George K. Thiruvathukal

198 papers A* 3A 12B 5C 3Misc 5Journal 134Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process. CoRR Nicholas M. Synovic, Karolina Ryzka, Alessandra V. Vellucci Solari, Kenny Lyons, James C. Davis, George K. Thiruvathukal
2026	J	`jnl`	Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization. CoRR Huiyun Peng, Parth V. Patil, Antonio Zhong Qiu, George K. Thiruvathukal, James C. Davis
2026	J	`jnl`	HeyFriend Helper: A Conversational AI Web-App for Resource Access Among Low-Income Chicago Residents. CoRR Maddie Juarez, Abha Rai, Kristen E. Ravi, Margaret C. Delaney, Danny Olweean, Eric Klingensmith, Swarnali Banerjee, Neil Klingensmith, George K. Thiruvathukal
2026	J	`jnl`	Operationalizing Research Software for Supply Chain Security. CoRR Kelechi G. Kalu, Soham Rattan, Taylor R. Schorlemmer, George K. Thiruvathukal, Jeffrey C. Carver, James C. Davis
2025	J	`jnl`	"I see models being a whole other thing": an empirical study of pre-trained model naming conventions and a tool for enhancing naming consistency. Empir. Softw. Eng. Wenxin Jiang, Mingyu Kim, Chingwo Cheung, Heesoo Kim, George K. Thiruvathukal, James C. Davis
2025	J	`jnl`	2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC. CoRR Abani K. Patra, Mary P. Thomas, Elias Bou-Harb, Jeffrey C. Carver, Yuebin Guo, Ratnesh Kumar, Julien Langou, Guoyu Lu, Vivak Patel, Marianna Safronova, Isla Simpson, Dhruva Chakravorty, Jane Combs, Hantao Cui, Sushil K. Prasad, Adnan Rajib, Susan Rathbun, Erik Saule, Alan Sussman, Shaowen Wang, Sarina Zhe Zhang, Ben Brown, Varun Chandola, Daniel Crawford, Ian T. Foster, Dave Hart, Mike Heroux, Mary Ann Leung, Benjamin Lynch, Dan Negrut, D. K. Panda, Manish Parashar, Melissa Kline Struhl, George K. Thiruvathukal
2025	J	`jnl`	Accelerating uncertainty methods for distributed deep learning on novel architectures. J. Supercomput. David Guerrero-Pantoja, Erik Pautsch, Clara J. Almeida, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja
2025	J	`jnl`	AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens. CoRR Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, Yung-Hsiang Lu, James C. Davis
2025	J	`jnl`	AgentHub: A Research Agenda for Agent Sharing Infrastructure. CoRR Erik Pautsch, Tanmay Singla, Wenxin Jiang, Huiyun Peng, Behnaz Hassanshahi, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2025	—	`conf`	An Interactive Agentic HPC Tutor for Lesson Planning, Teaching, and Assessment. SC Workshops Erik Pautsch, Mengjiao Han, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Silvio Rizzi, George K. Thiruvathukal
2025	—	`conf`	Analyzing Adversarial Strategies and Countermeasures for Cyberbullying Detection. SBP-BRiMS Maddie Juarez, Eldor Abdukhamidov, Manuel Sandoval, Mujtaba Nazari, Deborah L. Hall, George K. Thiruvathukal, Tamer AbuHmed, Yasin N. Silva, Mohammed Abuhamad
2025	J	`jnl`	Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis. CoRR Nikita Ravi, Abhinav Goel, James C. Davis, George K. Thiruvathukal
2025	J	`jnl`	Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms. CoRR Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2025	J	`jnl`	LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection. CoRR Benjamin Shiue-Hal Chou, Purvish Jajal, Nick John Eliopoulos, James C. Davis, George K. Thiruvathukal, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025	J	`jnl`	Low Code/No Code Meets the Metaverse. Computer George F. Hurlburt, George K. Thiruvathukal, Nir Kshetri, Norita B. Ahmad
2025	Misc	`conf`	Not-so-Secret Authentication: The SyncBleed Attacks and Defenses for Zero-Involvement Authentication Systems. CSR Isaac Ahlgren, Rushikesh Shirsat, Omar Achkar, George K. Thiruvathukal, Kyuin Lee, Neil Klingensmith
2025	J	`jnl`	Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study. CoRR Samiha Shimmi, Nicholas M. Synovic, Mona Rahimi, George K. Thiruvathukal
2025	J	`jnl`	SysLLMatic: Large Language Models are Software System Optimizers. CoRR Huiyun Peng, Arjun Gupte, Ryan Hasler, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2024	J	`jnl`	A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things. CoRR Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, Neil Klingensmith
2024	B	`conf`	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. ASPDAC Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2024	J	`jnl`	Artificial Intelligence Employment Interviews: Examining Limitations, Biases, and Perceptions. Computer Theresa Fister, George K. Thiruvathukal
