Efficient Implementation of XPath Processor on Multi-Core CPUs. - Martin Krulis; Jakub Yaghob (DATESO, 2010)

The Location Path to Hell Is Paved With Unoptimized Axes: XPath Implementation Tips. - Martin Krulis; Jakub Yaghob (NDT (2), 2010)

SMILE - A Framework for Semantic Applications. - Jakub Galgonek; Tomás Knap; Martin Krulis; Martin Necaský (OTM Workshops, 2010)

Processing the signature quadratic form distance on many-core GPU architectures. - Martin Krulis; Jakub Lokoc; Christian Beecks; Tomás Skopal; Thomas Seidl 001 (CIKM, 2011)

Revision of Relational Joins for Multi-Core and Many-Core Architectures. - Martin Krulis; Jakub Yaghob (DATESO, 2011)

On the Parallelization of the SProt Measure and the TM-Score Algorithm. - Jakub Galgonek; Martin Krulis; David Hoksza (Euro-Par Workshops, 2012)

Combining CPU and GPU architectures for fast similarity search. - Martin Krulis; Tomás Skopal; Jakub Lokoc; Christian Beecks (Distributed Parallel Databases, 2012)

Bobolang - jazyk pro systém Bobox. - Zbynek Falt; Martin Krulis; Jakub Yaghob (ITAT, 2013)

Revize metod externího třídění pro moderní hardware. - Martin Krulis; Miroslav Cermák; Zbynek Falt; Jakub Yaghob (ITAT, 2013)

Efficient Extraction of Feature Signatures Using Multi-GPU Architecture. - Martin Krulis; Jakub Lokoc; Tomás Skopal (MMM (2), 2013)

Exploiting HTML5 Technologies for Distributed Parasitic Web Storge. - Martin Krulis; Zbynek Falt; Filip Zavoral (DATESO, 2014)

Column-Oriented Data Store for Astrophysical Data. - Jakub Yaghob; David Bednárek; Martin Krulis; Filip Zavoral (DEXA Workshops, 2014)

Bobolang: a language for parallel streaming applications. - Zbynek Falt; David Bednárek; Martin Krulis; Jakub Yaghob; Filip Zavoral (HPDC, 2014)

Locality Aware Task Scheduling in Parallel Data Stream Processing. - Zbynek Falt; Martin Krulis; David Bednárek; Jakub Yaghob; Filip Zavoral (IDC, 2014)

Employing Evolutionary Algorithms for Classification of Astrophysical Spectra. - David Bednárek; Martin Krulis; Jakub Yaghob; Filip Zavoral (ITAT, 2014)

Contemplating Efficiency of the ROOT File Format for Data Intensive Simulations in Particle Physics. - Filip Zavoral; Jakub Yaghob; David Bednárek; Martin Krulis (ITAT, 2014)

CUNI at MediaEval 2014 Search and Hyperlinking Task: Visual and Prosodic Features in Hyperlinking. - Petra Galuscáková; Martin Krulis; Jakub Lokoc; Pavel Pecina (MediaEval, 2014)

Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics. - Martin Krulis; David Bednárek; Jakub Yaghob; Filip Zavoral (SISAP, 2014)

Perils of Combining Parallel Distance Computations with Metric and Ptolemaic Indexing in kNN Queries. - Martin Krulis; Steffen Kirchhoff; Jakub Yaghob (SISAP, 2014)

Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs. - Martin Krulis; Hasmik Osipyan; Stéphane Marchand-Maillet (ADBIS (Short Papers and Workshops), 2015)

Permutation based indexing for high dimensional data on GPU architectures. - Martin Krulis; Hasmik Osipyan; Stéphane Marchand-Maillet (CBMI, 2015)

Critical Evaluation of Existing External Sorting Methods in the Perspective of Modern Hardware. - Martin Krulis (DATESO, 2015)

A Survey of CUDA-based Multidimensional Scaling on GPU Architecture. - Hasmik Osipyan; Martin Krulis; Stéphane Marchand-Maillet (ICCSW, 2015)

Towards Semi-automated Parallelization of Data Stream Processing. - Martin Krulis; David Bednárek; Zbynek Falt; Jakub Yaghob; Filip Zavoral (IDC, 2015)

Assessing Applicability of Power-Efficient Embedded Devices for Micro-Cloud Computing. - Martin Krulis; Petr Stefan; Jakub Yaghob; Filip Zavoral (ITAT, 2015)

Is There a Free Lunch for Image Feature Extraction in Web Applications. - Martin Krulis (SISAP, 2015)

Improving Parallel Processing of Matrix-Based Similarity Measures on Modern GPUs. - Martin Krulis; David Bednárek; Michal Brabec (SISAP, 2015)

CUNI at TRECVID 2015: Video Hyperlinking Task. - Petra Galuscáková; Michal Batko; Martin Krulis; Jakub Lokoc; David Novák; Pavel Pecina (TRECVID, 2015)

Towards Efficient Locality Aware Parallel Data Stream Processing. - Zbynek Falt; Martin Krulis; David Bednárek; Jakub Yaghob; Filip Zavoral (J. Univers. Comput. Sci., 2015)

Creating Distributed Execution Plans with BobolangNG. - David Bednárek; Martin Krulis; Jakub Yaghob; Filip Zavoral (ICA3PP, 2016)

Efficient extraction of clustering-based feature signatures using GPU architectures. - Martin Krulis; Jakub Lokoc; Tomás Skopal (Multim. Tools Appl., 2016)

Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive. - David Bednárek; Martin Krulis; Jakub Yaghob; Filip Zavoral (DATA, 2017)

Player Performance Evaluation in Team-Based First-Person Shooter eSport. - David Bednárek; Martin Krulis; Jakub Yaghob; Filip Zavoral (DATA (Revised Selected Papers), 2017)

Improving matrix-based dynamic programming on massively parallel accelerators. - David Bednárek; Michal Brabec; Martin Krulis (Inf. Syst., 2017)

Employing GPU architectures for permutation-based indexing. - Martin Krulis; Hasmik Osipyan; Stéphane Marchand-Maillet (Multim. Tools Appl., 2017)

An Entertaining Approach to Parallel Programming Education. - Emanuel Buzek; Martin Krulis (IPDPS Workshops, 2018)

Accelerating block-matching and 3D filtering method for image denoising on GPUs. - David Honzátko; Martin Krulis (J. Real Time Image Process., 2019)

Detailed Analysis and Optimization of CUDA K-means Algorithm. - Martin Krulis; Miroslav Kratochvíl (ICPP, 2020)

GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis. - Adam Smelko; Miroslav Kratochvíl; Martin Krulis; Tomás Sieger (Euro-Par, 2021)

Towards fuzzification of adaptation rules in self-adaptive architectures. - Tomás Bures; Petr Hnetynka; Martin Krulis; Danylo Khalyeyev; Sebastian Hahner; Stephan Seifermann; Maximilian Walter; Robert Heinrich (CoRR, 2021)

Letting future programmers experience performance-related tasks. - David Bednárek; Martin Krulis; Jakub Yaghob (J. Parallel Distributed Comput., 2021)

ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. - Michal Töpfer; Milad Abdullah; Martin Krulis; Tomás Bures; Petr Hnetynka (ACSOS-C, 2022)

Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures. - Milad Abdullah; Michal Töpfer; Tomás Bures; Petr Hnetynka; Martin Krulis; Frantisek Plásil (ECSA (Tracks and Workshops), 2022)

Generalization of Machine-Learning Adaptation in Ensemble-Based Self-adaptive Systems. - Jan Pacovský; Petr Hnetynka; Martin Krulis (ECSA (Tracks and Workshops), 2022)

Astute Approach to Handling Memory Layouts of Regular Data Structures. - Adam Smelko; Martin Krulis; Miroslav Kratochvíl; Jirí Klepl; Jirí Mayer; Petr Simunek (ICA3PP, 2022)

Attuning Adaptation Rules via a Rule-Specific Neural Network. - Tomás Bures; Petr Hnetynka; Martin Krulis; Frantisek Plásil; Danylo Khalyeyev; Sebastian Hahner; Stephan Seifermann; Maximilian Walter; Robert Heinrich (ISoLA (3), 2022)

Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems. - Michal Töpfer; Milad Abdullah; Tomás Bures; Petr Hnetynka; Martin Krulis (ISoLA (3), 2022)

Towards Model-driven Fuzzification of Adaptive Systems Specification. - Tomás Bures; Petr Hnetynka; Martin Krulis; Jan Pacovský (MODELSWARD, 2022)

Simdex: A Simulator of a Real Self-adaptive job-dispatching System Backend. - Martin Krulis; Tomás Bures; Petr Hnetynka (SEAMS, 2022)

Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM. - Adam Smelko; Sona Molnárová; Miroslav Kratochvíl; Abhishek Koladiya; Jan Musil; Martin Krulis; Jirí Vondrásek (CoRR, 2022)

Online ML Self-adaptation in Face of Traps. - Michal Töpfer; Frantisek Plásil; Tomás Bures; Petr Hnetynka; Martin Krulis; Danny Weyns (ACSOS, 2023)

Modeling Machine Learning Concerns in Collective Adaptive Systems. - Petr Hnetynka; Martin Krulis; Michal Töpfer; Tomás Bures (MODELSWARD, 2023)

Generating adaptation rule-specific neural networks. - Tomás Bures; Petr Hnetynka; Martin Krulis; Frantisek Plásil; Danylo Khalyeyev; Sebastian Hahner; Stephan Seifermann; Maximilian Walter; Robert Heinrich (Int. J. Softw. Tools Technol. Transf., 2023)

Machine-learning abstractions for component-based self-optimizing systems. - Michal Töpfer; Milad Abdullah; Tomás Bures; Petr Hnetynka; Martin Krulis (Int. J. Softw. Tools Technol. Transf., 2023)

GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM. - Adam Smelko; Martin Krulis; Jirí Klepl (GPGPU@PPoPP, 2024)

Tackling Students' Coding Assignments with LLMs. - Adam Dingle; Martin Krulis (LLM4CODE@ICSE, 2024)

Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures. - Jirí Klepl; Adam Smelko; Lukás Rozsypal; Martin Krulis (PMAM@PPoPP, 2024)

Abstractions for C++ code optimizations in parallel high-performance applications. - Jirí Klepl; Adam Smelko; Lukás Rozsypal; Martin Krulis (Parallel Comput., 2024)

Tutoring LLM into a Better CUDA Optimizer. - Matyás Brabec; Jirí Klepl; Michal Töpfer; Martin Krulis (Euro-Par (2), 2025)

Slaying a Life: Optimizing GPU-accelerated Game of Life Stencil. - Matyás Brabec; Jirí Klepl; Martin Krulis (IPDPS (Workshops), 2025)

Efficient GPU-accelerated parallel cross-correlation. - Karel Madera; Adam Smelko; Martin Krulis (J. Parallel Distributed Comput., 2025)