Michael E. Papka
Scholar

Michael E. Papka

Google Scholar ID: pQwfBFwAAAAJ
University of Illinois Chicago / Argonne National Laboratory / University of Chicago
visualizationanalysishigh performance computing
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Citations & Impact
All-time
Citations
7,227
 
H-index
40
 
i10-index
123
 
Publications
20
 
Co-authors
42
list available
Contact
No contact links provided.
Publications
15 items
MARS: A Monte Carlo Tree Search-based Adaptive and Responsive Scheduler
2026
Cited
0
A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments
2026
Cited
0
Probabilistic Attribution For Large Language Models
2026
Cited
0
EnergyLens: Interpretable Closed-Form Energy Models for Multimodal LLM Inference Serving
2026
Cited
0
Towards Energy Efficient Co-Scheduling in HPC
2026
Cited
0
EcoShift: Performance-Aware Power Management for Power-Constrained Heterogeneous Systems
2026
Cited
0
Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics
2026
Cited
0
A Real-Time Digital Twin for Adaptive Scheduling
2025
Cited
0
Resume (English only)
Co-authors
42 total
Venkatram Vishwanath
Venkatram Vishwanath
Computer Scientist, Argonne National Laboratory
Rick Stevens
Rick Stevens
Professor of Computer Science, University of Chicago
Co-author 3
Co-author 3
Thomas D. Uram
Thomas D. Uram
Argonne National Laboratory
Ian T. Foster
Ian T. Foster
University of Chicago and Argonne National Laboratory
Silvio Rizzi
Silvio Rizzi
Argonne National Laboratory
Jason Leigh
Jason Leigh
Professor of Computer Science, University of Hawaiʻi at Mānoa, and University of Illinois at Chicago
Co-author 8
Co-author 8