2024	J	`jnl`	Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software? CoRR Ryan Hasler, Konstantin Läufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hsiang Lu, James C. Davis
2024	J	`jnl`	Challenges and practices of deep learning model reengineering: A case study on computer vision. Empir. Softw. Eng. Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	Containerization on a self-supervised active foveated approach to computer vision. Rev. Colomb. de Computación Dario Dematties, Silvio Rizzi, George K. Thiruvathukal
2024	J	`jnl`	Crowdsourcing: A Roundtable Discussion. Computer Joanna F. DeFranco, Nir Kshetri, George K. Thiruvathukal, George F. Hurlburt
2024	J	`jnl`	Engaging More Students in Formal Methods Education: A Practical Approach Using Temporal Logic of Actions. Computer Konstantin Läufer, Gunda Mertin, George K. Thiruvathukal
2024	J	`jnl`	From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. CoRR Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer AbuHmed
2024	J	`jnl`	Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer AbuHmed
2024	A	`conf`	Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. CoRR Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2024	—	`conf`	Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. SC Workshops Clara J. Almeida, David Guerrero-Pantoja, Erik Pautsch, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja
2024	A	`conf`	PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. MSR Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. CoRR Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2024	J	`jnl`	SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Trans. Inf. Forensics Secur. Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer AbuHmed
2024	—	`conf`	The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. SVCC Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer AbuHmed
2024	—	`conf`	Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. SVCC Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer AbuHmed
2024	C	`conf`	WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+. FIE Konstantin Läufer, Gunda Mertin, George K. Thiruvathukal
2024	J	`jnl`	WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+. CoRR Konstantin Läufer, Gunda Mertin, George K. Thiruvathukal
2024	A	`conf`	What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. ESEM Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. CoRR Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2023	A*	`conf`	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yung Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2023	J	`jnl`	Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision. CoRR Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
2023	—	`conf`	EduHPC Lightning Talk Summary. SC Workshops Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal
2023	J	`jnl`	Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2023	J	`jnl`	Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs. CoRR Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	Observing Human Mobility Internationally During COVID-19. Computer Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, Xinxin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, Yung-Hsiang Lu
2023	—	`conf`	Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. SC Workshops Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja
2023	A	`conf`	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis
2023	—	`conf`	Peachy Parallel Assignments (EduHPC 2023). SC Workshops H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego García-Álvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde
2023	—	`conf`	Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2023	J	`jnl`	Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer AbuHmed
2023	J	`jnl`	SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA). CoRR Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, Neil Klingensmith
2023	J	`jnl`	Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
2023	Misc	`conf`	Userland Containers for Mobile Systems. HotMobile Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, Neil Klingensmith
2022	Misc	`conf`	A universally composable bit generation scheme for zero involvement authentication. HotMobile Isaac Ahlgren, Jack West, George K. Thiruvathukal, Neil Klingensmith
