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Ph.D.
FIT, DCSY – Assistant professor
+420 54114 1364jarosmarta@fit.vut.cz
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2025
OLŠÁK, O.; ŠAUER, M.; JAROŠ, M.; JAROŠ, J. KuBench: A Kubernetes-Based Environment for Standardized REST API Framework Performance Evaluation. In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. p. 366-369. ISBN: 978-3-031-97206-5.
Paper in proceedings (conference paper)
2024
JAROŠ, J.; JAROŠ, M.; BUCHTA, M. Estimation of Distributed Ultrasound Simulation Execution Time Using Machine Learning. In 2024 IEEE Congress on Evolutionary Computation (CEC). Yokohama: Institute of Electrical and Electronics Engineers, 2024. p. 1-8. ISBN: 979-8-3503-0836-5.
JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. In HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 358-360. ISBN: 979-8-4007-0413-0.
2023
JAROŠ, M.; JAROŠ, J. Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. In Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science, LNCS 13592. Virtual Event: Springer Nature Switzerland AG, 2023. p. 152-171. ISBN: 978-3-031-22697-7.
2021
JAROŠ, M.; JAROŠ, J. Performance-Cost Optimization of Moldable Scientific Workflows. In Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Portland, Oregon USA: Springer International Publishing, 2021. no. 12985, p. 149-167. ISBN: 978-3-030-88223-5. ISSN: 0302-9743.
JAROŠ, M.; SASÁK, T.; TREEBY, B.; JAROŠ, J. Estimation of Execution Parameters for k-Wave Simulations. In High Performance Computing in Science and Engineering. HPCSE 2019. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Nature Switzerland AG, 2021. p. 116-134. ISBN: 978-3-030-67076-4.
2020
KUKLIŠ, F.; JAROŠ, M.; JAROŠ, J. Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy. In Applications of Evolutionary Computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer International Publishing, 2020. p. 463-478. ISBN: 978-3-030-43721-3.
JAROŠ, M.; TREEBY, B.; GEORGIOU, P.; JAROŠ, J. k-Dispatch: A Workflow Management System for the Automated Execution of Biomedical Ultrasound Simulations on Remote Computing Resources. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020. New York: Association for Computing Machinery, 2020. p. 1-10. ISBN: 978-1-4503-7993-9.
JAROŠ, M.; KLUSÁČEK, D.; JAROŠ, J. Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations. In Job Scheduling Strategies for Parallel Processing. JSSPP 2020. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). New Orleans: Springer Nature Switzerland AG, 2020. p. 68-84. ISBN: 978-3-030-63170-3.
2019
JAROŠ, M. Adaptive Execution Planning in Workflow Management Systems. Počítačové architektury a diagnostika 2019. Doksy: Academic and Medical Conference Agency, 2019. p. 23-26. ISBN: 978-80-88214-20-5.
Paper in proceedings outside WoS and Scopus
2018
JAROŠ, M. Scientific Workflows Management. Počítačové architektúry & diagnostika PAD 2018. Plzeň: University of West Bohemia in Pilsen, 2018. p. 25-28. ISBN: 978-80-261-0814-6.
JAROŠ, M.; TREEBY, B.; JAROŠ, J. Design of HIFU treatment plans using an evolutionary strategy. In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Kyoto: Association for Computing Machinery, 2018. p. 1568-1575. ISBN: 978-1-4503-5764-7.
2017
JAROŠ, M. Framework for Planning, Running and Monitoring Cooperating Computations. Počítačové architektúry & diagnostika PAD 2017. Bratislava: Slovak University of Technology in Bratislava, 2017. p. 20-23. ISBN: 978-80-972784-0-3.
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