3 papers
cs.NI2026
Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
Eashan Gupta, Yongzhou Chen, Apoorve Mohan +3
Distributed AI training involves recurring rounds of data exchange between multiple pairs of GPU nodes. Slowdown in even one flow due to congestion can cause the entire communicati…
cs.NI2023
DBO: Response Time Fairness for Cloud-Hosted Financial Exchanges
Prateesh Goyal, Eashan Gupta, Ilias Marinos +3
In this paper, we consider the problem of hosting financial exchanges in the cloud. Financial exchanges require predictable, equal latency to all market participants to ensure fair…
cs.DM2022
Upper Bounds for All and Max-gain Policy Iteration Algorithms on Deterministic MDPs
Ritesh Goenka, Eashan Gupta, Sushil Khyalia +3
Policy Iteration (PI) is a widely used family of algorithms to compute optimal policies for Markov Decision Problems (MDPs). We derive upper bounds on the running time of PI on Det…