2022	—	`conf`	An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
2022	J	`jnl`	Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. CoRR Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz
2022	J	`jnl`	Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. Proc. Priv. Enhancing Technol. Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz
2022	J	`jnl`	Automated Discovery of Network Cameras in Heterogeneous Web Pages. ACM Trans. Internet Techn. Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
2022	A	`conf`	Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022	J	`jnl`	Efficient Computer Vision for Embedded Systems. Computer George K. Thiruvathukal, Yung-Hsiang Lu
2022	—	`conf`	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. ASP-DAC Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022	Misc	`conf`	Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. HotMobile Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim
2022	—	`conf`	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022	J	`jnl`	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022	A*	`conf`	Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
2022	J	`jnl`	Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal
2022	J	`jnl`	Towards an Active Foveated Approach to Computer Vision. Computación y Sistemas Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Wainselboim
2022	—	`conf`	UnoAPI: Balancing Performance, Portability, and Productivity (P3) in HPC Education. EduHPC@SC Konstantin Läufer, George K. Thiruvathukal
2022	J	`jnl`	Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2022	J	`jnl`	Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal
2021	J	`jnl`	An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2021	J	`jnl`	Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. CoRR Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
2021	J	`jnl`	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2021	A	`conf`	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021	J	`jnl`	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021	J	`jnl`	Modular Neural Networks for Low-Power Image Classification on Embedded Devices. ACM Trans. Design Autom. Electr. Syst. Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu
2021	—	`conf`	Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. IPSN Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith
2021	J	`jnl`	Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. CoRR Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith
2021	J	`jnl`	Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. Comput. Sci. Eng. Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman, Lorena A. Barba, George K. Thiruvathukal
2021	J	`jnl`	Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology. Frontiers Appl. Math. Stat. Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, Ofer Harel
2021	J	`jnl`	Trustworthy Computational Evidence Through Transparency and Reproducibility. Comput. Sci. Eng. Lorena A. Barba, George K. Thiruvathukal
2020	B	`conf`	A Real-Time Feature Indexing System on Live Video Streams. COMPSAC Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu
2020	—	`conf`	A Survey of Methods for Low-Power Deep Learning and Computer Vision. WF-IoT Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020	J	`jnl`	A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020	—	`conf`	Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. AutomotiveUI (adjunct) Brook W. Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal
2020	J	`jnl`	Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal
2020	B	`conf`	Camera Placement Meeting Restrictions of Computer Vision. ICIP Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal
2020	A*	`conf`	Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
2020	—	`conf`	FLIC: A Distributed Fog Cache for City-Scale Applications. ICFC Jack West, Neil Klingensmith, George K. Thiruvathukal
2020	J	`jnl`	FLIC: A Distributed Fog Cache for City-Scale Applications. CoRR Jack West, Neil Klingensmith, George K. Thiruvathukal
2020	J	`jnl`	Low-Power Object Counting with Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020	A	`conf`	Low-power object counting with hierarchical neural networks. ISLPED Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020	J	`jnl`	Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. CoRR Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sarah Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal
2020	J	`jnl`	Provenance Tracking in the LHCb Software. Comput. Sci. Eng. Ana Trisovic, Chris R. Jones, Ben Couturier, Marco Clemencic, Lorena A. Barba, George K. Thiruvathukal
2020	J	`jnl`	Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. Comput. Sci. Eng. Olivier Mesnard, Lorena A. Barba, George K. Thiruvathukal
2020	J	`jnl`	VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract). CoRR Jack West, Tien VoNguyen, Isaac Ahlgren, Iryna Motyashok, George K. Thiruvathukal, Neil Klingensmith
2019	J	`jnl`	A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. CoRR George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath
2019	J	`jnl`	Cloud Resource Optimization for Processing Multiple Streams of Visual Data. CoRR Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
2019	J	`jnl`	Cloud Resource Optimization for Processing Multiple Streams of Visual Data. IEEE Multim. Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
2019	J	`jnl`	Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal
2019	C	`conf`	Exercises Integrating High School Mathematics with Robot Motion Planning. FIE Ronald I. Greenberg, George K. Thiruvathukal
2019	—	`conf`	Integrating Mathematics and Educational Robotics: Simple Motion Planning. RiE Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
2019	—	`conf`	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. MIPR Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019	J	`jnl`	See the World Through Network Cameras. Computer Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
2019	J	`jnl`	See the World through Network Cameras. CoRR Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
2019	—	`conf`	Tests as maintainable assets via auto-generated spies: a case study involving the scala collections library's iterator trait. SCALA@ECOOP Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
2019	—	`conf`	Towards High-End Scalability on Biologically-Inspired Computational Models. PARCO Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto
2019	A	`conf`	Use of Software Process in Research Software Development: A Survey. EASE Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
2018	J	`jnl`	2018 Low-Power Image Recognition Challenge. CoRR Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018	—	`conf`	A Survey of Software Metric Use in Research Software Development. eScience Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
2018	J	`jnl`	Advancing broadening participation research at RESPECT. ACM SIGCSE Bull. Jamie Payton, George K. Thiruvathukal
2018	J	`jnl`	Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud. CoRR Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
2018	—	`conf`	Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. MIPR Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
2018	J	`jnl`	Auto-generated Spies Increase Test Maintainability. CoRR Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
2018	J	`jnl`	Former CiSE EICs Reflect on the Magazines 20th Anniversary. Comput. Sci. Eng. Francis Sullivan, Norman Chonacky, Isabel Beichl, George K. Thiruvathukal
2018	J	`jnl`	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. CoRR Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
2018	—	`ch.`	Managing Concurrency in Mobile User Interfaces with Examples in Android. Topics in Parallel and Distributed Computing Konstantin Läufer, George K. Thiruvathukal
2018	J	`jnl`	Metrics Dashboard: A Hosted Platform for Software Quality Metrics. CoRR George K. Thiruvathukal, Shilpika, Nicholas J. Hayward, Konstantin Läufer
2017	—	`conf`	A distributed graph approach for pre-processing linked RDF data using supercomputers. SBD@SIGMOD Michael J. Lewis, George K. Thiruvathukal, Venkatram Vishwanath, Michael E. Papka, Andrew E. Johnson
2017	Misc	`conf`	Comparison of Visual Datasets for Machine Learning. IRI Kent Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, Shu-Ching Chen
2017	J	`jnl`	RESPECT '18. ACM SIGCSE Bull. Jamie Payton, Felesia Stukes, George K. Thiruvathukal, Jakita Owensby Thomas
2017	J	`jnl`	Reproducible Research for Computing in Science & Engineering. Comput. Sci. Eng. Lorena A. Barba, George K. Thiruvathukal
2017	J	`jnl`	Teaching Concurrent Software Design: A Case Study Using Android. CoRR Konstantin Läufer, George K. Thiruvathukal
2017	J	`jnl`	The Graph Database: Jack of All Trades or Just Not SQL? IT Prof. George F. Hurlburt, George K. Thiruvathukal, Maria R. Lee
