K. Maděra, A. Šmelko, M. Kruliš:
Efficient GPU-accelerated parallel cross-correlation, in Journal of Parallel and Distributed Computing 199, pp. 105054, 2025
DOI: 10.1016/j.jpdc.2025.105054
Efficient GPU-accelerated parallel cross-correlation, in Journal of Parallel and Distributed Computing 199, pp. 105054, 2025
DOI: 10.1016/j.jpdc.2025.105054
J. Klepl, A. Šmelko, L. Rozsypal, M. Kruliš:
Abstractions for C++ code optimizations in parallel high-performance applications, in Parallel Computing 121, pp. 103096, 2024
DOI: 10.1016/j.parco.2024.103096
Abstractions for C++ code optimizations in parallel high-performance applications, in Parallel Computing 121, pp. 103096, 2024
DOI: 10.1016/j.parco.2024.103096
A. Šmelko, M. Kruliš, J. Klepl:
GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM, in 16th Workshop on General Purpose Processing Using GPU, pp. 13–18, 2024
ISBN: 979-8-4007-1817-5, DOI: 10.1145/3649411.3649414
GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM, in 16th Workshop on General Purpose Processing Using GPU, pp. 13–18, 2024
ISBN: 979-8-4007-1817-5, DOI: 10.1145/3649411.3649414
J. Klepl, A. Šmelko, L. Rozsypal, M. Kruliš:
Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures, in Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores, pp. 42–51, 2024
ISBN: 979-8-4007-0599-1, DOI: 10.1145/3649169.3649247
Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures, in Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores, pp. 42–51, 2024
ISBN: 979-8-4007-0599-1, DOI: 10.1145/3649169.3649247
J. Pacovský, P. Hnětynka, M. Kruliš:
Generalization of Machine-Learning Adaptation in Ensemble-Based Self-adaptive Systems, in Proceedings of ECSA 2022 Tracks and Workshops, pp. 386-401, 2023
DOI: 10.1007/978-3-031-36889-9_26
Generalization of Machine-Learning Adaptation in Ensemble-Based Self-adaptive Systems, in Proceedings of ECSA 2022 Tracks and Workshops, pp. 386-401, 2023
DOI: 10.1007/978-3-031-36889-9_26
T. Bureš, P. Hnětynka, M. Kruliš, F. Plášil, D. Khalyeyev, S. Hahner, S. Seifermann, M. Walter, R. Heinrich:
Generating adaptation rule-specific neural network, in International Journal on Software Tools for Technology Transfer 25, pp. 733–746, 2023
DOI: 10.1007/s10009-023-00725-y
Generating adaptation rule-specific neural network, in International Journal on Software Tools for Technology Transfer 25, pp. 733–746, 2023
DOI: 10.1007/s10009-023-00725-y
M. Abdullah, M. Töpfer, T. Bureš, P. Hnětynka, M. Kruliš, F. Plášil:
Introducing Estimators—Abstraction for Easy ML Employment in Self-adaptive Architectures, in Proceedings of ECSA 2022 Tracks and Workshops, pp. 370-385, 2023
DOI: 10.1007/978-3-031-36889-9_25
Introducing Estimators—Abstraction for Easy ML Employment in Self-adaptive Architectures, in Proceedings of ECSA 2022 Tracks and Workshops, pp. 370-385, 2023
DOI: 10.1007/978-3-031-36889-9_25
M. Töpfer, M. Abdullah, T. Bureš, P. Hnětynka, M. Kruliš:
Machine-learning abstractions for component-based self-optimizing systems, in International Journal on Software Tools for Technology Transfer 25, pp. 717–731, 2023
DOI: 10.1007/s10009-023-00726-x
Machine-learning abstractions for component-based self-optimizing systems, in International Journal on Software Tools for Technology Transfer 25, pp. 717–731, 2023
DOI: 10.1007/s10009-023-00726-x
P. Hnětynka, M. Kruliš, M. Töpfer, T. Bureš:
Modeling Machine Learning Concerns in Collective Adaptive Systems:, in Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering, Lisbon, Portugal, pp. 55-62, 2023
ISBN: 978-989-758-633-0, DOI: 10.5220/0011693300003402
Modeling Machine Learning Concerns in Collective Adaptive Systems:, in Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering, Lisbon, Portugal, pp. 55-62, 2023
ISBN: 978-989-758-633-0, DOI: 10.5220/0011693300003402
M. Töpfer, F. Plášil, T. Bureš, P. Hnětynka, M. Kruliš, D. Weyns:
Online ML Self-adaptation in Face of Traps, accepted for publication in Proceedings of ACSOS 2023,Toronto, Canada
