[This project has ended. All goals and objectives were met. These pages are kept for archival purposes. All publications are available through copyright holders (e.g., IEEE, ACM, etc.).]
Paul, Arnab K. and Chard, Ryan and Chard, Kyle and Tuecke, Steven and Butt, Ali R. and Foster, Ian “FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems” IEEE International Conference on Cluster Computing (CLUSTER) , 2019
Paul, Arnab K and Wang, Brian and Rutman, Nathan and Spitz, Cory and Butt, Ali R. “Efficient Metadata Indexing for HPC Storage Systems.”2020 IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid) , 2020
Raghunath, C. and Chang, T.H. and Watson, L.T. and Jrad, M. and Kapania, R.K. and and Kolonay, R.M. “Global deterministic and stochastic optimization in a service oriented architecture” Proceedings of the 25th High Performance Computing Symposium , 2017
Salman Ahmed, Ya Xiao “Methodologies for Quantifying (Re-)randomization Security and Timing under JIT-ROP” 2020 ACM SIGSAC Conference on Computer and Communications Security (CCS’20) , 2020
Sim, Hyogi and Khan, Awais and Vazhkudai, Sudharshan S. and Lim, Seung-Hwan and Butt, Ali R. and Kim, Youngjae “An Integrated Indexing and Search Service for Distributed File Systems” IEEE Transactions on Parallel and Distributed Systems , v.31 , 2020
Sudalagunta, Praneeth Reddy and Sultan, Cornel and Kapania, Rakesh K. and Watson, Layne T. and Raj, Pradeep “Aeroelastic Control-Oriented Modeling of an Airbreathing Hypersonic Vehicle” Journal of Guidance, Control, and Dynamics , v.41 , 2018
Thomas C.H. Lux, Layne T. “An Algorithm for Constructing Monotone Quintic Interpolating Splines” Spring Simulation Multiconference, High Performance Computing Symposium , 2020
Tyler H. Chang, Jeffrey Larson “Managing Computationally Expensive Blackbox Multiobjective Optimization Problems with Libensemble” 2020 Spring Simulation Conference (SpringSim ’20) , 2020 https://doi.org/10.22360/SpringSim.2020.HPC.001
Tyler H. Chang, Jeffrey Larson “Multiobjective optimization of the variability of the high-performance LINPACK solver.” WSC ’20: Proceedings of the Winter Simulation Conference , 2020 https://doi.org/10.5555/3466184.3466538
Wadhwa, Bharti and Paul, Arnab K. and Neuwirth, Sarah and Wang, Feiyi and Oral, Sarp and Butt, Ali R. and Bernard, Jon and Cameron, Kirk”iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems” Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS) , 2019
Wang, Yueyao and Furman, Samuel and Hardy, Nicolas and Ellis, Margaret and Back, Godmar and Hong, Yili and Cameron, Kirk. “A Detailed Historical and Statistical Analysis of the Influence of Hardware Artifacts on SPEC Integer Benchmark Performance” IEEE transactions on computers , 2024
Wang, Yueyao and Xu, Li and Hong, Yili and Pan, Rong and Chang, Tyler and Lux, Thomas and Bernard, Jon and Watson, Layne and Cameron, Kirk “Design strategies and approximation methods for high-performance computing variability management” Journal of Quality Technology , 2022 https://doi.org/10.1080/00224065.2022.2035285
Watson, Layne T. “Personal reflections on 50 years of scientific computing: 19672017” International Journal of Parallel, Emergent and Distributed Systems , v.35 , 2020 https://doi.org/10.1080/17445760.2020.1723094
Xie, Yimeng and Xu, Li and Li, Jie and Deng, Xinwei and Hong, Yili and Kolivras, Korine and Gaines, David N. “Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence” Journal of the American Statistical Association , 2019
Xu, Li and Hong, Yili and Morris, Max_D and Cameron, Kirk_W “Prediction for distributional outcomes in high-performance computing input/output variability” Journal of the Royal Statistical Society Series C: Applied Statistics , v.73 , 2024 https://doi.org/10.1093/jrsssc/qlae001
