Daniele De Sensi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 54

Top Topics

Parallel Computation

Benchmark Suite

Concurrency Control

Top Venues

Euro-Par Workshops

Publications

Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler
Swing: Short-cutting Rings for Higher Bandwidth Allreduce. NSDI (2024)
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
Near-Optimal Wafer-Scale Reduce. CoRR (2024)
Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler
Canary: Congestion-aware in-network allreduce using dynamic trees. Future Gener. Comput. Syst. 152 (2024)
Mikhail Khalilov, Marcin Chrapek, Siyuan Shen, Alessandro Vezzu, Thomas Benz, Salvatore Di Girolamo, Timo Schneider, Daniele De Sensi, Luca Benini, Torsten Hoefler
OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. USENIX ATC (2024)
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini, Mohammad Dohadwala, Michael Papamichael, Daniele De Sensi, Torsten Hoefler
REPS: Recycling Entropies for Packet Spraying to Adaptively Explore Paths and Mitigate Failures. CoRR (2024)
Tommaso Bonato, Abdul Kabbani, Daniele De Sensi, Rong Pan, Yanfang Le, Costin Raiciu, Mark Handley, Timo Schneider, Nils Blach, Ahmad Ghalayini, Daniel S. F. Alves, Michael Papamichael, Adrian M. Caulfield, Torsten Hoefler
SMaRTT-REPS: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport with Recycled Entropies. CoRR (2024)
Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler
Swing: Short-cutting Rings for Higher Bandwidth Allreduce. CoRR (2024)
Nils Blach, Maciej Besta, Daniele De Sensi, Jens Domke, Hussein Harake, Shigang Li, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler
A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. NSDI (2024)
Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. SIGMETRICS (Abstracts) (2023)
Nils Blach, Maciej Besta, Daniele De Sensi, Jens Domke, Hussein Harake, Shigang Li, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler
A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. CoRR (2023)
Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler
Canary: Congestion-Aware In-Network Allreduce Using Dynamic Trees. CoRR (2023)
Mikhail Khalilov, Marcin Chrapek, Siyuan Shen, Alessandro Vezzu, Thomas Benz, Salvatore Di Girolamo, Timo Schneider, Daniele De Sensi, Luca Benini, Torsten Hoefler
OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. CoRR (2023)
Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov, Milos Malesevic, Maciej Besta, Timo Schneider, Severin Kistler, Torsten Hoefler
Building Blocks for Network-Accelerated Distributed File Systems. SC (2022)
Kiril Dichev, Daniele De Sensi, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Ivor T. A. Spence
Power Log'n'Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols. IEEE Trans. Parallel Distributed Syst. 33 (6) (2022)
Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CoRR (2022)
Torsten Hoefler, Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Jon Belk, Deepak Goel, Miguel Castro, Steve Scott
HammingMesh: A Network Topology for Large-Scale Deep Learning. CoRR (2022)
Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov, Milos Malesevic, Maciej Besta, Timo Schneider, Severin Kistler, Torsten Hoefler
Building Blocks for Network-Accelerated Distributed File Systems. CoRR (2022)
Torsten Hoefler, Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Jon Belk, Deepak Goel, Miguel Castro, Steve Scott
HammingMesh: A Network Topology for Large-Scale Deep Learning. SC (2022)
Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CCS (2022)
Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. CoRR (2022)
Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
Flare: Flexible In-Network Allreduce. CoRR (2021)
Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
Flare: flexible in-network allreduce. SC (2021)
Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)
Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
An In-Depth Analysis of the Slingshot Interconnect. CoRR (2020)
Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
An in-depth analysis of the slingshot interconnect. SC (2020)
Demetrios A. M. Coutinho, Daniele De Sensi, Arthur Francisco Lorenzon, Kyriakos Georgiou, José L. Núñez-Yáñez, Kerstin Eder, Samuel Xavier de Souza
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems. CoRR (2020)
Luca Rinaldi, Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Danelutto
Improving the Performance of Actors on Multi-cores with Parallel Patterns. Int. J. Parallel Program. 48 (4) (2020)
Dalvan Griebler, Adriano Vogel, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76 (6) (2020)
Alessio Conte, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari
Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. IEEE Access 8 (2020)
Marco Danelutto, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
Autonomic management experiences in structured parallel programming. HPCS (2019)
Daniele De Sensi, Marco Danelutto
Application-Aware Power Capping Using Nornir. PPAM (2) (2019)
Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing. CoRR (2019)
Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler
Mitigating network noise on Dragonfly networks through application-aware routing. SC (2019)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati, Marco Aldinucci, Peter Kilpatrick
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. Int. J. Parallel Program. 47 (1) (2019)
Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Aldinucci, Marco Danelutto
Power-aware pipelining with automatic concurrency control. Concurr. Comput. Pract. Exp. 31 (5) (2019)
Tiziano De Matteis, Gabriele Mencagli, Daniele De Sensi, Massimo Torquati, Marco Danelutto
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access 7 (2019)
Daniele De Sensi, Marco Danelutto
Transparent Autonomicity for OpenMP Applications. Euro-Par Workshops (2019)
Alessio Conte, Tiziano De Matteis, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. KDD (2018)
Massimo Torquati, Tullio Menga, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli
Reducing Message Latency and CPU Utilization in the CAF Actor Framework. PDP (2018)
Antonio Brogi, Marco Danelutto, Daniele De Sensi, Ahmad Ibrahim, Jacopo Soldani, Massimo Torquati
Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications. Int. J. Parallel Program. 46 (1) (2018)
Daniele De Sensi, Tiziano De Matteis, Marco Danelutto
Simplifying self-adaptive and power-aware computing with Nornir. Future Gener. Comput. Syst. 87 (2018)
Dalvan Griebler, Daniele De Sensi, Adriano Vogel, Marco Danelutto, Luiz Gustavo Fernandes
Service Level Objectives via C++11 Attributes. Euro-Par Workshops (2018)
Alessio Conte, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari
Discovering $k$-Trusses in Large-Scale Networks. HPEC (2018)
Adriano Vogel, Dalvan Griebler, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops (2018)
Daniele De Sensi, Massimo Torquati, Marco Danelutto
Mammut: High-level management of system knobs and sensors. SoftwareX 6 (2017)
Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14 (4) (2017)
Marco Danelutto, Daniele De Sensi, Massimo Torquati
A Power-Aware, Self-Adaptive Macro Data Flow Framework. Parallel Process. Lett. 27 (1) (2017)
Daniele De Sensi, Peter Kilpatrick, Massimo Torquati
State-Aware Concurrency Throttling. PARCO (2017)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Massimo Torquati
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. PDP (2017)
Daniele De Sensi, Tiziano De Matteis, Marco Danelutto
Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. Euro-Par Workshops (2017)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
ARSEC: towards parallel patterns benchmarking. SAC (2017)
Daniele De Sensi
Predicting Performance and Power Consumption of Parallel Applications. PDP (2016)
Daniele De Sensi, Massimo Torquati, Marco Danelutto
A Reconfiguration Algorithm for Power-Aware Parallel Applications. ACM Trans. Archit. Code Optim. 13 (4) (2016)
Marco Danelutto, Daniele De Sensi, Massimo Torquati
Energy Driven Adaptivity in Stream Parallel Computations. PDP (2015)
Marco Danelutto, Luca Deri, Daniele De Sensi, Massimo Torquati
Deep Packet Inspection on Commodity Hardware using FastFlow. PARCO (2013)
Marco Danelutto, Luca Deri, Daniele De Sensi
Network Monitoring on Multicores with Algorithmic Skeletons. PARCO (2011)