Gabriele Mencagli
Gabriele Mencagli
Associate Professor, Department of Computer Science, University of Pisa, Italy
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Citata da
Citata da
Keep calm and react with foresight: Strategies for low-latency and energy-efficient elastic data stream processing
T De Matteis, G Mencagli
ACM SIGPLAN Notices 51 (8), 1-12, 2016
Proactive elasticity and energy awareness in data stream processing
T De Matteis, G Mencagli
Journal of Systems and Software 127, 302-319, 2017
Parallel patterns for window-based stateful operators on data streams: an algorithmic skeleton approach
T De Matteis, G Mencagli
International Journal of Parallel Programming 45 (2), 382-401, 2017
Elastic scaling for distributed latency-sensitive data stream operators
T De Matteis, G Mencagli
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
Dspbench: A suite of benchmark applications for distributed data stream processing systems
MV Bordin, D Griebler, G Mencagli, CFR Geyer, LGL Fernandes
IEEE Access 8, 222900-222917, 2020
Next generation grids and wireless communication networks: towards a novel integrated approach
R Fantacci, M Vanneschi, C Bertolli, G Mencagli, D Tarchi
Wireless Communications and Mobile Computing 9 (4), 445-467, 2009
Efficient NAS benchmark kernels with C++ parallel programming
D Griebler, J Loff, G Mencagli, M Danelutto, LG Fernandes
2018 26th Euromicro International Conference on Parallel, Distributed and …, 2018
Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite
D De Sensi, T De Matteis, M Torquati, G Mencagli, M Danelutto
ACM Transactions on Architecture and Code Optimization (TACO) 14 (4), 1-26, 2017
The NAS parallel benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures
J Löff, D Griebler, G Mencagli, G Araujo, M Torquati, M Danelutto, ...
Future Generation Computer Systems 125, 743-757, 2021
A cooperative predictive control approach to improve the reconfiguration stability of adaptive distributed parallel applications
G Mencagli, M Vanneschi, E Vespa
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 9 (1), 1-27, 2014
Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams
G Mencagli, M Torquati, M Danelutto
Future Generation Computer Systems 79, 862-877, 2018
A game-theoretic approach for elastic distributed data stream processing
G Mencagli
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 11 (2), 1-34, 2016
Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence
D Bacciu, S Akarmazyan, E Armengaud, M Bacco, G Bravos, C Calandra, ...
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS …, 2021
Container-based support for autonomic data stream processing through the fog
A Brogi, G Mencagli, D Neri, J Soldani, M Torquati
European Conference on Parallel Processing, 17-28, 2017
New landscapes of the data stream processing in the era of fog computing
V Cardellini, G Mencagli, D Talia, M Torquati
Future Generation Computer Systems 99, 646-650, 2019
Control-theoretic adaptation strategies for autonomic reconfigurable parallel applications on cloud environments
G Mencagli, M Vanneschi, E Vespa
2013 International Conference on High Performance Computing & Simulation …, 2013
Expressing adaptivity and context awareness in the ASSISTANT programming model
C Bertolli, D Buono, G Mencagli, M Vanneschi
Autonomic Computing and Communications Systems: Third International ICST …, 2010
Windflow: High-speed continuous stream processing with parallel building blocks
G Mencagli, M Torquati, A Cardaci, A Fais, L Rinaldi, M Danelutto
IEEE Transactions on Parallel and Distributed Systems 32 (11), 2748-2763, 2021
Algorithmic skeletons and parallel design patterns in mainstream parallel programming
M Danelutto, G Mencagli, M Torquati, H González–Vélez, P Kilpatrick
International Journal of Parallel Programming 49, 177-198, 2021
A divide-and-conquer parallel pattern implementation for multicores
M Danelutto, T De Matteis, G Mencagli, M Torquati
Proceedings of the 3rd International Workshop on Software Engineering for …, 2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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