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2020 – today
- 2024
[j10]Jirí Klepl
, Adam Smelko, Lukás Rozsypal, Martin Krulis:
Abstractions for C++ code optimizations in parallel high-performance applications. Parallel Comput. 121: 103096 (2024)- [c46]Adam Smelko, Martin Krulis, Jirí Klepl:
GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM. GPGPU@PPoPP 2024: 13-18 - [c45]Adam Dingle, Martin Krulis:
Tackling Students' Coding Assignments with LLMs. LLM4CODE@ICSE 2024: 94-101 - [c44]Jirí Klepl, Adam Smelko, Lukás Rozsypal, Martin Krulis:
Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures. PMAM@PPoPP 2024: 42-51 - 2023
- [j9]Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis:
Machine-learning abstractions for component-based self-optimizing systems. Int. J. Softw. Tools Technol. Transf. 25(5): 717-731 (2023) - [j8]Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil, Danylo Khalyeyev, Sebastian Hahner, Stephan Seifermann, Maximilian Walter, Robert Heinrich:
Generating adaptation rule-specific neural networks. Int. J. Softw. Tools Technol. Transf. 25(5): 733-746 (2023) - [c43]Michal Töpfer, Frantisek Plásil, Tomás Bures, Petr Hnetynka, Martin Krulis, Danny Weyns:
Online ML Self-adaptation in Face of Traps. ACSOS 2023: 57-66 - [c42]Petr Hnetynka, Martin Krulis, Michal Töpfer, Tomás Bures:
Modeling Machine Learning Concerns in Collective Adaptive Systems. MODELSWARD 2023: 55-62 - [i4]Michal Töpfer, Frantisek Plásil, Tomás Bures, Petr Hnetynka, Martin Krulis, Danny Weyns:
Online ML Self-adaptation in Face of Traps. CoRR abs/2309.05805 (2023) - [i3]Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis:
Ensemble-based modeling abstractions for modern self-optimizing systems. CoRR abs/2309.05823 (2023) - 2022
- [c41]Michal Töpfer, Milad Abdullah, Martin Krulis, Tomás Bures, Petr Hnetynka:
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. ACSOS-C 2022: 66-69 - [c40]Milad Abdullah, Michal Töpfer, Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil:
Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures. ECSA (Tracks and Workshops) 2022: 370-385 - [c39]Jan Pacovský, Petr Hnetynka, Martin Krulis:
Generalization of Machine-Learning Adaptation in Ensemble-Based Self-adaptive Systems. ECSA (Tracks and Workshops) 2022: 386-401 - [c38]Adam Smelko, Martin Krulis, Miroslav Kratochvíl, Jirí Klepl, Jirí Mayer, Petr Simunek:
Astute Approach to Handling Memory Layouts of Regular Data Structures. ICA3PP 2022: 507-528 - [c37]Tomás Bures, Petr Hnetynka, Martin Krulis, Frantisek Plásil, Danylo Khalyeyev, Sebastian Hahner, Stephan Seifermann, Maximilian Walter, Robert Heinrich:
Attuning Adaptation Rules via a Rule-Specific Neural Network. ISoLA (3) 2022: 215-230 - [c36]Michal Töpfer, Milad Abdullah, Tomás Bures, Petr Hnetynka, Martin Krulis:
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems. ISoLA (3) 2022: 318-334 - [c35]Tomás Bures, Petr Hnetynka, Martin Krulis, Jan Pacovský:
Towards Model-driven Fuzzification of Adaptive Systems Specification. MODELSWARD 2022: 336-343 - [c34]Martin Krulis, Tomás Bures, Petr Hnetynka:
Simdex: A Simulator of a Real Self-adaptive job-dispatching System Backend. SEAMS 2022: 167-173 - [i2]Adam Smelko, Sona Molnárová, Miroslav Kratochvíl, Abhishek Koladiya, Jan Musil, Martin Krulis, Jirí Vondrásek:
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM. CoRR abs/2201.00701 (2022) - 2021
