A Reconfiguration Algorithm for Power-Aware Parallel Applications D De Sensi, M Torquati, M Danelutto
ACM Transactions on Architecture and Code Optimization, 2016
36 2016 Deep Packet Inspection on Commodity Hardware using FastFlow M Danelutto, L Deri, D De Sensi, M Torquati
PARCO, 2013
26 * 2013 Predicting performance and power consumption of parallel applications D De Sensi
Parallel, Distributed, and Network-Based Processing (PDP), 2016 24th …, 2016
24 2016 Network Monitoring on Multicores with Algorithmic Skeletons M Danelutto, L Deri, D De Sensi
International Conference on Parallel Computing (PARCO), 2011
16 2011 P 3 ARSEC: 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
15 2017 Bringing Parallel Patterns Out of the Corner: The P3ARSEC Benchmark Suite D De Sensi, T De Matteis, M Torquati, G Mencagli, M Danelutto
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 14 (4), 33: 1-33: 26, 2017
15 2017 Energy driven adaptivity in stream parallel computations M Danelutto, D De Sensi, M Torquati
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd …, 2015
15 2015 Mammut: High-level management of system knobs and sensors D De Sensi, M Torquati, M Danelutto
SoftwareX 6, 150-154, 2017
14 2017 A Power-Aware, Self-Adaptive Macro Data Flow Framework M Danelutto, D De Sensi, M Torquati
Parallel Processing Letters, 2017
12 2017 Simplifying self-adaptive and power-aware computing with Nornir D De Sensi, T De Matteis, M Danelutto
Future Generation Computer Systems 87, 136-151, 2018
9 2018 Autonomic and Latency-Aware Degree of Parallelism Management in SPar A Vogel, D Griebler, D De Sensi, M Danelutto, LG Fernandes
European Conference on Parallel Processing, 28-39, 2018
8 2018 D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes A Conte, T De Matteis, D De Sensi, R Grossi, A Marino, L Versari
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
8 2018 Evaluating Concurrency Throttling and Thread Packing on SMT Multicores M Danelutto, T De Matteis, D De Sensi, M Torquati
Parallel, Distributed and Network-based Processing (PDP), 2017 25th …, 2017
7 2017 Reducing Message Latency and CPU Utilization in the CAF Actor Framework M Torquati, T Menga, T De Matteis, D De Sensi, G Mencagli
Parallel, Distributed and Network-based Processing (PDP), 2018 26th …, 2018
4 2018 Service Level Objectives via C++11 Attributes D Griebler, D De Sensi, A Vogel, M Danelutto, LG Fernandes
European Conference on Parallel Processing, 745-756, 2018
3 2018 Nornir: A Customizable Framework for Autonomic and Power-Aware Applications D De Sensi, T De Matteis, M Danelutto
European Conference on Parallel Processing, 42-54, 2017
3 2017 State-Aware Concurrency Throttling. D De Sensi, P Kilpatrick, M Torquati
ParCo, 201-210, 2017
3 2017 Towards power-aware data pipelining on multicores M Aldinucci, M Danelutto, D De Sensi, G Mencagli, M Torquati
Proc. of HLPP2017: Intl. Workshop on High-Level Parallel Programming …, 2017
3 2017 Discovering A Conte, D De Sensi, R Grossi, A Marino, L Versari
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018
2 2018 Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications A Brogi, M Danelutto, D De Sensi, A Ibrahim, J Soldani, M Torquati
International Journal of Parallel Programming, 2016
2 2016 
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail verificata su unipi.it
