Shirley V. Moore

30 papers A 1B 1C 1Misc 2Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Design of a Unified Monitoring Tool for Detecting Anomalies in High Performance Computing Systems. CCNC Arin Rahman, Shirley V. Moore, Deepak K. Tosh
2025	J	`jnl`	AI Benchmark Democratization and Carpentry. CoRR 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
2025	Misc	`conf`	Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case. ICNC William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning. IEEE Trans. Inf. Forensics Secur. William Marfo, Pablo Moriano, Deepak K. Tosh, Shirley V. Moore
2025	—	`conf`	Efficient Client Selection in Federated Learning. CCNC William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Efficient Client Selection in Federated Learning. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	Misc	`conf`	Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems. ICNC William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore
2025	—	`conf`	Network Anomaly Detection in Distributed Edge Computing Infrastructure. CCNC William Marfo, Enrique A. Rico, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Network Anomaly Detection in Distributed Edge Computing Infrastructure. CoRR William Marfo, Enrique A. Rico, Deepak K. Tosh, Shirley V. Moore
2025	J	`jnl`	Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore, Joshua Suetterlein, Joseph B. Manzano
2025	—	`conf`	Semi-Automatic Compile-Time Math Intrinsic Optimization Using LLVM. IEEECONF Kristalys Ruiz-Rohena, Christoph Quirin Lauter, Shirley V. Moore
2025	—	`conf`	The Effect of Using Mixed Precision on Performance and Accuracy of GNN Workloads in Scientific ML. IEEECONF Briana Cervantes, Shirley V. Moore
2024	J	`jnl`	Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning. CoRR William Marfo, Pablo Moriano, Deepak K. Tosh, Shirley V. Moore
2024	—	`conf`	Enhancing Network Anomaly Detection Using Graph Neural Networks. MedComNet William Marfo, Deepak K. Tosh, Shirley V. Moore
2023	J	`jnl`	Condition monitoring and anomaly detection in cyber-physical systems. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore
2023	J	`jnl`	Network Anomaly Detection Using Federated Learning. CoRR William Marfo, Deepak K. Tosh, Shirley V. Moore
2022	—	`conf`	Condition monitoring and anomaly detection in cyber-physical systems. SoSE William Marfo, Deepak K. Tosh, Shirley V. Moore
2022	C	`conf`	High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. CLUSTER 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
2022	—	`conf`	Network Anomaly Detection Using Federated Learning. MILCOM William Marfo, Deepak K. Tosh, Shirley V. Moore
2022	J	`jnl`	Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. IEEE Trans. Parallel Distributed Syst. John Gounley, Madhurima Vardhan, Erik W. Draeger, Pedro Valero-Lara, Shirley V. Moore, Amanda Randles
2022	J	`jnl`	The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 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
2020	J	`jnl`	QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. ACM J. Emerg. Technol. Comput. Syst. Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski
2019	J	`jnl`	QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation. CoRR Tiffany M. Mintz, Alexander J. McCaskey, Eugene F. Dumitrescu, Shirley V. Moore, Sarah Powers, Pavel Lougovski
2018	J	`jnl`	Aspen-based performance and energy modeling frameworks. J. Parallel Distributed Comput. Mariam Umar, Shirley V. Moore, Jeremy S. Meredith, Jeffrey S. Vetter, Kirk W. Cameron
2018	B	`conf`	Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen. MASCOTS Mariam Umar, Shirley V. Moore, Jeffrey S. Vetter, Kirk W. Cameron
2018	A	`conf`	Tuyere: enabling scalable memory workloads for system exploration. HPDC Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, Seyong Lee
2016	—	`conf`	An evaluation framework for scientific programming productivity: position paper. SE4Science@ICSE W. K. Umayanganie Munipala, Shirley V. Moore
2016	—	`conf`	Code Complexity versus Performance for GPU-accelerated Scientific Applications. SE-HPCCSE@SC W. K. Umayanganie Munipala, Shirley V. Moore