Online ML Self-adaptation in Face of Traps, accepted for publication in Proceedings of ACSOS 2023,Toronto, Canada
A. Šmelko, M. Kruliš, M. Kratochvíl, J. Klepl, J. Mayer, P. Šimůnek:
Astute Approach to Handling Memory Layouts of Regular Data Structures, in International Conference on Algorithms and Architectures for Parallel Processing, pp. 507–528, 2022
DOI: 10.1007/978-3-031-22677-9_27
Astute Approach to Handling Memory Layouts of Regular Data Structures, in International Conference on Algorithms and Architectures for Parallel Processing, pp. 507–528, 2022
DOI: 10.1007/978-3-031-22677-9_27
T. Bureš, P. Hnětynka, M. Kruliš, F. Plášil, D. Khalyeyev, S. Hahner, S. Seifermann, M. Walter, R. Heinrich:
Attuning Adaptation Rules via a Rule-Specific Neural Network, in Proceedings of ISOLA 2022, Rhodes, Greece, pp. 215-230, 2022
DOI: 10.1007/978-3-031-19759-8_14
Attuning Adaptation Rules via a Rule-Specific Neural Network, in Proceedings of ISOLA 2022, Rhodes, Greece, pp. 215-230, 2022
DOI: 10.1007/978-3-031-19759-8_14
M. Töpfer, M. Abdullah, T. Bureš, P. Hnětynka, M. Kruliš:
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems, in Proceedings of ISOLA 2022, Rhodes, Greece, pp. 318-334, 2022
DOI: 10.1007/978-3-031-19759-8_20
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems, in Proceedings of ISOLA 2022, Rhodes, Greece, pp. 318-334, 2022
DOI: 10.1007/978-3-031-19759-8_20
M. Töpfer, M. Abdullah, M. Kruliš, T. Bureš, P. Hnětynka:
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components, in Proceedings of ACSOS 2022, Virtual event, 2022
DOI: 10.1109/ACSOSC56246.2022.00033
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components, in Proceedings of ACSOS 2022, Virtual event, 2022
DOI: 10.1109/ACSOSC56246.2022.00033
M. Kruliš, T. Bureš, P. Hnětynka:
Simdex: a simulator of a real self-adaptive job-dispatching system backend, in Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 167–173, 2022
ISBN: 978-1-4503-9305-8, DOI: 10.1145/3524844.3528078
Simdex: a simulator of a real self-adaptive job-dispatching system backend, in Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 167–173, 2022
ISBN: 978-1-4503-9305-8, DOI: 10.1145/3524844.3528078
T. Bureš, P. Hnětynka, M. Kruliš, J. Pacovský:
Towards Model-driven Fuzzification of Adaptive Systems Specification:, in Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development, pp. 336-343, 2022
ISBN: 978-989-758-550-0, DOI: 10.5220/0010910800003119
Towards Model-driven Fuzzification of Adaptive Systems Specification:, in Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development, pp. 336-343, 2022
ISBN: 978-989-758-550-0, DOI: 10.5220/0010910800003119
A. Šmelko, M. Kratochvíl, M. Kruliš, T. Sieger:
GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis, in Euro-Par 2021: Parallel Processing, pp. 580-595, 2021
ISBN: 978-3-030-85665-6, DOI: 10.1007/978-3-030-85665-6_36
GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis, in Euro-Par 2021: Parallel Processing, pp. 580-595, 2021
ISBN: 978-3-030-85665-6, DOI: 10.1007/978-3-030-85665-6_36
D. Bednárek, M. Kruliš, J. Yaghob:
Letting future programmers experience performance-related tasks, in Journal of Parallel and Distributed Computing 155, pp. 74-86, 2021
DOI: 10.1016/j.jpdc.2021.04.014
Letting future programmers experience performance-related tasks, in Journal of Parallel and Distributed Computing 155, pp. 74-86, 2021
DOI: 10.1016/j.jpdc.2021.04.014
M. Kruliš, M. Kratochvíl:
Detailed Analysis and Optimization of CUDA K-means Algorithm, in 49th International Conference on Parallel Processing - ICPP, pp. 1–11, 2020
ISBN: 978-1-4503-8816-0, DOI: 10.1145/3404397.3404426
Detailed Analysis and Optimization of CUDA K-means Algorithm, in 49th International Conference on Parallel Processing - ICPP, pp. 1–11, 2020
ISBN: 978-1-4503-8816-0, DOI: 10.1145/3404397.3404426
D. Honzátko, M. Kruliš:
Accelerating block-matching and 3D filtering method for image denoising on GPUs, in Journal of Real-Time Image Processing 16(6), pp. 2273-2287, 2019
