15 citations · 18 across the 15 of their papers we have counts for
17 papers
Tetris: Circuit Scheduling for Rearrangeably Non-Blocking Photonic Interconnects
Eliezer Amponsah, Deeksha P Rao, Vamsi Addanki
Reconfigurable photonic interconnects are emerging as a promising communication architecture for next-generation distributed computing. Yet, most circuit schedulers are designed ar…
Birkhoff Decompositions and Photonic Interconnects Wait! Don't Forget the Compute!
Eliezer Amponsah, Vamsi Addanki
The growing demand for efficient communication in distributed training and inference has sparked significant interest in reconfigurable photonic interconnects across both academia…
BShare: Packet Queueing Delay-Driven Buffer Sharing for Datacenter Switches
Krishna Agarwal, Muhamad Rizka Maulana, Vamsi Addanki +1
Modern datacenter switches share packet buffers across ports to boost overall throughput and reduce packet loss. However, as buffer availability per-port-per-bandwidth unit continu…
Harvest: Adaptive Photonic Switching Schedules for Collective Communication in Scale-up Domains
Mahir Rahman, Samuel Joseph, Nihar Kodkani +2
As chip-to-chip silicon photonics gain traction for their bandwidth and energy efficiency, their circuit-switched nature raises a fundamental question for collective communication:…
Trivance: Latency-Optimal AllReduce by Shortcutting Multiport Networks
Anton Juerss, Vamsi Addanki, Stefan Schmid
AllReduce is a fundamental collective communication operation in distributed computing and a key performance bottleneck for large-scale training and inference. Its completion time…
The Harmonic Policy for Online Buffer Sharing is (2 + ln n)-Competitive: A Simple Proof
Vamsi Addanki, Julien Dallot, Leon Kellerhals +2
The problem of online buffer sharing is expressed as follows. A switch with output ports receives a stream of incoming packets. When an incoming packet is accepted by the switc…
When Light Bends to the Collective Will: A Theory and Vision for Adaptive Photonic Scale-up Domains
Vamsi Addanki
As chip-to-chip silicon photonics gain traction for their bandwidth and energy efficiency, collective communication has emerged as a critical bottleneck in scale-up systems. Progra…
SHORTCUT: In-Collective Topology Reconfiguration for Low-Latency AllReduce
Sarah-Michelle Hammer, Stefan Schmid, Anton Juerss +2
Distributed ML training relies on efficient AllReduce communication to aggregate data across nodes. In this setting, reconfigurable optical interconnects offer high-bandwidth, ener…
Vermilion: A Traffic-Aware Reconfigurable Optical Interconnect with Formal Throughput Guarantees
Vamsi Addanki, Chen Avin, Goran Dario Knabe +6
The increasing gap between datacenter traffic volume and the capacity of electrical switches has driven the development of reconfigurable network designs utilizing optical circuit…
Ethereal: Divide and Conquer Network Load Balancing in Large-Scale Distributed Training
Vamsi Addanki, Prateesh Goyal, Ilias Marinos +1
Large-scale distributed training in production datacenters constitutes a challenging workload bottlenecked by network communication. In response, both major industry players (e.g.,…
Understanding the Throughput Bounds of Reconfigurable Datacenter Networks
Vamsi Addanki, Chen Avin, Stefan Schmid
The increasing gap between the growth of datacenter traffic volume and the capacity of electrical switches led to the emergence of reconfigurable datacenter network designs based o…
Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions
Vamsi Addanki, Maciej Pacut, Stefan Schmid
Packet buffers in datacenter switches are shared across all the switch ports in order to improve the overall throughput. The trend of shrinking buffer sizes in datacenter switches…
Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks
Vamsi Addanki, Chen Avin, Stefan Schmid
The performance of large-scale computing systems often critically depends on high-performance communication networks. Dynamically reconfigurable topologies, e.g., based on optical…
PowerTCP: Pushing the Performance Limits of Datacenter Networks
Vamsi Addanki, Oliver Michel, Stefan Schmid
Increasingly stringent throughput and latency requirements in datacenter networks demand fast and accurate congestion control. We observe that the reaction time and accuracy of exi…
Self-Adjusting Packet Classification
Maciej Pacut, Juan Vanerio, Vamsi Addanki +3
This paper is motivated by the vision of more efficient packet classification mechanisms that self-optimize in a demand-aware manner. At the heart of our approach lies a self-adjus…
Online List Access with Precedence Constraints
Maciej Pacut, Juan Vanerio, Vamsi Addanki +3
This paper considers a natural generalization of the online list access problem in the paid exchange model, where additionally there can be precedence constraints ("dependencies")…
Alias Resolution Based on ICMP Rate Limiting
Kevin Vermeulen, Burim Ljuma, Vamsi Addanki +4
Alias resolution techniques (e.g., Midar) associate, mostly through active measurement, a set of IP addresses as belonging to a common router. These techniques rely on distinct rou…