- [j7]David Bednárek, Martin Krulis, Jakub Yaghob:
Letting future programmers experience performance-related tasks. J. Parallel Distributed Comput. 155: 74-86 (2021) - [c33]Adam Smelko, Miroslav Kratochvíl, Martin Krulis, Tomás Sieger:
GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis. Euro-Par 2021: 580-595 - [i1]Tomás Bures, Petr Hnetynka, Martin Krulis, Danylo Khalyeyev, Sebastian Hahner, Stephan Seifermann, Maximilian Walter, Robert Heinrich:
Towards fuzzification of adaptation rules in self-adaptive architectures. CoRR abs/2112.09468 (2021) - 2020
- [c32]Martin Krulis, Miroslav Kratochvíl:
Detailed Analysis and Optimization of CUDA K-means Algorithm. ICPP 2020: 69:1-69:11
2010 – 2019
- 2019
- [j6]David Honzátko, Martin Krulis:
Accelerating block-matching and 3D filtering method for image denoising on GPUs. J. Real Time Image Process. 16(6): 2273-2287 (2019) - 2018
- [c31]Emanuel Buzek, Martin Krulis:
An Entertaining Approach to Parallel Programming Education. IPDPS Workshops 2018: 340-346 - 2017
- [j5]David Bednárek, Michal Brabec, Martin Krulis:
Improving matrix-based dynamic programming on massively parallel accelerators. Inf. Syst. 64: 175-193 (2017) - [j4]Martin Krulis, Hasmik Osipyan, Stéphane Marchand-Maillet:
Employing GPU architectures for permutation-based indexing. Multim. Tools Appl. 76(9): 11859-11887 (2017) - [c30]David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral:
Player Performance Evaluation in Team-Based First-Person Shooter eSport. DATA (Revised Selected Papers) 2017: 154-175 - [c29]David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral:
Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive. DATA 2017: 269-276 - 2016
- [j3]Martin Krulis, Jakub Lokoc, Tomás Skopal:
Efficient extraction of clustering-based feature signatures using GPU architectures. Multim. Tools Appl. 75(13): 8071-8103 (2016) - [c28]David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral:
Creating Distributed Execution Plans with BobolangNG. ICA3PP 2016: 88-97 - 2015
- [j2]Zbynek Falt, Martin Krulis, David Bednárek, Jakub Yaghob, Filip Zavoral:
Towards Efficient Locality Aware Parallel Data Stream Processing. J. Univers. Comput. Sci. 21(6): 816-841 (2015) - [c27]Martin Krulis, Hasmik Osipyan, Stéphane Marchand-Maillet:
Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs. ADBIS (Short Papers and Workshops) 2015: 305-317 - [c26]Martin Krulis, Hasmik Osipyan, Stéphane Marchand-Maillet:
Permutation based indexing for high dimensional data on GPU architectures. CBMI 2015: 1-6 - [c25]Martin Krulis:
Critical Evaluation of Existing External Sorting Methods in the Perspective of Modern Hardware. DATESO 2015: 77-88 - [c24]Hasmik Osipyan, Martin Krulis, Stéphane Marchand-Maillet:
A Survey of CUDA-based Multidimensional Scaling on GPU Architecture. ICCSW 2015: 37-45 - [c23]Martin Krulis, David Bednárek, Zbynek Falt, Jakub Yaghob, Filip Zavoral:
Towards Semi-automated Parallelization of Data Stream Processing. IDC 2015: 235-245 - [c22]Martin Krulis, Petr Stefan, Jakub Yaghob, Filip Zavoral:
Assessing Applicability of Power-Efficient Embedded Devices for Micro-Cloud Computing. ITAT 2015: 17-22 - [c21]Martin Krulis, David Bednárek, Michal Brabec:
Improving Parallel Processing of Matrix-Based Similarity Measures on Modern GPUs. SISAP 2015: 283-294 - [c20]Martin Krulis:
