DE SENSI, Daniele
DE SENSI, Daniele
DIPARTIMENTO DI INFORMATICA
A power-aware, self-adaptive macro data flow framework
2017 Danelutto, M; De Sensi, D; Torquati, M
A Reconfiguration Algorithm for Power-Aware Parallel Applications
2016 DE SENSI, Daniele; Torquati, Massimo; Danelutto, Marco
An In-Depth Analysis of the Slingshot Interconnect
2020 De Sensi, D; Di Girolamo, S; Mcmahon, K; Roweth, D; Hoefler, T
Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications
2018 Brogi, A; Danelutto, M; De Sensi, D; Ibrahim, A; Soldani, J; Torquati, M
Application-Aware Power Capping Using Nornir
2020 De Sensi, D.; Danelutto, M.
Autonomic and latency-aware degree of parallelism management in SPar
2019 Vogel, A; Griebler, D; De Sensi, D; Danelutto, M; Fernandes, L. G.
Autonomic Management Experiences in Structured Parallel Programming
2019 Danelutto, M; De Sensi, D; Mencagli, G; Torquati, M
Bringing Parallel Patterns Out of the Corner: The P(3)ARSEC Benchmark Suite
2017 De Sensi, D; De Matteis, T; Torquati, M; Mencagli, G; Danelutto, M
Building Blocks for Network-Accelerated Distributed File Systems
2022 Di Girolamo, Salvatore; DE SENSI, Daniele; Taranov, Konstantin; Malesevic, Milos; Besta, Maciej; Schneider, Timo; Kistler, Severin; Hoefler, Torsten
Canary: Congestion-aware in-network allreduce using dynamic trees
2024 De Sensi, D.; Costa Molero, E.; Di Girolamo, S.; Vanbever, L.; Hoefler, T.
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes
2018 Conte, Alessio; De Matteis, Tiziano; DE SENSI, Daniele; Grossi, Roberto; Marino, Andrea; Versari, Luca
Deep Packet Inspection on Commodity Hardware using FastFlow
2013 Danelutto, M; Deri, L; De Sensi, D; Torquati, M
Discovering k-Trusses in Large-Scale Networks
2018 Conte, A; De Sensi, D; Grossi, R; Marino, A; Versari, L
Energy driven adaptivity in stream parallel computations
2015 Danelutto, M; De Sensi, D; Torquati, M
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores
2017 Danelutto, M; De Matteis, T; De Sensi, D; Torquati, M
Flare: Flexible in-Network Allreduce
2021 De Sensi, D; Di Girolamo, S; Ashkboos, S; Li, S; Hoefler, T
GASSER: an Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs
2019 De Matteis, Tiziano; Mencagli, Gabriele; DE SENSI, Daniele; Torquati, Massimo; Danelutto, Marco
HammingMesh: A Network Topology for Large-Scale Deep Learning
2022 Hoefler, Torsten; Bonato, Tommaso; DE SENSI, Daniele; Di Girolamo, Salvatore; Li, Shigang; Heddes, Marco; Belk, Jon; Goel, Deepak; Castro, Miguel; Scott, Steve
Improving the Performance of Actors on Multi-cores with Parallel Patterns
2020 Rinaldi, L.; Torquati, M.; De Sensi, D.; Mencagli, G.; Danelutto, M.
Mammut: High-level management of system knobs and sensors
2017 De Sensi, D; Torquati, M; Danelutto, M
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A power-aware, self-adaptive macro data flow framework | 2017 | Danelutto, M; De Sensi, D; Torquati, M | |
| A Reconfiguration Algorithm for Power-Aware Parallel Applications | 2016 | DE SENSI, Daniele; Torquati, Massimo; Danelutto, Marco | |
| An In-Depth Analysis of the Slingshot Interconnect | 2020 | De Sensi, D; Di Girolamo, S; Mcmahon, K; Roweth, D; Hoefler, T | |
| Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications | 2018 | Brogi, A; Danelutto, M; De Sensi, D; Ibrahim, A; Soldani, J; Torquati, M | |
| Application-Aware Power Capping Using Nornir | 2020 | De Sensi, D.; Danelutto, M. | |
| Autonomic and latency-aware degree of parallelism management in SPar | 2019 | Vogel, A; Griebler, D; De Sensi, D; Danelutto, M; Fernandes, L. G. | |
| Autonomic Management Experiences in Structured Parallel Programming | 2019 | Danelutto, M; De Sensi, D; Mencagli, G; Torquati, M | |
| Bringing Parallel Patterns Out of the Corner: The P(3)ARSEC Benchmark Suite | 2017 | De Sensi, D; De Matteis, T; Torquati, M; Mencagli, G; Danelutto, M | |
| Building Blocks for Network-Accelerated Distributed File Systems | 2022 | Di Girolamo, Salvatore; DE SENSI, Daniele; Taranov, Konstantin; Malesevic, Milos; Besta, Maciej; Schneider, Timo; Kistler, Severin; Hoefler, Torsten | |
| Canary: Congestion-aware in-network allreduce using dynamic trees | 2024 | De Sensi, D.; Costa Molero, E.; Di Girolamo, S.; Vanbever, L.; Hoefler, T. | |
| D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes | 2018 | Conte, Alessio; De Matteis, Tiziano; DE SENSI, Daniele; Grossi, Roberto; Marino, Andrea; Versari, Luca | |
| Deep Packet Inspection on Commodity Hardware using FastFlow | 2013 | Danelutto, M; Deri, L; De Sensi, D; Torquati, M | |
| Discovering k-Trusses in Large-Scale Networks | 2018 | Conte, A; De Sensi, D; Grossi, R; Marino, A; Versari, L | |
| Energy driven adaptivity in stream parallel computations | 2015 | Danelutto, M; De Sensi, D; Torquati, M | |
| Evaluating Concurrency Throttling and Thread Packing on SMT Multicores | 2017 | Danelutto, M; De Matteis, T; De Sensi, D; Torquati, M | |
| Flare: Flexible in-Network Allreduce | 2021 | De Sensi, D; Di Girolamo, S; Ashkboos, S; Li, S; Hoefler, T | |
| GASSER: an Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs | 2019 | De Matteis, Tiziano; Mencagli, Gabriele; DE SENSI, Daniele; Torquati, Massimo; Danelutto, Marco | |
| HammingMesh: A Network Topology for Large-Scale Deep Learning | 2022 | Hoefler, Torsten; Bonato, Tommaso; DE SENSI, Daniele; Di Girolamo, Salvatore; Li, Shigang; Heddes, Marco; Belk, Jon; Goel, Deepak; Castro, Miguel; Scott, Steve | |
| Improving the Performance of Actors on Multi-cores with Parallel Patterns | 2020 | Rinaldi, L.; Torquati, M.; De Sensi, D.; Mencagli, G.; Danelutto, M. | |
| Mammut: High-level management of system knobs and sensors | 2017 | De Sensi, D; Torquati, M; Danelutto, M |