Almohri, Hussain M. and Watson, Layne T. and Evans, David “Misery Digraphs: Delaying Intrusion Attacks in Obscure Clouds” IEEE Transactions on Information Forensics and Security , v.13 , 2018 10.1109/TIFS.2017.2779436
Almohri, Hussain M. and Watson, Layne T. and Evans, David “An Attack-Resilient Architecture for the Internet of Things” IEEE Transactions on Information Forensics and Security , v.15 , 2020 https://doi.org/10.1109/TIFS.2020.2994777
Almohri, Hussain M. and Watson, Layne T. and Alemzadeh, Homa and Almutawa, Mohammad “On Parallel Real-Time Security Improvement Using Mixed-Integer Programming” IEEE Access , v.9 , 2021 https://doi.org/10.1109/ACCESS.2021.3073089
Albahar, Hadeel and Dongare, Shruti and Du, Yanlin and Zhao, Nannan and Paul, Arnab K. and Butt, Ali R. “SCHEDTUNE: A Heterogeneity-Aware GPU Scheduler for Deep Learning” The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid) , 2022
Abraham, Subil and Paul, Arnab K. and Khan, Redwan Ibne and Butt, Ali R. “On the Use of Containers in High Performance Computing Environments” IEEE 13th International Conference on Cloud Computing (CLOUD) , 2020 https://doi.org/10.1109/CLOUD49709.2020.00048
Biswas, Debasmita and Neuwirth, Sarah and Paul, Arnab K. and Butt, Ali R. “Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications” 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS) , 2021
Amos, Brandon D. and Easterling, David R. and Watson, Layne T. and Thacker, William I. and Castle, Brent S. and Trosset, Michael W.”Algorithm 1007: QNSTOPQuasi-Newton Algorithm for Stochastic Optimization” ACM Transactions on Mathematical Software , v.46 , 2020
Lu, L and Lee, I and Hong, Y “Bayesian Sequential Design Based on Dual Objectives for Accelerated Life Tests” Statistical Quality Technologies , 2019 10.1007/978-3-030-20709-0_11
Lux, T.C.H. and Chang, T.H. and Watson, L.T. and Bernard, J. and Li, B. and Xu, L. and Back, G. and Butt, A.R. and Cameron, K.Wl and and Hong, Y. “Predictive Modeling of I/O Characteristics in High Performance Computing Systems” Proc. 2018 Spring Simulation Multiconference, 26th High Performance Computing Symp. , 2018
Lux, Thomas C. and Cameron, Kirk W. and Yao, Danfeng and Hong, Yili and Watson, Layne T. and Chang, Tyler H. and Bernard, Jon and Li, Bo and Yu, Xiaodong and Xu, Li and Back, Godmar and Butt, Ali R. “Novel meshes for multivariate interpolation and approximation” Proceedings ACM Southeast 2018 Conference , 2018
Lux, Thomas C. and Watson, Layne T. and Chang, Tyler H. and Bernard, Jon and Li, Bo and Yu, Xiaodong and Xu, Li and Back, Godmar and Butt, Ali R. and Cameron, Kirk W. and Hong, Yili and Yao, Danfeng “Nonparametric Distribution Models for Predicting and Managing Computational Performance Variability” Proceedings of IEEE Southeastcon 2018 , 2018
Mehmood, A. and Hajj, M. R. and Akhtar, I. and Ghommem, M. and Watson, L. T. and Lux, T. C. “Optimized drag reduction and wake dynamics associated with rotational oscillations of a circular cylinder” Contemporary Engineering Sciences , v.11 , 2018 10.12988/ces.2018.89519
O’Neil, Gina L. and Goodall, Jonathan L. and Watson, Layne T. “Evaluating the potential for site-specific modification of LiDAR DEM derivatives to improve environmental planning-scale wetland identification using Random Forest classification” Journal of Hydrology , v.559 , 2018
Zhao, Nannan and Anwar, Ali and Tarasov, Vasily and Rupprecht, Lukas and Skourtis, Dimitrios and Warke, Amit S and Mohamed, Mohamed and Butt, Ali R. “Slimmer: Weight Loss Secrets for Docker Registries” Work-in-Progress report in the IEEE International Conference on Cloud Computing (CLOUD) , 2019
Littley, Michael and Anwar, Ali and Fayyaz, Hannan and Fayyaz, Zeshan and Tarasov, Vasily and Rupprecht, Lukas and Skourtis, Dimitrios and Mohamed, Mohamed and Ludwig, Heiko and Cheng, Yue and Butt, Ali R. “Bolt: Towards a Scalable Docker Registry” Proceedings of the IEEE International Conference on Cloud Computing(CLOUD) , 2019
