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2020 – today
- 2025
[j17]Junqi Yin, Jesse Hines, Emily Herron, Tirthankar Ghosal, Hong Liu, Suzanne Prentice, Vanessa Lama, Feiyi Wang:
chatHPC: Empowering HPC users with large language models. J. Supercomput. 81(1): 194 (2025)- 2024
- [j16]Qi Zhang, Zixia Hou, Lyuwen Huang, Feiyi Wang, Hongyan Meng:
Reparation with moving least squares sampling and extraction of body sizes of beef cattle from unilateral point clouds. Comput. Electron. Agric. 224: 109208 (2024) - [j15]Arnab K. Paul
, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt:
Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems. ACM Trans. Storage 20(2): 11:1-11:42 (2024) - [c64]Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang:
Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. ICDCS 2024: 93-104 - [c63]Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar:
Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) 2024: 815-824 - [c62]Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-Scale Geospatial Foundational Models on Frontier. IPDPS (Workshops) 2024: 1036-1046 - [c61]Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang:
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. SC 2024: 23 - [c60]Awais Khan, Christopher Zimmer, Scott Atchley, Ross Miller, Sarp Oral, Feiyi Wang:
Accelerating Application Bulk Synchronous Writes in HPC Environments. SNTA@HPDC 2024: 7-14 - [c59]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. ISC 2024: 1-11 - [c58]Matthias Maiterth, Wes Brewer, Dane De Wet, Scott Greenwood, Vineet Kumar, Jesse Hines, Sedrick Bouknight, Zhe Wang, Tim Dykes, Feiyi Wang:
Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities. IEEE VIS 2024: 21-25 - [i9]Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang:
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads. CoRR abs/2402.00729 (2024) - [i8]Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-scale Geospatial Foundational Models on Frontier. CoRR abs/2404.11706 (2024) - [i7]Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha:
AI-coupled HPC Workflow Applications, Middleware and Performance. CoRR abs/2406.14315 (2024) - [i6]Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang:
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. CoRR abs/2406.17812 (2024) - [i5]Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang:
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. CoRR abs/2408.01552 (2024) - [i4]Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang:
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. CoRR abs/2410.05133 (2024) - [i3]Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu:
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. CoRR abs/2410.23182 (2024) - 2023
- [j14]Tianyu Zhu, Xiaodan Ma, Haiou Guan, Xia Wu, Feiyi Wang, Chen Yang, Qiu Jiang:
A calculation method of phenotypic traits based on three-dimensional reconstruction of tomato canopy. Comput. Electron. Agric. 204: 107515 (2023) - [j13]Tianyu Zhu, Xiaodan Ma, Haiou Guan, Xia Wu, Feiyi Wang, Chen Yang, Qiu Jiang:
A method for detecting tomato canopies' phenotypic traits based on improved skeleton extraction algorithm. Comput. Electron. Agric. 214: 108285 (2023) - [j12]Bingxue Wei, Xiaodan Ma, Haiou Guan, Miao Yu, Chen Yang, Haotian He, Feiyi Wang, Panpan Shen:
Dynamic simulation of leaf area index for the soybean canopy based on 3D reconstruction. Ecol. Informatics 75: 102070 (2023) - [j11]Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser:
TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. 37(6): 666-682 (2023) - [j10]Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, Georgia D. Tourassi:
Evaluation of pre-training large language models on leadership-class supercomputers. J. Supercomput. 79(18): 20747-20768 (2023) - [c57]Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan:
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys 2023: 780-787 - [c56]Junqi Yin, Feiyi Wang, Mallikarjun Arjun Shankar:
DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys. IPDPS 2023: 333-343 - [c55]Sajal Dash, Mohammad Alaul Haque Monil, Junqi Yin, Ramu Anandakrishnan, Feiyi Wang:
Distributing Simplex-Shaped Nested for-Loops to Identify Carcinogenic Gene Combinations. IPDPS 2023: 974-984 - [c54]Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang:
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS 2023: 1-4 - [c53]Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi:
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC 2023: 2:1-2:11 - [c52]Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok:
Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI 2023: 9:1-9:11 - [c51]Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar:
FORGE: Pre-Training Open Foundation Models for Science. SC 2023: 81:1-81:13 - [i2]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i1]Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. CoRR abs/2312.12705 (2023) - 2022
- [j9]Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser:
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36(5-6): 587-602 (2022) - [j8]Ahmad Maroof Karimi, Arnab K. Paul, Feiyi Wang:
