activity
20192026
most citedMLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems

3 citations · 5 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.DC2026

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments

Shilpika Shilpika, Bethany Lusch, Eric Pershey +3

Modern supercomputers housed in High Performance Computing (HPC) environments generate massive volumes of log data daily, revealing intricate information and performance metrics ab…

cs.DC2026

Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics

Allison Austin, Shilpika, Yan To Linus Lam +4

In high-performance computing (HPC) environments, system monitoring data is often unlabeled and high-dimensional, making it difficult to reliably detect and understand anomalous co…

cs.DC2025

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems

Shilpika Shilpika, Bethany Lusch, Venkatram Vishwanath +1

With the growing complexity in architecture and the size of large-scale computing systems, monitoring and analyzing system behavior and events has become daunting. Monitoring data…

cs.DC20212 cited

Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers

Michael Salim, Thomas Uram, J. Taylor Childers +2

Massive upgrades to science infrastructure are driving data velocities upwards while stimulating adoption of increasingly data-intensive analytics. While next-generation exascale s…

cs.DC2019

Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows

Michael A. Salim, Thomas D. Uram, J. Taylor Childers +3

We introduce the Balsam service to manage high-throughput task scheduling and execution on supercomputing systems. Balsam allows users to populate a task database with a variety of…

cs.DC2019

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping

Wushi Dong, Murat Keceli, Rafael Vescovi +9

Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling network (FFN) architecture has demons…