Charles F. Jekel

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems.
CoRR
Harshitha Menon, Charles F. Jekel, Kevin Korner, Brian Gunnarson, Nathan K. Brown, Michael Stees, M. Giselle Fernández-Godino, Walter Nissen, Meir H. Shachar, Dane M. Sterbentz, William Schill, Yue Hao, Robert N. Rieben, William Roshan Quadros, Steven Owen, Scott Mitchell, Ismael D. Boureima, Jonathan L. Belof
2025 J jnl
Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization.
CoRR
Daniel Nichols, Konstantinos Parasyris, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025 J jnl
LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication.
CoRR
Prajwal Singhania, Siddharth Singh, Lannie Dalton Hough, Akarsh Srivastava, Harshitha Menon, Charles F. Jekel, Abhinav Bhatele
2025 J jnl
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy.
CoRR
Meir H. Shachar, Dane M. Sterbentz, Harshitha Menon, Charles F. Jekel, M. Giselle Fernández-Godino, Nathan K. Brown, Ismael D. Boureima, Yue Hao, Kevin Körner, Robert N. Rieben, Daniel A. White, William Schill, Jonathan L. Belof
2025 J jnl
Optimizing Agentic Language Model Inference via Speculative Tool Calls.
CoRR
Daniel Nichols, Prajwal Singhania, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2024 J jnl
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics.
CoRR
Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof
2024 J jnl
Machine learning visualization tool for exploring parameterized hydrodynamics
Mach. Learn. Sci. Technol.
Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof
2022 J jnl
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors.
CoRR
Charles F. Jekel, Kenneth E. Swartz, Daniel A. White, Daniel A. Tortorelli, Seth E. Watts
2022 J jnl
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities.
CoRR
Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof
2021 J jnl
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions.
CoRR
Charles F. Jekel, Raphael T. Haftka
2018 J jnl
Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings.
CoRR
Charles F. Jekel, Raphael T. Haftka