Sabri Pllana
Sabri Pllana
Director, Center for Smart Computing Continuum
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Cited by
Cited by
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
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
Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security
D Grzonka, A Jakóbik, J Kołodziej, S Pllana
Future generation computer systems 86, 1106-1117, 2018
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
Market-Oriented Grid and Utility Computing
R Buyya, K Bubendorfer
John Wiley & Sons, Inc., 2010
A-GWL: Abstract grid workflow language
T Fahringer, S Pllana, A Villazon
International Conference on Computational Science, 42-49, 2004
Medical data processing and analysis for remote health and activities monitoring
S Vitabile, M Marks, D Stojanovic, S Pllana, JM Molina, M Krzyszton, ...
High-Performance Modelling and Simulation for Big Data Applications …, 2019
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, 893-936, 2019
UML based modeling of performance oriented parallel and distributed applications
S Pllana, T Fahringer
Proceedings of the Winter Simulation Conference 1, 497-505, 2002
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
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
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
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
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
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
Iot-based urban noise identification using machine learning: performance of SVM, KNN, bagging, and random forest
Y Alsouda, S Pllana, A Kurti
Proceedings of the international conference on omni-layer intelligent …, 2019
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
Programming languages for data-Intensive HPC applications: A systematic mapping study
V Amaral, B Norberto, M Goulăo, M Aldinucci, S Benkner, A Bracciali, ...
Parallel Computing 91, 102584, 2020
Towards an UML based graphical representation of grid workflow applications
S Pllana, T Fahringer, J Testori, S Benkner, I Brandic
Grid Computing: Second European AcrossGrids Conference, AxGrids 2004 …, 2004
CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi
A Viebke, S Memeti, S Pllana, A Abraham
The Journal of Supercomputing 75 (1), 197-227, 2019
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