A Reconfiguration Algorithm for Power-Aware Parallel Applications D De Sensi, M Torquati, M Danelutto
ACM Transactions on Architecture and Code Optimization, 2016
48 2016 Predicting performance and power consumption of parallel applications D De Sensi
Parallel, Distributed, and Network-Based Processing (PDP), 2016 24th …, 2016
29 2016 Deep Packet Inspection on Commodity Hardware using FastFlow M Danelutto, L Deri, D De Sensi, M Torquati
PARCO, 2013
28 * 2013 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
24 2017 Mammut: High-level management of system knobs and sensors D De Sensi, M Torquati, M Danelutto
SoftwareX 6, 150-154, 2017
18 2017 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
16 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
16 2015 Network Monitoring on Multicores with Algorithmic Skeletons M Danelutto, L Deri, D De Sensi
International Conference on Parallel Computing (PARCO), 2011
16 2011 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
15 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
14 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
13 2018 A Power-Aware, Self-Adaptive Macro Data Flow Framework M Danelutto, D De Sensi, M Torquati
Parallel Processing Letters, 2017
13 2017 Mitigating network noise on Dragonfly networks through application-aware routing D De Sensi, S Di Girolamo, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2019
8 2019 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
5 2018 Simplifying and implementing service level objectives for stream parallelism D Griebler, A Vogel, D De Sensi, M Danelutto, LG Fernandes
The Journal of Supercomputing, 1-26, 2019
4 2019 Discovering A Conte, D De Sensi, R Grossi, A Marino, L Versari
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018
4 2018 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
3 2019 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 
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail verificata su unipi.it