DOI: 10.1007/s11554-017-0737-9
Accelerating block-matching and 3D filtering method for image denoising on GPUs, in Journal of Real-Time Image Processing 16(6), pp. 2273-2287, 2019
DOI: 10.1007/s11554-017-0737-9
E. Buzek, M. Kruliš:
An Entertaining Approach to Parallel Programming Education, in 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 340-346, 2018
DOI: 10.1109/IPDPSW.2018.00065
An Entertaining Approach to Parallel Programming Education, in 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 340-346, 2018
DOI: 10.1109/IPDPSW.2018.00065
D. Bednárek, M. Kruliš, J. Yaghob, F. Zavoral:
Player Performance Evaluation in Team-Based First-Person Shooter eSport, in Data Management Technologies and Applications, pp. 154-175, 2018
ISBN: 978-3-319-94809-6, DOI: 10.1007/978-3-319-94809-6_8
Player Performance Evaluation in Team-Based First-Person Shooter eSport, in Data Management Technologies and Applications, pp. 154-175, 2018
ISBN: 978-3-319-94809-6, DOI: 10.1007/978-3-319-94809-6_8
D. Bednárek, M. Kruliš, J. Yaghob, F. Zavoral:
Data preprocessing of esport game records, in DATA, 2017
Data preprocessing of esport game records, in DATA, 2017
M. Kruliš, H. Osipyan, S. Marchand-Maillet:
Employing GPU architectures for permutation-based indexing, in Multimedia Tools and Applications 76(6), pp. 11859-11887, 2017
Employing GPU architectures for permutation-based indexing, in Multimedia Tools and Applications 76(6), pp. 11859-11887, 2017
D. Bednárek, M. Brabec, M. Kruliš:
Improving Matrix-Based Dynamic Programming on Massively Parallel Accelerators, in Information Systems 64, pp. 175-193, 2017
DOI: 10.1016/j.is.2016.06.001
Improving Matrix-Based Dynamic Programming on Massively Parallel Accelerators, in Information Systems 64, pp. 175-193, 2017
DOI: 10.1016/j.is.2016.06.001
I. Zelinka, M. Kruliš, M. Běhálek, T. Luu, J. Pokorný:
On Interdisciplinary Intersection of Unconventional Algorithms and Big Data Processing in Real World Problems: A Real World Example Based on Ho Chi Minh City Traffic, in Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry, pp. 326-347, 2017
ISBN: 978-1-5225-1054-3
On Interdisciplinary Intersection of Unconventional Algorithms and Big Data Processing in Real World Problems: A Real World Example Based on Ho Chi Minh City Traffic, in Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry, pp. 326-347, 2017
ISBN: 978-1-5225-1054-3
D. Bednárek, M. Kruliš, J. Yaghob, F. Zavoral:
Creating Distributed Execution Plans with BobolangNG, in International Conference on Algorithms and Architectures for Parallel Processing, 2016
Creating Distributed Execution Plans with BobolangNG, in International Conference on Algorithms and Architectures for Parallel Processing, 2016
M. Kruliš, J. Lokoč, T. Skopal:
Efficient extraction of clustering-based feature signatures using GPU architectures, in Multimedia Tools and Applications 75(13), pp. 8071-8103, 2016
DOI: 10.1007/s11042-015-2726-y
Efficient extraction of clustering-based feature signatures using GPU architectures, in Multimedia Tools and Applications 75(13), pp. 8071-8103, 2016
DOI: 10.1007/s11042-015-2726-y
H. Osipyan, M. Kruliš, S. Marchand-Maillet:
A Survey of CUDA-based Multidimensional Scaling on GPU Architecture, in 2015 Imperial College Computing Student Workshop (ICCSW 2015), pp. 37–45, 2015
ISBN: 978-3-95977-000-2, DOI: 10.4230/OASIcs.ICCSW.2015.37
A Survey of CUDA-based Multidimensional Scaling on GPU Architecture, in 2015 Imperial College Computing Student Workshop (ICCSW 2015), pp. 37–45, 2015
ISBN: 978-3-95977-000-2, DOI: 10.4230/OASIcs.ICCSW.2015.37
M. Kruliš, P. Stefan, J. Yaghob, F. Zavoral:
Assessing Applicability of Power-Efficient Embedded Devices for Micro-Cloud Computing, in ITAT, 2015
Assessing Applicability of Power-Efficient Embedded Devices for Micro-Cloud Computing, in ITAT, 2015
J. Pokorný, P. Škoda, I. Zelinka, D. Bednárek, F. Zavoral, M. Kruliš, P. Šaloun:
Big Data Movement: A Challenge in Data Processing, in , 2015
Big Data Movement: A Challenge in Data Processing, in , 2015
D. Bednárek, M. Kruliš, P. Malý, J. Yaghob, F. Zavoral, J. Pokorný:
Combining Distributed Computing and Massively Parallel Devices to Accelerate Stream Data Processing, in DBKDA, 2015
Combining Distributed Computing and Massively Parallel Devices to Accelerate Stream Data Processing, in DBKDA, 2015
P. Galuščáková, M. Kruliš, J. Lokoč, D. Novák, P. Pecina:
CUNI at TRECVID 2015 Video Hyperlinking Task, in , 2015
CUNI at TRECVID 2015 Video Hyperlinking Task, in , 2015
M. Kruliš, D. Bednárek, M. Brabec:
Improving Parallel Processing of Matrix-Based Similarity Measures on Modern GPUs, in Similarity Search and Applications, 2015
Improving Parallel Processing of Matrix-Based Similarity Measures on Modern GPUs, in Similarity Search and Applications, 2015
M. Kruliš:
Is There a Free Lunch for Image Feature Extraction in Web Applications, in Similarity Search and Applications, 2015
Is There a Free Lunch for Image Feature Extraction in Web Applications, in Similarity Search and Applications, 2015
Z. Falt, M. Kruliš, D. Bednárek, J. Yaghob, F. Zavoral:
Locality Aware Task Scheduling in Parallel Data Stream Processing, in Intelligent Distributed Computing VIII, pp. 331-342, 2015
ISBN: 978-3-319-10422-5, DOI: 10.1007/978-3-319-10422-5_35
Locality Aware Task Scheduling in Parallel Data Stream Processing, in Intelligent Distributed Computing VIII, pp. 331-342, 2015
ISBN: 978-3-319-10422-5, DOI: 10.1007/978-3-319-10422-5_35
D. Bednárek, M. Brabec, M. Kruliš:
On Parallel Evaluation of Matrix-Based Dynamic Programming Algorithms, in , 2015
On Parallel Evaluation of Matrix-Based Dynamic Programming Algorithms, in , 2015
M. Kruliš, H. Osipyan, S. Marchand-Maillet:
Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs, in ADBIS, 2015
Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs, in ADBIS, 2015
M. Kruliš, H. Osipyan, S. Marchand-Maillet:
Permutation based indexing for high dimensional data on GPU architectures, in 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), pp. 1-6, 2015
DOI: 10.1109/CBMI.2015.7153619
Permutation based indexing for high dimensional data on GPU architectures, in 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), pp. 1-6, 2015
DOI: 10.1109/CBMI.2015.7153619
Z. Falt, M. Kruliš, D. Bednárek, J. Yaghob, F. Zavoral:
Towards Efficient Locality Aware Parallel Data Stream Processing, in Journal of Unversal Computer Science, pp. 816-841, 2015
Towards Efficient Locality Aware Parallel Data Stream Processing, in Journal of Unversal Computer Science, pp. 816-841, 2015
M. Kruliš, D. Bednárek, Z. Falt, J. Yaghob, F. Zavoral:
Towards Semi-automated Parallelization of Data Stream Processing, in 9th International Symposium on Intelligent Distributed Computing (IDC), 2015
Towards Semi-automated Parallelization of Data Stream Processing, in 9th International Symposium on Intelligent Distributed Computing (IDC), 2015
Z. Falt, D. Bednárek, M. Kruliš, J. Yaghob, F. Zavoral:
Bobolang: a language for parallel streaming applications, in Proceedings of the 23rd international symposium on High-performance parallel and distributed computing, pp. 311–314, 2014
ISBN: 978-1-4503-2749-7, DOI: 10.1145/2600212.2600711
Bobolang: a language for parallel streaming applications, in Proceedings of the 23rd international symposium on High-performance parallel and distributed computing, pp. 311–314, 2014
ISBN: 978-1-4503-2749-7, DOI: 10.1145/2600212.2600711
J. Yaghob, D. Bednárek, M. Kruliš, F. Zavoral:
Column-Oriented Data Store for Astrophysical Data, in 2014 25th International Workshop on Database and Expert Systems Applications, pp. 258-262, 2014
DOI: 10.1109/DEXA.2014.60
Column-Oriented Data Store for Astrophysical Data, in 2014 25th International Workshop on Database and Expert Systems Applications, pp. 258-262, 2014
DOI: 10.1109/DEXA.2014.60
F. Zavoral, J. Yaghob, D. Bednárek, M. Kruliš:
