Shirley V. Moore

According to our database, Shirley V. Moore authored at least 22 papers between 2016 and 2026.

Collaborative distances:

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

2026

Design of a Unified Monitoring Tool for Detecting Anomalies in High Performance Computing Systems.

Arin Rahman, Shirley V. Moore, Deepak K. Tosh

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

2025

AI Benchmark Democratization and Carpentry.

Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox

CoRR, December, 2025

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection.

William Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua Suetterlein, Joseph B. Manzano

CoRR, March, 2025

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning.

William Marfo, Pablo Moriano, Deepak K. Tosh, Shirley V. Moore

IEEE Trans. Inf. Forensics Secur., 2025

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Efficient Client Selection in Federated Learning.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

Network Anomaly Detection in Distributed Edge Computing Infrastructure.

William Marfo, Enrique A. Rico, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

Semi-Automatic Compile-Time Math Intrinsic Optimization Using LLVM.

Kristalys Ruiz-Rohena, Christoph Quirin Lauter, Shirley V. Moore

Proceedings of the 59th Asilomar Conference on Signals, 2025

The Effect of Using Mixed Precision on Performance and Accuracy of GNN Workloads in Scientific ML.

Briana Cervantes, Shirley V. Moore

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Enhancing Network Anomaly Detection Using Graph Neural Networks.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 22nd Mediterranean Communication and Computer Networking Conference, 2024

2022

Propagation Pattern for Moment Representation of the Lattice Boltzmann Method.

John Gounley, Madhurima Vardhan, Erik W. Draeger, Pedro Valero-Lara, Shirley V. Moore, Amanda Randles

IEEE Trans. Parallel Distributed Syst., 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.

Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang

Int. J. High Perform. Comput. Appl., 2022

Condition monitoring and anomaly detection in cyber-physical systems.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

Network Anomaly Detection Using Federated Learning.

William Marfo, Deepak K. Tosh, Shirley V. Moore

Proceedings of the IEEE Military Communications Conference, 2022

High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory.

Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamín Hernández, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2020

QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation.

Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski

ACM J. Emerg. Technol. Comput. Syst., 2020

2018

Aspen-based performance and energy modeling frameworks.

Mariam Umar, Shirley V. Moore, Jeremy S. Meredith, Jeffrey S. Vetter, Kirk W. Cameron

J. Parallel Distributed Comput., 2018

Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen.

Mariam Umar, Shirley V. Moore, Jeffrey S. Vetter, Kirk W. Cameron

Proceedings of the 26th IEEE International Symposium on Modeling, 2018

Tuyere: enabling scalable memory workloads for system exploration.

Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, Seyong Lee

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2016

Code Complexity versus Performance for GPU-accelerated Scientific Applications.

W. K. Umayanganie Munipala, Shirley V. Moore

Proceedings of the Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2016

An evaluation framework for scientific programming productivity: position paper.

W. K. Umayanganie Munipala, Shirley V. Moore

Proceedings of the International Workshop on Software Engineering for Science, 2016