Xu, Li and Lux, Thomas and Chang, Tyler and Li, Bo and Hong, Yili and Watson, Layne and Butt, Ali and Yao, Danfeng and Cameron, Kirk”Prediction of high-performance computing input/output variability and its application to optimization for system configurations” Quality Engineering , v.33 , 2021 https://doi.org/10.1080/08982112.2020.1866203
Xu, Li and Wang, Yueyao and Lux, Thomas and Chang, Tyler and Bernard, Jon and Li, Bo and Hong, Yili and Cameron, Kirk and Watson, Layne”Modeling I/O performance variability in high-performance computing systems using mixture distributions” Journal of Parallel and Distributed Computing , v.139 , 2020
Xu, Li B. and Gotwalt, Chris Q. and Hong, Yili and King, Caleb and Meeker, William “Applications of the Fractional-Random-Weight Bootstrap”The American Statistician , 2020
YU, Xiaodong “Algorithms and Frameworks for Accelerating Security Applications on HPC Platforms” Virginia Tech Theses , 2019
Yu, Xiaodong and Wei, Fengguo and Ou, Xinming and Becchi, Michela and Bicer, Tekin and Yao, Danfeng Daphne “GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting” 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS) , v.1 , 2020
Yu, Xiaodong and Xiao, Ya and Cameron, Kirk W. and Yao, Danfeng (Daphne) “Comparative Measurement of Cache Configurations? Impacts on Cache Timing Side-Channel Attacks” USENIX Security Workshop on Cyber Security Experimentation and Test (CSET) , 2019
Zhang, Man and Hong, Yili and Balakrishnan, Narayanaswamy “The generalized Poisson-binomial distribution and the computation of its distribution function” Journal of Statistical Computation and Simulation , v.88 , 2018 10.1080/00949655.2018.1440294
Zhang, Qiong and Chien, Peter and Liu, Qing and Xu, Li and Hong, Yili “Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels” Journal of Quality Technology , 2020 10.1080/00224065.2020.1778431
Zhang, Yonggang and Arango, Gustavo and Li, Fang and Xiao, Xiao and Putatunda, Raj and Yu, Jun and Yang, Xiao-Feng and Wang, Hong and Watson, Layne T. and Zhang, Liqing and Hu, Wenhui “Comprehensive off-target analysis of dCas9-SAM-mediated HIV reactivation via long noncoding RNA and mRNA profiling” BMC Medical Genomics , v.11 , 2018 10.1186/s12920-018-0394-2
Zhao, Nannan and Tarasov, Vasily and Albahar, Hadeel and Anwar, Ali and Rupprecht, Lukas and Skourtis, Dimitrios and Warke, Amit S. and Mohamed, Mohamed and Butt, Ali R. “Large-Scale Analysis of the Docker Hub Dataset” IEEE International Conference on Cluster Computing (CLUSTER) , 2019 10.1109/CLUSTER.2019.8891000
Cameron, Kirk W. and Anwar, Ali and Cheng, Yue and Xu, Li and Li, Bo and Ananth, Uday and Bernard, Jon and Jearls, Chandler and Lux, Thomas and Hong, Yili and Watson, Layne T. and Butt, Ali R. “MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design” IEEE Transactions on Parallel and Distributed Systems , 2019 10.1109/TPDS.2019.2892129
Chang, T.H. and Watson, L.T. and Lux, T.C.H. and Bernard, J. and Li, B. and Xu, L. and Back, G. and Butt, A.R. and Cameron, K.W. and and Hong, Y. “Predicting System Performance by Interpolation Using a High-Dimensional Delaunay Triangulation” Proc. 2018 Spring Simulation Multiconference, 26th High Performance Computing Symp. , 2018 10.22360/SpringSim.2018.HPC.003
Chang, Tyler H. and Watson, Layne T. and Lux, Thomas C. and Butt, Ali R. and Cameron, Kirk W. and Hong, Yili “Algorithm 1012: DELAUNAYSPARSE: Interpolation via a Sparse Subset of the Delaunay Triangulation in Medium to High Dimensions” ACM Transactions on Mathematical Software , v.46 , 2020 https://doi.org/10.1145/3422818
Chang, Tyler H. and Watson, Layne T. and Lux, Thomas C. and Li, Bo and Xu, Li and Butt, Ali R. and Cameron, Kirk W. and Hong, Yili “A polynomial time algorithm for multivariate interpolation in arbitrary dimension via the Delaunay triangulation” Proceedings ACM Southeast 2018 Conf. , 2018 10.1145/3190645.3190680
