activity
20152026
most citedImplementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

7 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Quantum Circuit Cutting: Complexity and Optimization

Yuval Idan, Eitan Zahavi, Elad Mentovich +2

The current noisy intermediate-scale quantum (NISQ) era is characterized by substantial errors and noise, which limit the practical feasibility of deep, many-qubit circuits. To add…

cs.NI2025★ 3 cited

Leveraging InfiniBand Controller to Configure Deadlock-Free Routing Engines for Dragonflies

German Maglione-Mathey, Jesus Escudero-Sahuquillo, Pedro Javier Garcia +2

The Dragonfly topology is currently one of the most popular network topologies in high-performance parallel systems. The interconnection networks of many of these systems are built…

cs.NI2022★ 7 cited

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler +4

As communication protocols evolve, datacenter network utilization increases. As a result, congestion is more frequent, causing higher latency and packet loss. Combined with the inc…

cs.NI2018★ 5 cited

Revisiting Network Support for RDMA

Radhika Mittal, Alexander Shpiner, Aurojit Panda +4

The advent of RoCE (RDMA over Converged Ethernet) has led to a significant increase in the use of RDMA in datacenter networks. To achieve good performance, RoCE requires a lossless…

cs.DC2015★ 2 cited

Links as a Service (LaaS): Feeling Alone in the Shared Cloud

Eitan Zahavi, Alex Shpiner, Ori Rottenstreich +2

The most demanding tenants of shared clouds require complete isolation from their neighbors, in order to guarantee that their application performance is not affected by other tenan…