2016	J	`jnl`	Best of RESPECT, Part 2. Comput. Sci. Eng. Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes
2016	J	`jnl`	El Fin. Comput. Sci. Eng. George K. Thiruvathukal
2016	J	`jnl`	Guest Editors' introduction. Comput. Sci. Eng. Tiffany Barnes, Jamie Payton, George K. Thiruvathukal, Kristy Elizabeth Boyer, Jeffrey Forbes
2016	J	`jnl`	The need for research in broadening participation. Commun. ACM Tiffany Barnes, George K. Thiruvathukal
2015	—	`conf`	A framework architecture for student learning in distributed embedded systems. SIES William L. Honig, Konstantin Läufer, George K. Thiruvathukal
2015	J	`jnl`	Broadening participation and RESPECT: join our new professional organization and conference! ACM SIGCSE Bull. Tiffany Barnes, George K. Thiruvathukal
2015	J	`jnl`	Cloudy with a Chance of Sunshine, or the Future of Magazine Publishing. Comput. Sci. Eng. George K. Thiruvathukal
2015	J	`jnl`	Scientific Software Communities. Comput. Sci. Eng. Andy R. Terrel, Michael Tobis, George K. Thiruvathukal
2015	J	`jnl`	The All-Digital Future and Digital CiSE. Comput. Sci. Eng. George K. Thiruvathukal
2015	J	`jnl`	The Next Generation of Computational Science and Engineering. Comput. Sci. Eng. George K. Thiruvathukal
2014	J	`jnl`	Extreme Data. Comput. Sci. Eng. Manish Parashar, George K. Thiruvathukal
2014	A	`conf`	Scala for introductory CS and parallelism(abstract only). SIGCSE Mark C. Lewis, Konstantin Läufer, George K. Thiruvathukal
2014	J	`jnl`	What We Publish in CiSE. Comput. Sci. Eng. George K. Thiruvathukal
2013	J	`jnl`	Cloud Computing. Comput. Sci. Eng. George K. Thiruvathukal, Manish Parashar
2013	J	`jnl`	Computational Science, Demystified ... the Future, Revealed ... and CiSE, 2013. Comput. Sci. Eng. George K. Thiruvathukal
2013	J	`jnl`	Productivity in the Cognitive Overload Era. Comput. Sci. Eng. George K. Thiruvathukal
2013	A	`conf`	Using Scala strategically across the undergraduate curriculum (abstract only). SIGCSE Mark C. Lewis, Konstantin Läufer, George K. Thiruvathukal
2013	J	`jnl`	What's in an Algorithm? Comput. Sci. Eng. George K. Thiruvathukal
2012	J	`jnl`	Digging into Data. Comput. Sci. Eng. George K. Thiruvathukal
2012	J	`jnl`	Innovation Mashups: Academic Rigor Meets Social Networking Buzz. Computer Dejan S. Milojicic, Martin F. Arlitt, Dorée Duncan Seligmann, George K. Thiruvathukal, Christian Timmerer
2012	—	`conf`	Simplifying domain modeling and memory management in user-mode filesystems with the NOFS framework. EIT Joseph P. Kaylor, Konstantin Läufer, George K. Thiruvathukal
2011	J	`jnl`	Beyond CiSE and Back to the Future. Comput. Sci. Eng. George K. Thiruvathukal
2011	J	`jnl`	Books [reviews of "Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and "Introduction to High Performance Computing for Scientists and Engineers"; Hager, G. and Wellein, G.; 2011) [Book review]. Comput. Sci. Eng. George K. Thiruvathukal
2011	—	`conf`	Initial Experience in Moving Key Academic Department Functions to Social Networking Sites. ICSOFT (1) David B. Dennis, Konstantin Läufer, George K. Thiruvathukal
2011	J	`jnl`	Moving Academic Department Functions to Social Networks and Clouds: Initial Experiences. Comput. Sci. Eng. Konstantin Läufer, George K. Thiruvathukal, David B. Dennis
2011	—	`conf`	REST on Routers? - Preliminary Lessons for Language Designers, Framework Architects and App Developers. ICSOFT (1) Joe Kaylor, Konstantin Läufer, George K. Thiruvathukal
2011	—	`conf`	RestFS: resources and services are filesystems, too. WS-REST Joe Kaylor, Konstantin Läufer, George K. Thiruvathukal
2011	—	`conf`	The Object of Platform Studies: Relational Materialities and the Social Platform (the case of the Nintendo Wii). DH Steven E. Jones, George K. Thiruvathukal
2010	—	`conf`	Creative Engagement with Creative Works: a New Paradigm for Collaboration. DH Steven E. Jones, Peter Shillingsburg, George K. Thiruvathukal
2010	J	`jnl`	Virtualization for Computational Scientists. Comput. Sci. Eng. George K. Thiruvathukal, Konrad Hinsen, Konstantin Läufer, Joe Kaylor
2010	J	`jnl`	Your Local Cloud-Enabled Library. Comput. Sci. Eng. George K. Thiruvathukal
2009	J	`jnl`	Computational Thinking … and Doing. Comput. Sci. Eng. George K. Thiruvathukal
2009	J	`jnl`	Essential Tools: Version Control Systems. Comput. Sci. Eng. Konrad Hinsen, Konstantin Läufer, George K. Thiruvathukal
