Harshit Soora [University of Maryland]
Harshit Soora is a Master’s student in the Department of Computer Science at the University of Maryland. He works as a Graduate Research Assistant under Prof. Alan Sussman, collaborating closely with the Ohio Supercomputing Center as part of their core developer team. Before joining UMD, he spent over three years at NVIDIA, specializing in cloud computing and scaling AI models. He holds a Bachelor’s degree in Computer Science and Engineering from IIT Kharagpur.
Session
Executing multi-task computational research workflows on HPC systems often requires manual scripting, resource manager and scheduler expertise. It creates barriers for researchers and educators, especially at smaller institutions or in multidisciplinary collaborations. Although OOD provides an accessible web-based interface for launching standalone applications as jobs, it has lacked an integrated mechanism to easily compose, manage, and execute multiple tasks with dependencies among them as Workflows. Workflows enabled researchers to visually construct, execute, and monitor simple composition of multiple “launchers” (i.e. independent tasks/jobs) that can perform data pre- or post-processing, simulation, and other computational tasks connected via output to input dependencies.