Daniele De Sensi

Orcid: 0000-0002-7244-639X

According to our database1, Daniele De Sensi authored at least 42 papers between 2011 and 2024.

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Bibliography

2024
Canary: Congestion-aware in-network allreduce using dynamic trees.
Future Gener. Comput. Syst., March, 2024

Swing: Short-cutting Rings for Higher Bandwidth Allreduce.
CoRR, 2024

2023
A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network.
CoRR, 2023

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs.
CoRR, 2023

2022
Power Log'n'Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols.
IEEE Trans. Parallel Distributed Syst., 2022

HammingMesh: A Network Topology for Large-Scale Deep Learning.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Building Blocks for Network-Accelerated Distributed File Systems.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Flare: flexible in-network allreduce.
Proceedings of the International Conference for High Performance Computing, 2021

2020
Simplifying and implementing service level objectives for stream parallelism.
J. Supercomput., 2020

Improving the Performance of Actors on Multi-cores with Parallel Patterns.
Int. J. Parallel Program., 2020

Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems.
CoRR, 2020

Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs.
IEEE Access, 2020

An in-depth analysis of the slingshot interconnect.
Proceedings of the International Conference for High Performance Computing, 2020

2019
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing.
Int. J. Parallel Program., 2019

Power-aware pipelining with automatic concurrency control.
Concurr. Comput. Pract. Exp., 2019

GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs.
IEEE Access, 2019

Mitigating network noise on Dragonfly networks through application-aware routing.
Proceedings of the International Conference for High Performance Computing, 2019

Application-Aware Power Capping Using Nornir.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

Autonomic management experiences in structured parallel programming.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Transparent Autonomicity for OpenMP Applications.
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018
Self-Adaptive Solutions for Managing Performance and Power Consumption of Parallel Applications.
PhD thesis, 2018

Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications.
Int. J. Parallel Program., 2018

Simplifying self-adaptive and power-aware computing with Nornir.
Future Gener. Comput. Syst., 2018

Reducing Message Latency and CPU Utilization in the CAF Actor Framework.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Discovering $k$-Trusses in Large-Scale Networks.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Autonomic and Latency-Aware Degree of Parallelism Management in SPar.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Service Level Objectives via C++11 Attributes.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017
Bringing Parallel Patterns Out of the Corner: The P<sup>3</sup> ARSEC Benchmark Suite.
ACM Trans. Archit. Code Optim., 2017

Mammut: High-level management of system knobs and sensors.
SoftwareX, 2017

A Power-Aware, Self-Adaptive Macro Data Flow Framework.
Parallel Process. Lett., 2017

P<sup>3</sup>ARSEC: towards parallel patterns benchmarking.
Proceedings of the Symposium on Applied Computing, 2017

Evaluating Concurrency Throttling and Thread Packing on SMT Multicores.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

State-Aware Concurrency Throttling.
Proceedings of the Parallel Computing is Everywhere, 2017

Nornir: A Customizable Framework for Autonomic and Power-Aware Applications.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016
A Reconfiguration Algorithm for Power-Aware Parallel Applications.
ACM Trans. Archit. Code Optim., 2016

Predicting Performance and Power Consumption of Parallel Applications.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
Energy Driven Adaptivity in Stream Parallel Computations.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

2013
Deep Packet Inspection on Commodity Hardware using FastFlow.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2011
Network Monitoring on Multicores with Algorithmic Skeletons.
Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011


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