1 citations · 1 across the 5 of their papers we have counts for
5 papers
Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation
Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey Fox
Monte Carlo simulation of calorimeter showers is a principal bottleneck for the High-Luminosity LHC, and diffusion models have emerged as fast, high-fidelity surrogates. Their deno…
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey Fox
The pursuit of understanding fundamental particle interactions has reached unparalleled precision levels. Particle physics detectors play a crucial role in generating low-level obj…
Launchpad: Learning to Schedule Using Offline and Online RL Methods
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw +1
Deep reinforcement learning algorithms have succeeded in several challenging domains. Classic Online RL job schedulers can learn efficient scheduling strategies but often takes tho…
RARE: Renewable Energy Aware Resource Management in Datacenters
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw +1
The exponential growth in demand for digital services drives massive datacenter energy consumption and negative environmental impacts. Promoting sustainable solutions to pressing e…
Job Scheduling in Datacenters using Constraint Controlled RL
Vanamala Venkataswamy
This paper studies a model for online job scheduling in green datacenters. In green datacenters, resource availability depends on the power supply from the renewables. Intermittent…