I/O performance analysis of machine learning workloads on leadership scale supercomputer. Perform. Evaluation 157-158: 102318 (2022) - [c50]Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang:
Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications. CLUSTER 2022: 324-335 - [c49]Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley:
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. HPDC 2022: 43-55 - [c48]Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang:
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. HPDC 2022: 199-212 - [c47]Junqi Yin, Feiyi Wang, Mallikarjun Shankar:
Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications. IPDPS Workshops 2022: 1-10 - [c46]Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Folami T. Alamudun, Hong-Jun Yoon, Feiyi Wang:
A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. IPDPS Workshops 2022: 1266-1274 - [c45]Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang:
Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. SC 2022: 78:1-78:15 - [c44]Junqi Yin, Guannan Zhang, Huibo Cao, Sajal Dash, Bryan C. Chakoumakos, Feiyi Wang:
Toward an Autonomous Workflow for Single Crystal Neutron Diffraction. SMC 2022: 244-256 - [c43]Jeyan Thiyagalingam, Gregor von Laszewski, Junqi Yin, Murali Emani, Juri Papay, Gregg Barrett, Piotr Luszczek, Aristeidis Tsaris, Christine R. Kirkpatrick, Feiyi Wang, Tom Gibbs, Venkatram Vishwanath, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey:
AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops 2022: 47-64 - 2021
- [c42]Chengcheng Li, Ahmad Maroof Karimi, Woong Shin, Hairong Qi, Feiyi Wang:
The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption. CLUSTER 2021: 632-636 - [c41]Feiyi Wang, Ada Aka, Sudeep Bhatia:
Dynamics of Counterfactual Retrieval. CogSci 2021 - [c40]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. IPDPS 2021: 557-566 - [c39]Arnab Kumar Paul, Ahmad Maroof Karimi, Feiyi Wang:
Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems. MASCOTS 2021: 1-8 - [c38]Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng:
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC 2021: 11-18 - [c37]Woong Shin, Vladyslav Oles, Ahmad Maroof Karimi, J. Austin Ellis, Feiyi Wang:
Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. SC 2021: 12 - [c36]Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin, Nageswara S. V. Rao, Christopher Brumgard, Feiyi Wang, Olga A. Kuchar, Arjun Shankar, Ben Mintz, Elke Arenholz, J. Robert Michael, Sarp Oral:
Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery. SMC 2021: 58-75 - [c35]Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa:
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382
2010 – 2019
- 2019
- [c34]Matthew Bachstein, Feiyi Wang, Sarp Oral:
LCIO: Large Scale Filesystem Aging. Bench 2019: 251-261 - [c33]Feiyi Wang, Sarp Oral, Satyabrata Sen, Neena Imam:
Learning from Five-year Resource-Utilization Data of Titan System. CLUSTER 2019: 1-6 - [c32]Bharti Wadhwa, Arnab Kumar Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali Raza Butt, Jon Bernard, Kirk W. Cameron:
iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems. IPDPS 2019: 610-620 - [c31]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. PDSW@SC 2019: 30-39 - [c30]Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang, Christopher Zimmer, Christopher Brumgard, Jesse Hanley, George Markomanolis, Ross G. Miller, Dustin Leverman, Scott Atchley, Verónica G. Vergara Larrea:
End-to-end I/O portfolio for the summit supercomputing ecosystem. SC 2019: 63:1-63:14 - 2018
- [j7]Youngjae Kim, Sungyong Park, Feiyi Wang, Guangyu Sun, Shangguang Wang:
HPC Software and Programming Environments for Big Data Applications. Sci. Program. 2018: 6015685:1-6015685:2 (2018) - [c29]Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt:
Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS 2018: 1163-1172 - [c28]Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin:
The design, deployment, and evaluation of the CORAL pre-exascale systems. SC 2018: 52:1-52:12 - 2017
- [j6]Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral:
Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems. J. Parallel Distributed Comput. 100: 16-29 (2017) - [c27]Arnab Kumar Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali Raza Butt, Michael J. Brim, Sangeetha B. Srinivasa:
I/O load balancing for big data HPC applications. IEEE BigData 2017: 233-242 - [c26]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS 2017: 1-9 - [c25]Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky:
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS 2017: 1022-1031 - [c24]Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ulrich Brüning:
Automatic and Transparent Resource Contention Mitigation for Improving Large-Scale Parallel File System Performance. ICPADS 2017: 604-613 - [c23]Feiyi Wang, Hyogi Sim, Cameron Harr, Sarp Oral:
Diving into petascale production file systems through large scale profiling and analysis. PDSW-DISCS@SC 2017: 37-42 - [c22]Sudharshan S. Vazhkudai, Ross G. Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert:
GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. SC 2017: 45 - 2016
- [c21]Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brüning:
Using Balanced Data Placement to Address I/O Contention in Production Environments. SBAC-PAD 2016: 9-17 - [c20]Sisi Xiong, Feiyi Wang, Qing Cao:
A Bloom Filter Based Scalable Data Integrity Check Tool for Large-Scale Dataset. PDSW-DISCS@SC 2016: 55-60 - 2015
- [c19]Raghul Gunasekaran, Sarp Oral, Jason Hill, Ross Miller, Feiyi Wang, Dustin Leverman:
Comparative I/O workload characterization of two leadership class storage clusters. PDSW@SC 2015: 31-36 - [c18]Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao:
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. SC 2015: 75:1-75:12 - 2014
- [j5]Luca Cinquini, Daniel J. Crichton, Chris Mattmann, John Harney, Galen M. Shipman, Feiyi Wang, Rachana Ananthakrishnan, Neill Miller, Sebastian Denvil, Mark Morgan, Zed Pobre, Gavin M. Bell, Charles M. Doutriaux, Robert S. Drach, Dean N. Williams, Philip Kershaw, Stephen Pascoe, Estanislao Gonzalez, Sandro Fiore, Roland Schweitzer:
The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data. Future Gener. Comput. Syst. 36: 400-417 (2014) - [j4]Youngjae Kim, Junghee Lee, Sarp Oral, David Dillow, Feiyi Wang, Galen M. Shipman:
Coordinating Garbage Collectionfor Arrays of Solid-State Drives. IEEE Trans. Computers 63(4): 888-901 (2014) - [c17]Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai:
Improving large-scale storage system performance via topology-aware and balanced data placement. ICPADS 2014: 656-663 - [c16]Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley W. Settlemyer:
SSD-optimized workload placement with adaptive learning and classification in HPC environments. MSST 2014: 1-6 - [c15]Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matthew A. Ezell, Ross G. Miller, Douglas Fuller, Raghul Gunasekaran, Youngjae Kim, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland:
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. SC 2014: 217-228 - 2013
- [c14]Michael J. Brim, David A. Dillow, Sarp Oral, Bradley W. Settlemyer, Feiyi Wang:
Asynchronous object storage with QoS for scientific and commercial big data. PDSW@SC 2013: 7-13 - [c13]Feiyi Wang, Mark Nelson, Sarp Oral, Scott Atchley, Sage A. Weil, Bradley W. Settlemyer, Blake Caldwell, Jason Hill:
Performance and scalability evaluation of the Ceph parallel file system. PDSW@SC 2013: 14-19 - 2012
- [c12]Luca Cinquini, Daniel J. Crichton, Chris Mattmann, John Harney, Galen M. Shipman, Feiyi Wang, Rachana Ananthakrishnan, Neill Miller, Sebastien Denvil, Mark Morgan, Zed Pobre, Gavin M. Bell, Bob Drach, Dean N. Williams, Philip Kershaw, Stephen Pascoe, Estanislao Gonzalez, Sandro Fiore, Roland Schweitzer:
The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data. eScience 2012: 1-10 - 2011
- [c11]Junghee Lee, Youngjae Kim, Galen M. Shipman, Sarp Oral, Feiyi Wang, Jongman Kim:
A semi-preemptive garbage collector for solid state drives. ISPASS 2011: 12-21 - [c10]Youngjae Kim, Sarp Oral, Galen M. Shipman, Junghee Lee, David Dillow, Feiyi Wang:
Harmonia: A globally coordinated garbage collector for arrays of Solid-State Drives. MSST 2011: 1-12 - 2010
- [c9]Sarp Oral, Feiyi Wang, David Dillow, Galen M. Shipman, Ross G. Miller, Oleg Drokin:
Efficient Object Storage Journaling in a Distributed Parallel File System. FAST 2010: 143-154
2000 – 2009
- 2005
- [c8]Lidan Miao, Hairong Qi, Feiyi Wang:
Biologically-inspired self-deployable heterogeneous mobile sensor networks. IROS 2005: 2363-2368 - 2004
- [j3]Stephanie Bryant, Feiyi Wang:
Stephanie Bryant and Feiyi Wang, Aspects of adaptive reconfiguration in a scalable intrusion tolerant system, Complexity (2004) 9(2)74-83. Complex. 9(4): 46 (2004) - 2003
- [j2]Stephanie Bryant, Feiyi Wang:
Aspects of adaptive reconfiguration in a scalable intrusion tolerant system. Complex. 9(2): 74-83 (2003) - [j1]Rong Wang, Feiyi Wang, Gregory T. Byrd:
Design and implementation of Acceptance Monitor for building intrusion tolerant systems. Softw. Pract. Exp. 33(14): 1399-1417 (2003) - [c7]Feiyi Wang, Raghu Upppalli:
SITAR: A Scalable Intrusion-Tolerant Architecture for Distributed Services-A Technology Summary. DISCEX (2) 2003: 153- - 2001
- [c6]Rong Wang, Feiyi Wang, Gregory T. Byrd:
Design and implementation of acceptance monitor for building scalable intrusion tolerant system. ICCCN 2001: 200-205 - 2000
- [c5]Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu:
A property oriented fault detection approach for link state routing protocol. ICCCN 2000: 114-119
1990 – 1999
- 1999
- [c4]Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu, Ravindar Narayan:
Intrusion detection for link state routing protocol through integrated network management. ICCCN 1999: 634-639 - 1998
- [c3]Feiyi Wang, Shyhtsun Felix Wu:
On the Vulnerabilities and Protection of OSPF Routing Protocol. ICCCN 1998: 148-152 - [c2]Diheng Qu, Brian Vetter, Feiyi Wang, Ravindar Narayan, Shyhtsun Felix Wu, Y. Frank Jou, Fengmin Gong, Chandramouli Sargor:
Statistical Anomaly Detection for Link-State Routing Protocols. ICNP 1998: 62-70 - 1997
- [c1]Brian Vetter, Feiyi Wang, Shyhtsun Felix Wu:
An experimental study of insider attacks for OSPF routing protocol. ICNP 1997: 293-300
Coauthor Index
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