22 citations · 23 across the 7 of their papers we have counts for
7 papers
The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Woong Shin, Renan Souza, Daniel Rosendo +4
Modern scientific discovery increasingly requires coordinating distributed facilities and heterogeneous resources, forcing researchers to act as manual workflow coordinators rather…
EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics
Ahmad Maroof Karimi, Woong Shin, Jesse Hines +3
We present EPIC, an AI-driven platform designed to augment operational data analytics. EPIC employs a hierarchical multi-agent architecture where a top-level large language model p…
Scaling the memory wall using mixed-precision -- HPG-MxP on an exascale machine
Aditya Kashi, Nicholson Koukpaizan, Hao Lu +3
Mixed-precision algorithms have been proposed as a way for scientific computing to benefit from some of the gains seen for artificial intelligence (AI) on recent high performance c…
Mixed-precision numerics in scientific applications: survey and perspectives
Aditya Kashi, Hao Lu, Wesley Brewer +4
The explosive demand for artificial intelligence (AI) workloads has led to a significant increase in silicon area dedicated to lower-precision computations on recent high-performan…
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
Wesley Brewer, Matthias Maiterth, Vineet Kumar +8
We present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers. It integrates three main modules: (1) a resource allocator…
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale
Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin +3
In the face of surging power demands for exascale HPC systems, this work tackles the critical challenge of understanding the impact of software-driven power management techniques l…
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads
Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin +1
In the exascale era in which application behavior has large power & energy footprints, per-application job-level awareness of such impression is crucial in taking steps towards ach…