Is There a Free Lunch for Image Feature Extraction in Web Applications. SISAP 2015: 323-331 - [c19]Petra Galuscáková, Michal Batko, Martin Krulis, Jakub Lokoc, David Novák, Pavel Pecina:
CUNI at TRECVID 2015: Video Hyperlinking Task. TRECVID 2015 - 2014
- [c18]Martin Krulis, Zbynek Falt, Filip Zavoral:
Exploiting HTML5 Technologies for Distributed Parasitic Web Storge. DATESO 2014: 71-80 - [c17]Jakub Yaghob, David Bednárek, Martin Krulis, Filip Zavoral:
Column-Oriented Data Store for Astrophysical Data. DEXA Workshops 2014: 258-262 - [c16]Zbynek Falt, David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral:
Bobolang: a language for parallel streaming applications. HPDC 2014: 311-314 - [c15]Zbynek Falt, Martin Krulis, David Bednárek, Jakub Yaghob, Filip Zavoral:
Locality Aware Task Scheduling in Parallel Data Stream Processing. IDC 2014: 331-342 - [c14]David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral:
Employing Evolutionary Algorithms for Classification of Astrophysical Spectra. ITAT 2014: 7-12 - [c13]Filip Zavoral, Jakub Yaghob, David Bednárek, Martin Krulis:
Contemplating Efficiency of the ROOT File Format for Data Intensive Simulations in Particle Physics. ITAT 2014: 97-101 - [c12]Petra Galuscáková, Martin Krulis, Jakub Lokoc, Pavel Pecina:
CUNI at MediaEval 2014 Search and Hyperlinking Task: Visual and Prosodic Features in Hyperlinking. MediaEval 2014 - [c11]Martin Krulis, Steffen Kirchhoff, Jakub Yaghob:
Perils of Combining Parallel Distance Computations with Metric and Ptolemaic Indexing in kNN Queries. SISAP 2014: 127-138 - [c10]Martin Krulis, David Bednárek, Jakub Yaghob, Filip Zavoral:
Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics. SISAP 2014: 229-240 - 2013
- [c9]Martin Krulis, Miroslav Cermák, Zbynek Falt, Jakub Yaghob:
Revize metod externího třídění pro moderní hardware. ITAT 2013: 65-68 - [c8]Zbynek Falt, Martin Krulis, Jakub Yaghob:
Bobolang - jazyk pro systém Bobox. ITAT 2013: 75-81 - [c7]Martin Krulis, Jakub Lokoc, Tomás Skopal:
Efficient Extraction of Feature Signatures Using Multi-GPU Architecture. MMM (2) 2013: 446-456 - 2012
- [j1]Martin Krulis, Tomás Skopal, Jakub Lokoc, Christian Beecks:
Combining CPU and GPU architectures for fast similarity search. Distributed Parallel Databases 30(3-4): 179-207 (2012) - [c6]Jakub Galgonek, Martin Krulis, David Hoksza:
On the Parallelization of the SProt Measure and the TM-Score Algorithm. Euro-Par Workshops 2012: 238-247 - 2011
- [c5]Martin Krulis, Jakub Lokoc, Christian Beecks, Tomás Skopal, Thomas Seidl:
Processing the signature quadratic form distance on many-core GPU architectures. CIKM 2011: 2373-2376 - [c4]Martin Krulis, Jakub Yaghob:
Revision of Relational Joins for Multi-Core and Many-Core Architectures. DATESO 2011: 229-240 - 2010
- [c3]Martin Krulis, Jakub Yaghob:
Efficient Implementation of XPath Processor on Multi-Core CPUs. DATESO 2010: 60-71 - [c2]Martin Krulis, Jakub Yaghob:
The Location Path to Hell Is Paved With Unoptimized Axes: XPath Implementation Tips. NDT (2) 2010: 474-487 - [c1]Jakub Galgonek, Tomás Knap, Martin Krulis, Martin Necaský:
SMILE - A Framework for Semantic Applications. OTM Workshops 2010: 53-54
Coauthor Index
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last updated on 2024-10-16 20:33 CEST by the dblp team
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