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Daniele De Sensi
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2020 – today
- 2024
- [j15]Daniele De Sensi
, Edgar Costa Molero
Canary: Congestion-aware in-network allreduce using dynamic trees. Future Gener. Comput. Syst. 152: 70-82 (2024) - [c27]Piotr Luczynski
Near-Optimal Wafer-Scale Reduce. HPDC 2024: 334-347 - [c26]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 - [c25]Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler:
Swing: Short-cutting Rings for Higher Bandwidth Allreduce. NSDI 2024 - [c24]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: 247-263 - [i17]Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler:
Swing: Short-cutting Rings for Higher Bandwidth Allreduce. CoRR abs/2401.09356 (2024) - [i16]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 abs/2404.01630 (2024) - [i15]Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler:
Near-Optimal Wafer-Scale Reduce. CoRR abs/2404.15888 (2024) - [i14]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 abs/2407.21625 (2024) - [i13]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, Salvatore Di Girolamo, Torsten Hoefler:
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. CoRR abs/2408.14090 (2024) - [i12]Didem Unat, Ilyas Turimbetov, Mohammad Kefah Taha Issa, Dogan Sagbili, Flavio Vella, Daniele De Sensi, Ismayil Ismayilov:
The Landscape of GPU-Centric Communication. CoRR abs/2409.09874 (2024) - 2023
- [c23]Daniele De Sensi
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. SIGMETRICS (Abstracts) 2023: 17-18 - [i11]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 abs/2309.03628 (2023) - [i10]Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler:
Canary: Congestion-Aware In-Network Allreduce Using Dynamic Trees. CoRR abs/2309.16214 (2023) - [i9]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 abs/2310.03742 (2023) - 2022
- [j14]Kiril Dichev
Power Log'n'Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols. IEEE Trans. Parallel Distributed Syst. 33(6): 1276-1288 (2022) - [c22]Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler:
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CCS 2022: 2765-2778 - [c21]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: 10:1-10:14 - [c20]Torsten Hoefler, Tommaso Bonato
HammingMesh: A Network Topology for Large-Scale Deep Learning. SC 2022: 11:1-11:18 - [i8]Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler:
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CoRR abs/2202.08080 (2022) - [i7]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 abs/2206.10007 (2022) - [i6]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 abs/2209.01346 (2022) - [i5]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 abs/2210.15315 (2022) - 2021
- [j13]Daniele De Sensi
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 49:1-49:27 (2021) - [c19]Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler:
Flare: flexible in-network allreduce. SC 2021: 35 - [i4]Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler:
Flare: Flexible In-Network Allreduce. CoRR abs/2106.15565 (2021) - 2020
- [j12]Alessio Conte
Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. IEEE Access 8: 139096-139109 (2020) - [j11]Luca Rinaldi, Massimo Torquati
Improving the Performance of Actors on Multi-cores with Parallel Patterns. Int. J. Parallel Program. 48(4): 692-712 (2020) - [j10]Dalvan Griebler
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76(6): 4603-4628 (2020) - [c18]Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler:
An in-depth analysis of the slingshot interconnect. SC 2020: 35 - [i3]Demetrios A. M. Coutinho, Daniele De Sensi, Arthur Francisco Lorenzon, Kyriakos Georgiou
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems. CoRR abs/2005.02947 (2020) - [i2]Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler:
An In-Depth Analysis of the Slingshot Interconnect. CoRR abs/2008.08886 (2020)
2010 – 2019
- 2019
- [j9]Tiziano De Matteis
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access 7: 48753-48769 (2019) - [j8]Massimo Torquati
Power-aware pipelining with automatic concurrency control. Concurr. Comput. Pract. Exp. 31(5) (2019) - [j7]Marco Danelutto
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. Int. J. Parallel Program. 47(1): 74-93 (2019) - [c17]Daniele De Sensi
Transparent Autonomicity for OpenMP Applications. Euro-Par Workshops 2019: 54-64 - [c16]Marco Danelutto
Autonomic management experiences in structured parallel programming. HPCS 2019: 336-343 - [c15]Daniele De Sensi
Application-Aware Power Capping Using Nornir. PPAM (2) 2019: 191-202 - [c14]Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler:
Mitigating network noise on Dragonfly networks through application-aware routing. SC 2019: 16:1-16:32 - [i1]Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler:
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing. CoRR abs/1909.07865 (2019) - 2018
- [b1]Daniele De Sensi:
Self-Adaptive Solutions for Managing Performance and Power Consumption of Parallel Applications. University of Pisa, Italy, 2018 - [j6]Daniele De Sensi
Simplifying self-adaptive and power-aware computing with Nornir. Future Gener. Comput. Syst. 87: 136-151 (2018) - [j5]Antonio Brogi
Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications. Int. J. Parallel Program. 46(1): 81-100 (2018) - [c13]Adriano Vogel
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops 2018: 28-39 - [c12]Dalvan Griebler
Service Level Objectives via C++11 Attributes. Euro-Par Workshops 2018: 745-756 - [c11]Alessio Conte, Daniele De Sensi
Discovering $k$-Trusses in Large-Scale Networks. HPEC 2018: 1-6 - [c10]Alessio Conte, Tiziano De Matteis
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. KDD 2018: 1272-1281 - [c9]Massimo Torquati
Reducing Message Latency and CPU Utilization in the CAF Actor Framework. PDP 2018: 145-153 - 2017
- [j4]Marco Danelutto
A Power-Aware, Self-Adaptive Macro Data Flow Framework. Parallel Process. Lett. 27(1): 1740004:1-1740004:20 (2017) - [j3]Daniele De Sensi
Mammut: High-level management of system knobs and sensors. SoftwareX 6: 150-154 (2017) - [j2]Daniele De Sensi
Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14(4): 33:1-33:26 (2017) - [c8]Daniele De Sensi
Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. Euro-Par Workshops 2017: 42-54 - [c7]Daniele De Sensi
State-Aware Concurrency Throttling. PARCO 2017: 201-210 - [c6]Marco Danelutto
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. PDP 2017: 219-223 - [c5]Marco Danelutto
P3ARSEC: towards parallel patterns benchmarking. SAC 2017: 1582-1589 - 2016
- [j1]Daniele De Sensi
A Reconfiguration Algorithm for Power-Aware Parallel Applications. ACM Trans. Archit. Code Optim. 13(4): 43:1-43:25 (2016) - [c4]Daniele De Sensi
Predicting Performance and Power Consumption of Parallel Applications. PDP 2016: 200-207 - 2015
- [c3]Marco Danelutto
Energy Driven Adaptivity in Stream Parallel Computations. PDP 2015: 103-110 - 2013
- [c2]Marco Danelutto
Deep Packet Inspection on Commodity Hardware using FastFlow. PARCO 2013: 92-99 - 2011
- [c1]Marco Danelutto
Network Monitoring on Multicores with Algorithmic Skeletons. PARCO 2011: 519-526
Coauthor Index
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last updated on 2024-10-14 23:25 CEST by the dblp team
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