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Gabriele Mencagli
Gabriele Mencagli
Associate Professor, Department of Computer Science, University of Pisa, Italy
Email verificata su di.unipi.it - Home page
Titolo
Citata da
Citata da
Anno
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
1242016
Proactive elasticity and energy awareness in data stream processing
T De Matteis, G Mencagli
Journal of Systems and Software 127, 302-319, 2017
882017
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
472017
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
462009
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
432018
Elastic scaling for distributed latency-sensitive data stream operators
T De Matteis, G Mencagli
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
422017
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
402017
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
362014
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
332016
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
292018
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
262020
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
252010
Container-based support for autonomic data stream processing through the fog
A Brogi, G Mencagli, D Neri, J Soldani, M Torquati
Euro-Par 2017: Parallel Processing Workshops: Euro-Par 2017 International …, 2018
242018
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
232013
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
202021
P3ARSEC: towards parallel patterns benchmarking
M Danelutto, T De Matteis, D De Sensi, G Mencagli, M Torquati
Proceedings of the symposium on applied computing, 1582-1589, 2017
202017
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
192019
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
192016
Optimizing message-passing on multicore architectures using hardware multi-threading
D Buono, T De Matteis, G Mencagli, M Vanneschi
2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014
192014
Gasser: An auto-tunable system for general sliding-window streaming operators on gpus
T De Matteis, G Mencagli, D De Sensi, M Torquati, M Danelutto
IEEE Access 7, 48753-48769, 2019
172019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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