Tommaso Bonato

Orcid: 0000-0002-2345-473X

According to our database1, Tommaso Bonato authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Network Design for Wafer-Scale Systems with Wafer-on-Wafer Hybrid Bonding.
CoRR, March, 2026

Spritz: Path-Aware Load Balancing in Low-Diameter Networks.
CoRR, February, 2026

Flowcut Switching: High-Performance Adaptive Routing With In-Order Delivery Guarantees.
IEEE Trans. Netw., 2026

REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation.
Proceedings of the 21st European Conference on Computer Systems, 2026

2025
Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity.
CoRR, October, 2025

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage.
Proceedings of the International Conference for High Performance Computing, 2025

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality.
Proceedings of the International Conference for High Performance Computing, 2025

Uno: A One-Stop Solution for Inter- and Intra-Data Center Congestion Control and Reliable Connectivity.
Proceedings of the International Conference for High Performance Computing, 2025

Demystifying NCCL: An In-Depth Analysis of GPU Communication Protocols and Algorithms.
Proceedings of the IEEE Symposium on High-Performance Interconnects, 2025

2024
REPS: Recycling Entropies for Packet Spraying to Adaptively Explore Paths and Mitigate Failures.
CoRR, 2024

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

Swing: Short-cutting Rings for Higher Bandwidth Allreduce.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

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


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