Network Monitoring on Multicores with Algorithmic Skeletons. - Marco Danelutto; Luca Deri; Daniele De Sensi (PARCO, 2011)

Deep Packet Inspection on Commodity Hardware using FastFlow. - Marco Danelutto; Luca Deri; Daniele De Sensi; Massimo Torquati (PARCO, 2013)

Energy Driven Adaptivity in Stream Parallel Computations. - Marco Danelutto; Daniele De Sensi; Massimo Torquati (PDP, 2015)

Predicting Performance and Power Consumption of Parallel Applications. - Daniele De Sensi (PDP, 2016)

A Reconfiguration Algorithm for Power-Aware Parallel Applications. - Daniele De Sensi; Massimo Torquati; Marco Danelutto (ACM Trans. Archit. Code Optim., 2016)

Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. - Daniele De Sensi; Tiziano De Matteis; Marco Danelutto (Euro-Par Workshops, 2017)

State-Aware Concurrency Throttling. - Daniele De Sensi; Peter Kilpatrick; Massimo Torquati (PARCO, 2017)

Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Massimo Torquati (PDP, 2017)

P3ARSEC: towards parallel patterns benchmarking. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati (SAC, 2017)

A Power-Aware, Self-Adaptive Macro Data Flow Framework. - Marco Danelutto; Daniele De Sensi; Massimo Torquati (Parallel Process. Lett., 2017)

Mammut: High-level management of system knobs and sensors. - Daniele De Sensi; Massimo Torquati; Marco Danelutto (SoftwareX, 2017)

Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. - Daniele De Sensi; Tiziano De Matteis; Massimo Torquati; Gabriele Mencagli; Marco Danelutto (ACM Trans. Archit. Code Optim., 2017)

Service Level Objectives via C++11 Attributes. - Dalvan Griebler; Daniele De Sensi; Adriano Vogel; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

Autonomic and Latency-Aware Degree of Parallelism Management in SPar. - Adriano Vogel; Dalvan Griebler; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

Discovering $k$-Trusses in Large-Scale Networks. - Alessio Conte; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (HPEC, 2018)

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. - Alessio Conte; Tiziano De Matteis; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (KDD, 2018)

Reducing Message Latency and CPU Utilization in the CAF Actor Framework. - Massimo Torquati; Tullio Menga; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli (PDP, 2018)

Simplifying self-adaptive and power-aware computing with Nornir. - Daniele De Sensi; Tiziano De Matteis; Marco Danelutto (Future Gener. Comput. Syst., 2018)

Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications. - Antonio Brogi; Marco Danelutto; Daniele De Sensi; Ahmad Ibrahim 001; Jacopo Soldani; Massimo Torquati (Int. J. Parallel Program., 2018)

Self-Adaptive Solutions for Managing Performance and Power Consumption of Parallel Applications. - Daniele De Sensi (2018)

Transparent Autonomicity for OpenMP Applications. - Daniele De Sensi; Marco Danelutto (Euro-Par Workshops, 2019)

Autonomic management experiences in structured parallel programming. - Marco Danelutto; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati (HPCS, 2019)

Application-Aware Power Capping Using Nornir. - Daniele De Sensi; Marco Danelutto (PPAM (2), 2019)

Mitigating network noise on Dragonfly networks through application-aware routing. - Daniele De Sensi; Salvatore Di Girolamo; Torsten Hoefler (SC, 2019)

GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. - Tiziano De Matteis; Gabriele Mencagli; Daniele De Sensi; Massimo Torquati; Marco Danelutto (IEEE Access, 2019)

Power-aware pipelining with automatic concurrency control. - Massimo Torquati; Daniele De Sensi; Gabriele Mencagli; Marco Aldinucci; Marco Danelutto (Concurr. Comput. Pract. Exp., 2019)

The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati; Marco Aldinucci; Peter Kilpatrick (Int. J. Parallel Program., 2019)

An in-depth analysis of the slingshot interconnect. - Daniele De Sensi; Salvatore Di Girolamo; Kim H. McMahon; Duncan Roweth; Torsten Hoefler (SC, 2020)

Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. - Alessio Conte; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (IEEE Access, 2020)

Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems. - Demetrios A. M. Coutinho; Daniele De Sensi; Arthur Francisco Lorenzon; Kyriakos Georgiou; José L. Núñez-Yáñez; Kerstin Eder; Samuel Xavier de Souza (CoRR, 2020)

Improving the Performance of Actors on Multi-cores with Parallel Patterns. - Luca Rinaldi; Massimo Torquati; Daniele De Sensi; Gabriele Mencagli; Marco Danelutto (Int. J. Parallel Program., 2020)

