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ORCIDJirí Jaros
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2020 – today
- 2024
[c48]Jirí Jaros, Marta Jaros, Martin Buchta:
Prediction of Distributed Ultrasound Simulation Execution Time U sing Machine Learning. CEC 2024: 1-8- [c47]Marta Jaros
, Jirí Jaros:
k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. HPDC 2024: 358-360 - [c46]Ondrej Olsak, Jirí Jaros:
Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. HPDC 2024: 361-363 - [c45]Jirí Jaros, Radek Duchon:
Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. HPDC 2024: 370-372 - 2023
- [c44]Jakub Chlebik, Jirí Jaros:
Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. GECCO Companion 2023: 635-638 - [c43]Ondrej Olsak, Jirí Jaros:
On the Usage of the Sparse Fourier Transform in Ultrasound Propagation Simulation. ICBRA 2023: 107-113 - 2022
- [c42]Marta Jaros, Jirí Jaros:
Optimization of Execution Parameters of Moldable Ultrasound Workflows Under Incomplete Performance Data. JSSPP 2022: 152-171 - 2021
- [c41]Jakub Chlebik, Jirí Jaros:
Distributed evolutionary design of HIFU treatment plans. GECCO Companion 2021: 297-298 - [c40]Marta Jaros, Jirí Jaros:
Performance-Cost Optimization of Moldable Scientific Workflows. JSSPP 2021: 149-167 - [c39]Jakub Chlebik, Jirí Jaros:
Distributed Evolutionary Design of High Intensity Focused Ultrasound Treatment Plans. SMC 2021: 2203-2208 - [e3]Tomás Kozubek, Peter Arbenz, Jirí Jaros, Lubomír Ríha, Jakub Sístek, Petr Tichý:
High Performance Computing in Science and Engineering - 4th International Conference, HPCSE 2019, Karolinka, Czech Republic, May 20-23, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12456, Springer 2021, ISBN 978-3-030-67076-4 [contents] - 2020
- [c38]Filip Kuklis, Marta Jaros, Jirí Jaros:
Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy. EvoApplications 2020: 463-478 - [c37]Marta Jaros, Dalibor Klusácek, Jirí Jaros:
Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations. JSSPP 2020: 68-84 - [c36]Marta Jaros, Bradley E. Treeby, Panayiotis Georgiou, Jirí Jaros:
k-Dispatch: A Workflow Management System for the Automated Execution of Biomedical Ultrasound Simulations on Remote Computing Resources. PASC 2020: 10:1-10:10
2010 – 2019
- 2019
- [c35]Filip Vaverka, Bradley E. Treeby, Jirí Jaros:
Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators. HPCSE 2019: 99-115 - [c34]Marta Jaros, Tomas Sasak, Bradley E. Treeby, Jirí Jaros:
Estimation of Execution Parameters for k-Wave Simulations. HPCSE 2019: 116-134 - [c33]Filip Vaverka, Bradley E. Treeby, Jirí Jaros:
Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation Using Pseudospectral Methods. ICCS (3) 2019: 577-590 - 2018
- [j6]Petr Kleparnik, David Barina, Pavel Zemcík, Jirí Jaros:
Efficient Low-Resource Compression of HIFU Data. Inf. 9(7): 155 (2018) - [j5]Bradley E. Treeby, Filip Vaverka, Jirí Jaros:
Performance and accuracy analysis of nonlinear k-Wave simulations using local domain decomposition with an 8-GPU server. Proc. Meet. Acoust. 34(1) (2018) - [j4]Visa Suomi, Jirí Jaros, Bradley E. Treeby, Robin O. Cleveland:
Full Modeling of High-Intensity Focused Ultrasound and Thermal Heating in the Kidney Using Realistic Patient Models. IEEE Trans. Biomed. Eng. 65(5): 969-979 (2018) - [j3]Visa Suomi, Jirí Jaros, Bradley E. Treeby, Robin O. Cleveland:
