Radhika Ghosal — accepted AI-conference papers

2026

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture

Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Ma +21

ICML 2026poster

The field of computer architecture, which bridges high-level software abstractions and low-level hardware implementations, remains absent from current large language model (LLM) evaluations. To this end, we present QuArch (pronounced 'quark'), the first benchmark designed to facilitate the developme…

Cited by 0 Source ↗Scholar ↗

2022

GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients

Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi

ICRA 2022poster

We introduce GRiD: a GPU-accelerated library for computing rigid body dynamics with analytical gradients. GRiD was designed to accelerate the nonlinear trajectory opti-mization subproblem used in state-of-the-art robotic planning, control, and machine learning, which requires tens to hundreds of nat…

Cited by 28 Source ↗Scholar ↗