Chang, Tyler H. and Watson, Layne T. and Lux, Thomas C. and Raghvendra, Sharath and Li, Bo and Xu, Li and Butt, Ali R. and Cameron, Kirk W. and Hong, Yili “Computing the Umbrella Neighbourhood of a Vertex in the Delaunay Triangulation and a Single Voronoi Cell in Arbitrary Dimension” Proc. IEEE Southeastcon 2018 , 2018 10.1109/SECON.2018.8479003
Chen, M. and Ahmadian, M. and Watson, L. T. and Cao, Y. “Finding acceptable parameter regions of stochastic Hill functions for multisite phosphorylation mechanism” The Journal of Chemical Physics , v.152 , 2020 https://doi.org/10.1063/1.5143004
Chen, Minghan and Amos, Brandon D. and Watson, Layne T. and Tyson, John J. and Cao, Young and Shaffer, Clifford A. and Trosset, Michael W. and Oguz, Cihan and Kakoti, Gisella “Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle” IEEE/ACM Transactions on Computational Biology and Bioinformatics , v.16 , 2019 10.1109/TCBB.2017.2773083
Dichev, Kiril and Cameron, Kirk and Nikolopoulos, Dimitrios S. “Energy-efficient localised rollback via data flow analysis and frequency scaling”EuroMPI’18: Proceedings of the 25th European MPI Users’ Group Meeting , v.25 , 2018
Ding, Yu and Yang, Qingyu and King, Caleb B. and Hong, Yili “A General Accelerated Destructive Degradation Testing Model for Reliability Analysis” IEEE Transactions on Reliability , 2019
Fang, Guanqi and Pan, Rong and Hong, Yili “Copula-based reliability analysis of degrading systems with dependent failures” Reliability Engineering & System Safety , v.193 , 2020
Forouzesh, Negin and Mukhopadhyay, Abhishek and Watson, Layne T. and Onufriev, Alexey V. “Multidimensional Global Optimization and Robustness Analysis in the Context of ProteinLigand Binding” Journal of Chemical Theory and Computation , v.16 , 2020
Han, Jingoo and Khan, Ahmad Faraz and Zawad, Syed and Anwar, Ali and Angel, Nathalie Baracaldo and Zhou, Yi and Yan and Feng and Butt, Ali R. “Tokenized Incentive for Federated Learning.” International Workshop on Trustable, Verifiable and Auditable Federated Learning (FL-AAAI-22) in Conjunction with AAAI 2022 , 2022
Han, Jingoo and Khan, Ahmad Faraz and Zawad, Syed and Anwar, Ali and Angel, Nathalie Baracaldo and Zhou, Yi and Yan, Feng and Butt, Ali R.”TIFF: Tokenized Incentive for Federated Learning.” Proceedings of the IEEE International Conference on Cloud Computing (CLOUD) , 2022
Han, Jingoo and Rafique, Mustafa M and Xu, Luna and Butt, Ali R. and Lim, Seung-Hwan and Vazhkudai, Sudharshan S. “MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems” 2020 IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid) , 2020
Han, Jingoo and Xu, Luna and Rafique, M. Mustafa and Butt, Ali R. and Lim, Seung-Hwan “A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers” IEEE International Conference on Cluster Computing (CLUSTER) , 2019 10.1109/CLUSTER.2019.8890993
Jones, Thomas C and Hoops, Stefan and Watson, Layne T and Palmisano, Alida and Tyson, John J and Shaffer, Clifford A “JigCell Model Connector: building large molecular network models from components” SIMULATION , v.94 , 2018 10.1177/0037549717754121
Khan, A and Yazdani, A and Fu, Y and Paul, AK and Ji, B and Jian, X and Cheng, Y and Butt, AR “SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training” 21st USENIX Conference on File and Storage Technologies (FAST 23) , 2023
Khan, Awais and Sim, Hyogi and Vazhkudai, Sudharshan S. and Butt, Ali R. and Kim, Youngjae “An Analysis of System Balance and Architectural Trends Based on Top500 Supercomputers” HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021 https://doi.org/10.1145/3432261.3432263
Lee, I-Chen and Hong, Yili and Tseng, Sheng-Tsaing and Dasgupta, Tirthankar “Sequential Bayesian Design for Accelerated Life Tests”Technometrics , v.60 , 2018 10.1080/00401706.2018.1437475