Full Modeling of High-Intensity Focused Ultrasound and Thermal Heating in the Kidney Using Realistic Patient Models. IEEE Trans. Biomed. Eng. 65(11): 2660-2670 (2018) - [c32]Visa Suomi, Bradley E. Treeby, Jirí Jaros, Jani Saunavaara, Aida Kiviniemi, Roberto Blanco:
The Effect of Tissue Physiological Variability on Transurethral Ultrasound Therapy of the Prostate. EMBC 2018: 5701-5704 - [c31]Marta Cudova, Bradley E. Treeby, Jirí Jaros:
Design of HIFU treatment plans using an evolutionary strategy. GECCO (Companion) 2018: 1568-1575 - [c30]Kristian Kadlubiak, Jirí Jaros, Bradley E. Treeby:
GPU-Accelerated Simulation of Elastic Wave Propagation. HPCS 2018: 188-195 - [e2]Tomás Kozubek, Martin Cermák, Petr Tichý, Radim Blaheta, Jakub Sístek, Dalibor Lukás, Jirí Jaros:
High Performance Computing in Science and Engineering - Third International Conference, HPCSE 2017, Karolinka, Czech Republic, May 22-25, 2017, Revised Selected Papers. Lecture Notes in Computer Science 11087, Springer 2018, ISBN 978-3-319-97135-3 [contents] - 2017
- [c29]Petr Kleparnik, Pavel Zemcík, Jirí Jaros:
Efficient lossy compression of ultrasound data. ISSPIT 2017: 232-237 - [c28]Vojtech Nikl, Michal Hradecky, Jakub Keleceni, Jirí Jaros:
The Investigation of the ARMv7 and Intel Haswell Architectures Suitability for Performance and Energy-Aware Computing. ISC 2017: 377-393 - 2016
- [j2]Jirí Jaros, Alistair P. Rendell, Bradley E. Treeby:
Full-wave nonlinear ultrasound simulation on distributed clusters with applications in high-intensity focused ultrasound. Int. J. High Perform. Comput. Appl. 30(2): 137-155 (2016) - [j1]Jirí Jaros, Filip Vaverka, Bradley E. Treeby:
Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Supercomput. Front. Innov. 3(3): 40-55 (2016) - [c27]Visa Suomi, Jirí Jaros, Bradley E. Treeby, Robin O. Cleveland:
Nonlinear 3-D simulation of high-intensity focused ultrasound therapy in the Kidney. EMBC 2016: 5648-5651 - 2015
- [c26]Michal Merta, Jan Zapletal, Jirí Jaros:
Many Core Acceleration of the Boundary Element Method. HPCSE 2015: 116-125 - [c25]Jirí Jaros, Jan Marek, Pavel Mensík:
Optimisation of Water Management Systems Using a GPU-Accelerated Differential Evolution. SSCI 2015: 1727-1734 - 2014
- [c24]Drahoslav Zan, Jirí Jaros:
Solving the Multidimensional Knapsack Problem using a CUDA accelerated PSO. IEEE Congress on Evolutionary Computation 2014: 2933-2939 - [c23]Derek Groen, David Abou Chacra, Rupert W. Nash, Jirí Jaros, Miguel O. Bernabeu, Peter V. Coveney:
Weighted Decomposition in High-Performance Lattice-Boltzmann Simulations: Are Some Lattice Sites More Equal than Others? EASC 2014: 28-38 - [c22]Jirí Jaros, Radek Tyrala:
GPU-accelerated evolutionary design of the complete exchange communication on wormhole networks. GECCO 2014: 1023-1030 - [c21]Vojtech Nikl, Jirí Jaros:
Parallelisation of the 3D Fast Fourier Transform Using the Hybrid OpenMP/MPI Decomposition. MEMICS 2014: 100-112 - [e1]Petr Hlinený, Zdenek Dvorák, Jirí Jaros, Jan Kofron, Jan Korenek, Petr Matula, Karel Pala:
Mathematical and Engineering Methods in Computer Science - 9th International Doctoral Workshop, MEMICS 2014, Telč, Czech Republic, October 17-19, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8934, Springer 2014, ISBN 978-3-319-14895-3 [contents] - [i1]Derek Groen, David Abou Chacra, Rupert W. Nash, Jirí Jaros, Miguel O. Bernabeu, Peter V. Coveney:
Weighted decomposition in high-performance lattice-Boltzmann simulations: are some lattice sites more equal than others? CoRR abs/1410.4713 (2014) - 2012
- [c20]Jirí Jaros:
Multi-GPU island-based genetic algorithm for solving the knapsack problem. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c19]Jirí Jaros, Petr Pospichal:
A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark. EvoApplications 2012: 426-435 - [c18]Nimalan Nandapalan, Jirí Jaros, Alistair P. Rendell, Bradley E. Treeby:
Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments. PDCAT 2012: 167-172 - 2011
- [c17]Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jirí Jaros:
Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware. GECCO (Companion) 2011: 431-438 - 2010
- [c16]Petr Pospichal, Jirí Jaros, Josef Schwarz:
Parallel Genetic Algorithm on the CUDA Architecture. EvoApplications (1) 2010: 442-451 - [c15]Jirí Jaros, Vaclav Dvorak:
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs. GECCO 2010: 1171-1178
2000 – 2009
- 2009
- [c14]Jirí Jaros, Josef Schwarz:
Parallel BMDA with an aggregation of probability models. IEEE Congress on Evolutionary Computation 2009: 1683-1690 - [c13]Jirí Jaros:
Evolutionary optimization of multistage interconnection networks performance. GECCO 2009: 1537-1544 - 2008
- [c12]Jirí Jaros, Vaclav Dvorak:
An evolutionary design technique for collective communications on optimal diameter-degree networks. GECCO 2008: 1539-1546 - [c11]Jirí Jaros:
Evolutionary Design of Fault Tolerant Collective Communications. ICES 2008: 261-272 - [p1]Josef Schwarz, Jirí Jaros:
Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration. Linkage in Evolutionary Computation 2008: 3-23 - 2007
- [c10]Jirí Jaros, Josef Schwarz:
Parallel BMDA with probability model migration. IEEE Congress on Evolutionary Computation 2007: 1059-1066 - [c9]Josef Schwarz, Jirí Jaros, Jiri Ocenasek:
Migration of probabilistic models for island-based bivariate EDA algorithm. GECCO 2007: 631 - [c8]Jirí Jaros, Milos Ohlídal, Vaclav Dvorak:
An evolutionary approach to collective communication scheduling. GECCO 2007: 2037-2044 - [c7]Vaclav Dvorak, Jirí Jaros, Milos Ohlídal:
Optimum Topology-Aware Scheduling of Many-to-Many Collective Communications. ICN 2007: 61 - 2006
- [c6]Jirí Jaros, Václav Dvorák:
Evolutionary Design of OAB and AAB Communication Schedules for Networking Systems on Chips. DDECS 2006: 222-223 - [c5]Milos Ohlídal, Jirí Jaros, Josef Schwarz, Václav Dvorák:
Evolutionary Design of OAB and AAB Communication Schedules for Interconnection Networks. EvoWorkshops 2006: 267-278 - [c4]Milos Ohlídal, Jirí Jaros, Vaclav Dvorak:
Performance of Collective Communications on Interconnection Networks with Fat nodes and Edges. ICN/ICONS/MCL 2006: 32 - [c3]Jirí Jaros, Milos Ohlídal, Václav Dvorák:
Complexity of Collective Communications on NoCs. PARELEC 2006: 127-133 - 2005
- [c2]Jirí Jaros, Milos Ohlídal, Václav Dvorák:
Evolutionary Design of Group Communication Schedules for Interconnection Networks. ISCIS 2005: 472-481 - 2004
- [c1]Josef Schwarz, Jiri Ocenasek, Jirí Jaros:
Advanced Bayesian Optimization Algorithms Applied in Decomposition Problems. ECBS 2004: 102-112
Coauthor Index
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last updated on 2024-09-10 01:11 CEST by the dblp team
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