2009	J	`jnl`	Introducing Computing Now. Comput. Sci. Eng. George K. Thiruvathukal
2009	J	`jnl`	Putting a Slug to Work. Comput. Sci. Eng. Konstantin Läufer, George K. Thiruvathukal, Ryohei Nishimura, Carlos Ramirez Martinez-Eiroa
2009	J	`jnl`	The Promises of Typed, Pure, and Lazy Functional Programming: Part II. Comput. Sci. Eng. Konstantin Läufer, George K. Thiruvathukal
2008	J	`jnl`	A Virtual Computing Laboratory. Comput. Sci. Eng. Joe Kaylor, George K. Thiruvathukal
2008	J	`jnl`	At Issue. Comput. Sci. Eng. Bill Feiereisen, George K. Thiruvathukal
2008	C	`conf`	Combining SOA and BPM Technologies for Cross-System Process Automation. SEKE S. Herr, Konstantin Läufer, J. Shafaee, George K. Thiruvathukal, Guido Wirtz
2008	J	`jnl`	High-Performance Computing Applications on Novel Architectures. Comput. Sci. Eng. Volodymyr V. Kindratenko, George K. Thiruvathukal, Steven A. Gottlieb
2008	—	`conf`	Taming XML: Objects first, then markup. EIT Matt Bone, Peter F. Nabicht, Konstantin Läufer, George K. Thiruvathukal
2008	J	`jnl`	What I Did on My Summer Vacation. Comput. Sci. Eng. George K. Thiruvathukal, Konstantin Läufer
2007	J	`jnl`	A Hike through a Post-EJB J2EE Web Application Architecture, Part III. Comput. Sci. Eng. Konstantin Läufer, George K. Thiruvathukal, Benjamin Gonzalez
2007	A	`conf`	A Model-Driven Approach to Job/Task Composition in Cluster Computing. IPDPS Neeraj Mehta, Yogesh Kanitkar, Konstantin Läufer, George K. Thiruvathukal
2007	J	`jnl`	Project Hosting: Expanding the Scientific Programmer's Toolbox. Comput. Sci. Eng. George K. Thiruvathukal
2006	J	`jnl`	Home Networking. Comput. Sci. Eng. George K. Thiruvathukal
2006	B	`conf`	Scalable Approaches for Supporting MPI-IO Atomicity. CCGRID Peter M. Aarestad, Avery Ching, George K. Thiruvathukal, Alok N. Choudhary
2006	J	`jnl`	Unit Testing Considered Useful. Comput. Sci. Eng. George K. Thiruvathukal, Konstantin Läufer, Benjamin Gonzalez
2005	J	`jnl`	Guest Editors' Introduction: Cluster Computing. Comput. Sci. Eng. George K. Thiruvathukal
2004	J	`jnl`	Gentoo Linux: the next generation of Linux. Comput. Sci. Eng. George K. Thiruvathukal
2004	J	`jnl`	Natural XML for data binding, processing, and persistence. Comput. Sci. Eng. George K. Thiruvathukal, Konstantin Läufer
2004	J	`jnl`	Plone and content management. Comput. Sci. Eng. George K. Thiruvathukal, Konstantin Läufer
2004	J	`jnl`	XML and computational science. Comput. Sci. Eng. George K. Thiruvathukal
2003	B	`conf`	Scalable Implementations of MPI Atomicity for Concurrent Overlapping I/O. ICPP Wei-keng Liao, Alok N. Choudhary, Kenin Coloma, George K. Thiruvathukal, Lee Ward, Eric Russell, Neil Pundit
2002	J	`jnl`	Java at middle age: enabling Java for computational science. Comput. Sci. Eng. George K. Thiruvathukal
2000	A	`conf`	A novel application development environment for large-scale scientific computations. ICS Xiaohui Shen, Wei-keng Liao, Alok N. Choudhary, Gokhan Memik, Mahmut T. Kandemir, Sachin More, George K. Thiruvathukal, Arti Singh
2000	J	`jnl`	Java on networks of workstations (JavaNOW): a parallel computing framework inspired by Linda and the Message Passing Interface (MPI). Concurr. Pract. Exp. George K. Thiruvathukal, Phillip M. Dickens, Shahzad Bhatti
1998	J	`jnl`	A computational framework for telemedicine. Future Gener. Comput. Syst. Ian T. Foster, Gregor von Laszewski, George K. Thiruvathukal, Brian R. Toonen
1998	J	`jnl`	Reflective remote method invocation. Concurr. Pract. Exp. George K. Thiruvathukal, L. S. Thomas, A. T. Korczynski
1998	J	`jnl`	Wide-Area Implementation of the Message Passing Interface. Parallel Comput. Ian T. Foster, Jonathan Geisler, William Gropp, Nicholas T. Karonis, Ewing L. Lusk, George K. Thiruvathukal, Steven Tuecke
1997	J	`jnl`	Technologies for ubiquitous supercomputing: a Java interface to the Nexus communication system. Concurr. Pract. Exp. Ian T. Foster, George K. Thiruvathukal, Steven Tuecke
1995	—	`conf`	Scalable Parallel Software Architecture: A Layered Architecture to Compose Scalable Parallel Software. PP George K. Thiruvathukal, William T. O'Connell, Thomas W. Christopher
1994	—	`conf`	Distributed Memo: A Heterogeneously Distributed and Parallel Software Development Environment. ICPP (2) William T. O'Connell, George K. Thiruvathukal, Thomas W. Christopher
1991	—	`conf`	A Simulation of Demand-Driven Dataflow: Translation from Lucid into MDC Language. IPPS George K. Thiruvathukal, Thomas W. Christopher