Simplifying and implementing service level objectives for stream parallelism. - Dalvan Griebler; Adriano Vogel; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (J. Supercomput., 2020)

Flare: flexible in-network allreduce. - Daniele De Sensi; Salvatore Di Girolamo; Saleh Ashkboos; Shigang Li 002; Torsten Hoefler (SC, 2021)

Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. - Daniele De Sensi; Tiziano De Matteis; Konstantin Taranov; Salvatore Di Girolamo; Tobias Rahn; Torsten Hoefler (Proc. ACM Meas. Anal. Comput. Syst., 2021)

NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. - Konstantin Taranov; Benjamin Rothenberger; Daniele De Sensi; Adrian Perrig; Torsten Hoefler (CCS, 2022)

Building Blocks for Network-Accelerated Distributed File Systems. - Salvatore Di Girolamo; Daniele De Sensi; Konstantin Taranov; Milos Malesevic; Maciej Besta; Timo Schneider; Severin Kistler; Torsten Hoefler (SC, 2022)

HammingMesh: A Network Topology for Large-Scale Deep Learning. - Torsten Hoefler; Tommaso Bonato; Daniele De Sensi; Salvatore Di Girolamo; Shigang Li 002; Marco Heddes; Jon Belk; Deepak Goel; Miguel Castro 001; Steve Scott (SC, 2022)

Power Log'n'Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols. - Kiril Dichev; Daniele De Sensi; Dimitrios S. Nikolopoulos; Kirk W. Cameron; Ivor T. A. Spence (IEEE Trans. Parallel Distributed Syst., 2022)

Near-Optimal Wafer-Scale Reduce. - Piotr Luczynski; Lukas Gianinazzi; Patrick Iff; Leighton Wilson; Daniele De Sensi; Torsten Hoefler (HPDC, 2024)

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. - Nils Blach; Maciej Besta; Daniele De Sensi; Jens Domke; Hussein Harake; Shigang Li 002; Patrick Iff; Marek Konieczny; Kartik Lakhotia; Ales Kubicek; Marcel Ferrari; Fabrizio Petrini; et al. (NSDI, 2024)

Swing: Short-cutting Rings for Higher Bandwidth Allreduce. - Daniele De Sensi; Tommaso Bonato; David Saam; Torsten Hoefler (NSDI, 2024)

Benchmarking Ethernet Interconnect for HPC/AI workloads. - Lorenzo Pichetti; Daniele De Sensi; Karthee Sivalingam; Stepan Nassyr; Daniele Cesarini; Matteo Turisini; Dirk Pleiter; Aldo Artigiani; Flavio Vella (SC Workshops, 2024)

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. - Daniele De Sensi; Lorenzo Pichetti; Flavio Vella; Tiziano De Matteis; Zebin Ren; Luigi Fusco; Matteo Turisini; Daniele Cesarini; Kurt Lust; Animesh Trivedi; Duncan Roweth; Filippo Spiga; et al. (SC, 2024)

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. - Mikhail Khalilov; Marcin Chrapek; Siyuan Shen; Alessandro Vezzu; Thomas Benz; Salvatore Di Girolamo; Timo Schneider; Daniele De Sensi; Luca Benini; Torsten Hoefler (USENIX ATC, 2024)

SMaRTT-REPS: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport with Recycled Entropies. - 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; et al. (CoRR, 2024)

REPS: Recycling Entropies for Packet Spraying to Adaptively Explore Paths and Mitigate Failures. - Tommaso Bonato; Abdul Kabbani; Ahmad Ghalayini; Mohammad Dohadwala; Michael Papamichael; Daniele De Sensi; Torsten Hoefler (CoRR, 2024)

The Landscape of GPU-Centric Communication. - Didem Unat; Ilyas Turimbetov; Mohammad Kefah Taha Issa; Dogan Sagbili; Flavio Vella; Daniele De Sensi; Ismayil Ismayilov (CoRR, 2024)

Canary: Congestion-aware in-network allreduce using dynamic trees. - Daniele De Sensi; Edgar Costa Molero; Salvatore Di Girolamo; Laurent Vanbever; Torsten Hoefler (Future Gener. Comput. Syst., 2024)

HammingMesh: A Network Topology for Large-Scale Deep Learning. - Torsten Hoefler; Tommaso Bonoto; Daniele De Sensi; Salvatore Di Girolamo; Shigang Li 002; Marco Heddes; Deepak Goel; Miguel Castro 001; Steve Scott (Commun. ACM, 2024)

Flowcut Switching: High-Performance Adaptive Routing with In-Order Delivery Guarantees. - Tommaso Bonato; Daniele De Sensi; Salvatore Di Girolamo; Abdulla Bataineh; David Hewson; Duncan Roweth; Torsten Hoefler (CoRR, 2025)