| A Reconfiguration Algorithm for Power-Aware Parallel Applications D De Sensi, M Torquati, M Danelutto ACM Transactions on Architecture and Code Optimization, 2016 | 66 | 2016 |
| 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 | 39 | 2018 |
| Predicting performance and power consumption of parallel applications D De Sensi Parallel, Distributed, and Network-Based Processing (PDP), 2016 24th …, 2016 | 38 | 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 | 37 | 2020 |
| 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 | 36 | 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 | 24 | 2018 |
| Mammut: High-level management of system knobs and sensors D De Sensi, M Torquati, M Danelutto SoftwareX 6, 150-154, 2017 | 23 | 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 | 21 | 2019 |
| A Power-Aware, Self-Adaptive Macro Data Flow Framework M Danelutto, D De Sensi, M Torquati Parallel Processing Letters, 2017 | 21 | 2017 |
| 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 | 19 | 2018 |
| 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 | 19 | 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 |
| 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 | 12 | 2019 |
| 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 | 11 | 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 | 11 | 2017 |
| 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 | 10 | 2018 |
| Discovering-Trusses in Large-Scale Networks A Conte, D De Sensi, R Grossi, A Marino, L Versari 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018 | 7 | 2018 |
| Power-Aware Pipelining with Automatic Concurrency Control M Torquati, D De Sensi, G Mencagli, M Aldinucci, M Danelutto | 7* | |
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaVerified email at unipi.it
