activity
20152026
most citedGraph of Thoughts: Solving Elaborate Problems with Large Language Models

483 citations · 3k across the 177 of their papers we have counts for

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19 papers · 1 filter

cs.NI2026

PCM: Programmable Congestion Management for Terabit RDMA NICs

Mikhail Khalilov, Timo Schneider, Tommaso Bonato +10

Datacenter congestion control (CC) and load balancing (LB) evolve rapidly as workload demands change, but deployment depends on RDMA hardware and transport interfaces. Emerging pro…

cs.NI2026★ 2 cited

Resilient AI Supercomputer Networking using MRC and SRv6

Joao Araujo, Alex Chow, Mark Handley +47

Tail latency dominates the performance of synchronous pretraining jobs when running at very large scales. We describe a three-pronged approach: (1) a new RDMA-based transport proto…

cs.NI2024★ 11 cited

REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation

Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +7

Next-generation datacenters require highly efficient network load balancing to manage the growing scale of artificial intelligence (AI) training and general datacenter traffic. How…

cs.NI2024★ 1 cited

FPsPIN: An FPGA-based Open-Hardware Research Platform for Processing in the Network

Timo Schneider, Pengcheng Xu, Torsten Hoefler

In the era of post-Moore computing, network offload emerges as a solution to two challenges: the imperative for low-latency communication and the push towards hardware specialisati…

cs.NI2024

SMaRTT: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport

Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +10

With the rapid growth of artificial intelligence (AI) workloads in datacenters, the Ultra Ethernet Consortium (UEC) has defined a new high-performance transport layer to deliver th…

cs.NI2023★ 1 cited

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

Nils Blach, Maciej Besta, Daniele De Sensi +10

Novel low-diameter network topologies such as Slim Fly (SF) offer significant cost and power advantages over the established Fat Tree, Clos, or Dragonfly. To spearhead the adoption…

cs.NI2023★ 3 cited

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs

Mikhail Khalilov, Marcin Chrapek, Siyuan Shen +7

Multi-tenancy is essential for unleashing SmartNIC's potential in datacenters. Our systematic analysis in this work shows that existing on-path SmartNICs have resource multiplexing…

cs.NI2023★ 13 cited

PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks

Kartik Lakhotia, Laura Monroe, Kelly Isham +4

We present PolarStar, a novel family of diameter-3 network topologies derived from the star product of low-diameter factor graphs. PolarStar gives the largest known diameter-3 netw…

cs.NI2023★ 4 cited

Datacenter Ethernet and RDMA: Issues at Hyperscale

Torsten Hoefler, Duncan Roweth, Keith Underwood +9

We observe that emerging artificial intelligence, high-performance computing, and storage workloads pose new challenges for large-scale datacenter networking. RDMA over Converged E…

cs.NI2022

Efficient RDMA Communication Protocols

Konstantin Taranov, Fabian Fischer, Torsten Hoefler

Developers of networked systems often work with low-level RDMA libraries to tailor network modules to take full advantage of offload capabilities offered by RDMA-capable network co…

cs.NI2022★ 21 cited

PolarFly: A Cost-Effective and Flexible Low-Diameter Topology

Kartik Lakhotia, Maciej Besta, Laura Monroe +4

In this paper we present PolarFly, a diameter-2 network topology based on the Erdos-Renyi family of polarity graphs from finite geometry. This is a highly scalable low-diameter top…

cs.NI2022

Building Blocks for Network-Accelerated Distributed File Systems

Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov +5

High-performance clusters and datacenters pose increasingly demanding requirements on storage systems. If these systems do not operate at scale, applications are doomed to become I…

cs.NI2021

EvalNet: A Practical Toolchain for Generation and Analysis of Extreme-Scale Interconnects

Maciej Besta, Patrick Iff, Marcel Schneider +10

The diversity of communication paths in a network, especially non-minimal paths, is a key enabler of performance at extreme scales. We present EvalNet, a toolchain for scalable gen…

cs.NI2020★ 5 cited

PsPIN: A high-performance low-power architecture for flexible in-network compute

Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu +5

The capacity of offloading data and control tasks to the network is becoming increasingly important, especially if we consider the faster growth of network speed when compared to C…

cs.NI2020

High-Performance Routing with Multipathing and Path Diversity in Ethernet and HPC Networks

Maciej Besta, Jens Domke, Marcel Schneider +5

The recent line of research into topology design focuses on lowering network diameter. Many low-diameter topologies such as Slim Fly or Jellyfish that substantially reduce cost, po…

cs.NI2019★ 1 cited

Slim Fly: A Cost Effective Low-Diameter Network Topology

Maciej Besta, Torsten Hoefler

We introduce a high-performance cost-effective network topology called Slim Fly that approaches the theoretically optimal network diameter. Slim Fly is based on graphs that approxi…

cs.NI2019★ 25 cited

Network-Accelerated Non-Contiguous Memory Transfers

Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth +7

Applications often communicate data that is non-contiguous in the send- or the receive-buffer, e.g., when exchanging a column of a matrix stored in row-major order. While non-conti…

cs.NI2019★ 1 cited

FatPaths: Routing in Supercomputers and Data Centers when Shortest Paths Fall Short

Maciej Besta, Marcel Schneider, Karolina Cynk +5

We introduce FatPaths: a simple, generic, and robust routing architecture that enables state-of-the-art low-diameter topologies such as Slim Fly to achieve unprecedented performanc…

cs.NI2016★ 11 cited

SDNsec: Forwarding Accountability for the SDN Data Plane

Takayuki Sasaki, Christos Pappas, Taeho Lee +2

SDN promises to make networks more flexible, programmable, and easier to manage. Inherent security problems in SDN today, however, pose a threat to the promised benefits. First, th…