A Reconfiguration Algorithm for Power-Aware Parallel Applications D De Sensi, M Torquati, M Danelutto
ACM Transactions on Architecture and Code Optimization, 2016
73 2016 An In-Depth Analysis of the Slingshot Interconnect D De Sensi, S Di Girolamo, KH McMahon, D Roweth, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2020
62 2020 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
51 2018 Predicting performance and power consumption of parallel applications D De Sensi
Parallel, Distributed, and Network-Based Processing (PDP), 2016 24th …, 2016
44 2016 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
41 2017 Deep Packet Inspection on Commodity Hardware using FastFlow M Danelutto, L Deri, D De Sensi, M Torquati
PARCO, 2013
29 * 2013 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
28 2018 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
24 2019 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
22 2018 Mammut: High-level management of system knobs and sensors D De Sensi, M Torquati, M Danelutto
SoftwareX 6, 150-154, 2017
22 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
20 2017 A Power-Aware, Self-Adaptive Macro Data Flow Framework M Danelutto, D De Sensi, M Torquati
Parallel Processing Letters, 2017
20 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
18 2015 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
16 2019 Network Monitoring on Multicores with Algorithmic Skeletons M Danelutto, L Deri, D De Sensi
International Conference on Parallel Computing (PARCO), 2011
16 2011 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
14 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
12 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
11 2017 Discovering A Conte, D De Sensi, R Grossi, A Marino, L Versari
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018
10 2018 Power-Aware Pipelining with Automatic Concurrency Control M Torquati, D De Sensi, G Mencagli, M Aldinucci, M Danelutto
9 * 
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail verificata su unipi.it
