| ASKALON: a tool set for cluster and Grid computing T Fahringer, A Jugravu, S Pllana, R Prodan, C Seragiotto Jr, HL Truong Concurrency and Computation: Practice and Experience 17 (2‐4), 143-169, 2005 | 300 | 2005 |
| PEPPHER: Efficient and productive usage of hybrid computing systems S Benkner, S Pllana, JL Traff, P Tsigas, U Dolinsky, C Augonnet, ... IEEE Micro 31 (5), 28-41, 2011 | 117 | 2011 |
| Market-Oriented Grid and Utility Computing R Buyya, K Bubendorfer John Wiley & Sons, Inc., 2010 | 96 | 2010 |
| Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption S Memeti, L Li, S Pllana, J Kolodziej, C Kessler ARMS-CC '17, 1 - 6, 2017 | 84 | 2017 |
| A-GWL: Abstract grid workflow language T Fahringer, S Pllana, A Villazon International Conference on Computational Science, 42-49, 2004 | 80 | 2004 |
| On Customizing the UML for Modeling Performance Oriented Applications. In<< UML>>, Model Engineering Concepts and Tools S Pllana, T Fahringer Springer-Verlag., Dresden, Germany, 2002 | 67* | 2002 |
| Specification, planning, and execution of QoS‐aware Grid workflows within the Amadeus environment I Brandic, S Pllana, S Benkner Concurrency and Computation: Practice and Experience 20 (4), 331-345, 2008 | 63 | 2008 |
| UML based modeling of performance oriented parallel and distributed applications S Pllana, T Fahringer Proceedings of the Winter Simulation Conference 1, 497-505, 2002 | 63 | 2002 |
| Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security D Grzonka, A Jakobik, J Kołodziej, S Pllana Future Generation Computer Systems 86, 1106-1117, 2018 | 62 | 2018 |
| Programmability and performance portability aspects of heterogeneous multi-/manycore systems C Kessler, U Dastgeer, S Thibault, R Namyst, A Richards, U Dolinsky, ... 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2012 | 59 | 2012 |
| Performance prophet: A performance modeling and prediction tool for parallel and distributed programs S Pllana, T Fahringer 2005 International Conference on Parallel Processing Workshops (ICPPW'05 …, 2005 | 49* | 2005 |
| The potential of the intel (r) xeon phi for supervised deep learning A Viebke, S Pllana 2015 IEEE 17th International Conference on High Performance Computing and …, 2015 | 46 | 2015 |
| Performance modeling and prediction of parallel and distributed computing systems: A survey of the state of the art S Pllana, I Brandic, S Benkner First International Conference on Complex, Intelligent and Software …, 2007 | 46 | 2007 |
| High-level support for hybrid parallel execution of c++ applications targeting intel® xeon phi™ coprocessors J Dokulil, E Bajrovic, S Benkner, S Pllana, M Sandrieser, B Bachmayer Procedia Computer Science 18, 2508-2511, 2013 | 44* | 2013 |
| Towards an UML based graphical representation of grid workflow applications S Pllana, T Fahringer, J Testori, S Benkner, I Brandic European Across Grids Conference, 149-158, 2004 | 43 | 2004 |
| Using explicit platform descriptions to support programming of heterogeneous many-core systems M Sandrieser, S Benkner, S Pllana Parallel Computing 38 (1-2), 52-65, 2012 | 41 | 2012 |
| UML based grid workflow modeling under ASKALON J Qin, T Fahringer, S Pllana Distributed and Parallel Systems, 191-200, 2007 | 36 | 2007 |
| Towards an intelligent environment for programming multi-core computing systems S Pllana, S Benkner, E Mehofer, L Natvig, F Xhafa European Conference on Parallel Processing, 141-151, 2008 | 34 | 2008 |
| Preparing HPC applications for exascale: Challenges and recommendations E Abraham, C Bekas, I Brandic, S Genaim, EB Johnsen, I Kondov, ... 2015 18th International Conference on Network-Based Information Systems, 401-406, 2015 | 33* | 2015 |
| Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review S Memeti, S Pllana, A Binotto, J Kołodziej, I Brandic Computing 101 (8), 893-936, 2019 | 31 | 2019 |
