ball tree. - Ivan Simecek; Claudio Kozický (J. Parallel Distributed Comput., 2023)

Design of a modern fast Fourier transform and cache effective bit-reversal algorithm. - Adam Simek; Ivan Simecek (Int. J. Parallel Emergent Distributed Syst., 2023)

PPQSort: Pattern Parallel Quicksort. - Gabriel Hévr; Ivan Simecek (PPAM (1), 2024)

Parallel CRC optimisations on the x64 architecture: a per-partes method. - Jirí Kaspar; Ivan Simecek (Int. J. Parallel Emergent Distributed Syst., 2024)