Charles F. Jekel

According to our database, Charles F. Jekel authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems.

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

CoRR, March, 2026

Understanding and Improving Communication Performance in Multi-node LLM Inference.

Prajwal Singhania, Siddharth Singh, Lannie Dalton Hough, Akarsh Srivastava, Harshitha Menon, Charles Fredrick Jekel, Abhinav Bhatele

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Optimizing Agentic Language Model Inference via Speculative Tool Calls.

Daniel Nichols, Prajwal Singhania, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon

CoRR, December, 2025

LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication.

Prajwal Singhania, Siddharth Singh, Lannie Dalton Hough, Akarsh Srivastava, Harshitha Menon, Charles F. Jekel, Abhinav Bhatele

CoRR, November, 2025

Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy.

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

CoRR, October, 2025

Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization.

Daniel Nichols, Konstantinos Parasyris, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon

CoRR, October, 2025

2024

Machine learning visualization tool for exploring parameterized hydrodynamics ^*.

Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof

Mach. Learn. Sci. Technol., 2024

Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics.

Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, Philip Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof

CoRR, 2024

2022

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities.

Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof

CoRR, 2022

Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors.

Charles F. Jekel, Kenneth E. Swartz, Daniel A. White, Daniel A. Tortorelli, Seth E. Watts

CoRR, 2022

2021

Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions.

Charles F. Jekel, Raphael T. Haftka

CoRR, 2021

2018

Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings.

Charles F. Jekel, Raphael T. Haftka

CoRR, 2018