| The past, present and future of the ELKH cloud M Héder, E Rigó, D Medgyesi, R Lovas, S Tenczer, A Farkas, MB Emődi, ... Információs Társadalom: Társadalomtudományi Folyóirat 22 (2), 128-137, 2022 | 138 | 2022 |
| P-GRADE: a Grid programming environment P Kacsuk, G Dózsa, J Kovács, R Lovas, N Podhorszki, Z Balaton, ... Journal of Grid Computing 1 (2), 171-197, 2003 | 110 | 2003 |
| Edges: Bridging egee to boinc and xtremweb E Urbah, P Kacsuk, Z Farkas, G Fedak, G Kecskemeti, O Lodygensky, ... Journal of Grid Computing 7 (3), 335-354, 2009 | 82 | 2009 |
| Workflow support for complex Grid applications: Integrated and portal solutions R Lovas, G Dózsa, P Kacsuk, N Podhorszki, D Drótos European Across Grids Conference, 129-138, 2004 | 61 | 2004 |
| The p-grade grid portal C Németh, G Dózsa, R Lovas, P Kacsuk International Conference on Computational Science and Its Applications, 10-19, 2004 | 52 | 2004 |
| A novel IoT platform for the era of connected cars AC Marosi, R Lovas, Á Kisari, E Simonyi 2018 IEEE international conference on future IoT technologies (Future IoT), 1-11, 2018 | 42 | 2018 |
| EDGeS: the common boundary between service and desktop grids Z Balaton, Z Farkas, G Gombas, P Kacsuk, R Lovas, AC Marosi, A Emmen, ... Parallel Processing Letters 18 (03), 433-445, 2008 | 41 | 2008 |
| The GRED graphical editor for the GRADE parallel program development environment P Kacsuk, G Dózsa, T Fadgyas, R Lovas Future Generation Computer Systems 15 (3), 443-452, 1999 | 35 | 1999 |
| Parallel and distributed training of deep neural networks: A brief overview A Farkas, G Kertész, R Lovas 2020 IEEE 24th International Conference on Intelligent Engineering Systems …, 2020 | 32 | 2020 |
| Orchestrated Platform for Cyber-Physical Systems R Lovas, A Farkas, AC Marosi, S Ács, J Kovács, Á Szalóki, B Kádár | 30 | 2018 |
| Application of P-GRADE development environment in meteorology R Lovas, P Kacsuk, Á Horváth, A Horányi Distributed and Parallel Systems: Cluster and Grid Computing, 109-116, 2002 | 29 | 2002 |
| Big data and machine learning framework for clouds and its usage for text classification I Pintye, E Kail, P Kacsuk, R Lovas Concurrency and Computation: Practice and Experience 33 (19), e6164, 2021 | 25 | 2021 |
| The GRADE graphical parallel programming environment P Kacsuk, G Dózsa, R Lovas Parallel program development for cluster computing: methodology, tools and …, 2001 | 23 | 2001 |
| Towards Reference Architectures: a Cloud-agnostic Data Analytics Platform Empowering Autonomous Systems A Marosi, MB Emődi, A Farkas, R Lovas, RJ Beregi, G Pedone, B Németh, ... IEEE ACCESS 10, 60658-60673, 2022 | 20 | 2022 |
| Integrating temporal assertions into a parallel debugger J Kovacs, G Kusper, R Lovas, W Schreiner European Conference on Parallel Processing, 113-120, 2002 | 20 | 2002 |
| GRADE: A graphical programming environment for multicomputers P Kacsuk, G Dózsa, T Fadfyas, R Lovas Computing and Informatics 17 (5), 417-427, 1998 | 20 | 1998 |
| The GRED graphical editor for the GRADE parallel program development environment P Kacsuk, G Dózsa, T Fadgyas, R Lovas International Conference on High-Performance Computing and Networking, 728-737, 1998 | 18 | 1998 |
| Cloud-agnostic architectures for machine learning based on Apache Spark E Nagy, R Lovas, I Pintye, Á Hajnal, P Kacsuk Advances in Engineering Software 159, 103029, 2021 | 17 | 2021 |
| Unified development solution for cluster and grid computing and its application in chemistry R Lovas, P Kacsuk, I Lagzi, T Turányi International Conference on Computational Science and Its Applications, 226-235, 2004 | 17 | 2004 |
| PaaS-oriented IoT platform with connected cars use cases R Lovas, AC Marosi, M Emödi, Á Kisari, E Simonyi, P Gáspár 2018 International Conference on Sensor Networks and Signal Processing (SNSP …, 2018 | 16 | 2018 |
Kacsuk PéterProfessor of Distributed Computing, SZTAKI and Univ.of WestminsterVerified email at sztaki.hu