Contemplating Efficiency of the ROOT File Format for Data Intensive Simulations in Particle Physics, in ITAT, 2014
Contemplating Efficiency of the ROOT File Format for Data Intensive Simulations in Particle Physics, in ITAT, 2014
D. Bednárek, M. Kruliš, J. Yaghob, F. Zavoral:
Employing Evolutionary Algorithms for Classification of Astrophysical Spectra, in ITAT, 2014
Employing Evolutionary Algorithms for Classification of Astrophysical Spectra, in ITAT, 2014
M. Kruliš, D. Bednárek, J. Yaghob, F. Zavoral:
Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics, in Similarity Search and Applications, 2014
Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics, in Similarity Search and Applications, 2014
M. Kruliš, Z. Falt, F. Zavoral:
Exploiting HTML5 Technologies for Distributed Parasitic Web Storge, in DATESO, 2014
Exploiting HTML5 Technologies for Distributed Parasitic Web Storge, in DATESO, 2014
M. Kruliš, S. Kirchhoff, J. Yaghob:
Perils of Combining Parallel Distance Computations with Metric and Ptolemaic Indexing in kNN Queries, in Similarity Search and Applications, pp. 127-138, 2014
ISBN: 978-3-319-11988-5, DOI: 10.1007/978-3-319-11988-5_12
Perils of Combining Parallel Distance Computations with Metric and Ptolemaic Indexing in kNN Queries, in Similarity Search and Applications, pp. 127-138, 2014
ISBN: 978-3-319-11988-5, DOI: 10.1007/978-3-319-11988-5_12
M. Kruliš, J. Lokoč, T. Skopal:
Efficient Extraction of Feature Signatures Using Multi-GPU Architecture, in Advances in Multimedia Modeling, pp. 446-456, 2013
ISBN: 978-3-642-35728-2, DOI: 10.1007/978-3-642-35728-2_43
Efficient Extraction of Feature Signatures Using Multi-GPU Architecture, in Advances in Multimedia Modeling, pp. 446-456, 2013
ISBN: 978-3-642-35728-2, DOI: 10.1007/978-3-642-35728-2_43
J. Galgonek, M. Kruliš, D. Hoksza:
On the Parallelization of the SProt Measure and the TM-Score Algorithm, in Euro-Par 2012: Parallel Processing Workshops, pp. 238-247, 2013
ISBN: 978-3-642-36949-0, DOI: 10.1007/978-3-642-36949-0_27
On the Parallelization of the SProt Measure and the TM-Score Algorithm, in Euro-Par 2012: Parallel Processing Workshops, pp. 238-247, 2013
ISBN: 978-3-642-36949-0, DOI: 10.1007/978-3-642-36949-0_27
M. Kruliš, T. Skopal, J. Lokoč, C. Beecks:
Combining CPU and GPU architectures for fast similarity search, in Distributed and Parallel Databases 30(3), pp. 179-207, 2012
DOI: 10.1007/s10619-012-7092-4
Combining CPU and GPU architectures for fast similarity search, in Distributed and Parallel Databases 30(3), pp. 179-207, 2012
DOI: 10.1007/s10619-012-7092-4
M. Kruliš, Z. Falt, D. Bednárek, J. Yaghob:
Task scheduling in hybrid CPU-GPU systems, in ITAT, 2012
Task scheduling in hybrid CPU-GPU systems, in ITAT, 2012
M. Kruliš, J. Lokoč, C. Beecks, T. Skopal, T. Seidl:
Processing the signature quadratic form distance on many-core GPU architectures, in Proceedings of the 20th ACM international conference on Information and knowledge management, pp. 2373–2376, 2011
ISBN: 978-1-4503-0717-8, DOI: 10.1145/2063576.2063970
Processing the signature quadratic form distance on many-core GPU architectures, in Proceedings of the 20th ACM international conference on Information and knowledge management, pp. 2373–2376, 2011
ISBN: 978-1-4503-0717-8, DOI: 10.1145/2063576.2063970
M. Kruliš, J. Yaghob:
Revision of relational joins for multi-core and many-core architectures, in DATESO, 2011
Revision of relational joins for multi-core and many-core architectures, in DATESO, 2011
M. Kruliš, J. Yaghob:
Efficient implementation of xpath processor on multi-core cpus, in DATESO, 2010
Efficient implementation of xpath processor on multi-core cpus, in DATESO, 2010
M. Kruliš, J. Yaghob:
The Location Path to Hell Is Paved With Unoptimized Axes: XPath Implementation Tips, in Networked Digital Technologies, 2010
The Location Path to Hell Is Paved With Unoptimized Axes: XPath Implementation Tips, in Networked Digital Technologies, 2010