Feiyi Wang - RankMe

134 papers A* 3A 26B 16C 6Misc 3Journal 47Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization. CoRR Muhammad J. Alahmadi, Peng Gao, Feiyi Wang, Dongkuan Xu
2026	J	`jnl`	FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving. CoRR Shouwei Gao, Junqi Yin, Feiyi Wang, Wenqian Dong
2026	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. J. Supercomput. Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2026	J	`jnl`	Tula: Optimizing Time, Cost, and Generalization in Distributed Large-Batch Training. CoRR Sahil Tyagi, Feiyi Wang
2025	—	`conf`	AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. SC Workshops Daniel Rosendo, Stephen Dewitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall T. McDonnell, Ross Miller, Tyler J. Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva
2025	J	`jnl`	Analyzing 16,193 LLM Papers for Fun and Profits. CoRR Zhiqiu Xia, Lang Zhu, Bingzhe Li, Feng Chen, Qiannan Li, Chunhua Liao, Feiyi Wang, Hang Liu
2025	—	`conf`	Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. SC Workshops Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jordà Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer
2025	—	`conf`	Data Readiness for Scientific AI at Scale. ICPP Workshops Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral
2025	J	`jnl`	Data Readiness for Scientific AI at Scale. CoRR Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral
2025	J	`jnl`	Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection. CoRR Weizhi Gao, Xiaorui Liu, Feiyi Wang, Dan Lu, Junqi Yin
2025	A	`conf`	Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. SC Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang
2025	J	`jnl`	EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics. CoRR Ahmad Maroof Karimi, Woong Shin, Jesse Hines, Tirthankar Ghosal, Naw Safrin Sattar, Feiyi Wang
2025	—	`conf`	HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. SC Workshops Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Rashadul Kabir, Kevin Menear, Dmitry Duplyakin, Tapasya Patki, Terry R. Jones, Feiyi Wang
2025	J	`jnl`	HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. CoRR Matthias Maiterth, Wesley Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Kevin Menear, Dmitry Duplyakin, Rashadul Kabir, Tapasya Patki, Terry R. Jones, Feiyi Wang
2025	A	`conf`	Insights from Optimizing HPL Performance on Exascale Systems: A Comparative Analysis of Panel Factorization. SC Hao Lu, Michael A. Matheson, Noel Chalmers, Aditya Kashi, Nicholas Malaya, Feiyi Wang
2025	—	`conf`	Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. SC Workshops Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. CoRR Wesley Brewer, Muralikrishnan Gopalakrishnan Meena, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen M. de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Mobile Acoustic Net: A novel early detection model for wood-boring pests. Comput. Electron. Agric. Wenchong Min, Mengqun Zhai, Shujun Chen, Lyuwen Huang, Feiyi Wang, Tianyu Zhu
2025	A*	`conf`	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. ICML Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
2025	J	`jnl`	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. CoRR Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
2025	—	`conf`	OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. SC Workshops Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang
2025	J	`jnl`	OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. CoRR Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang
2025	J	`jnl`	Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit. CoRR Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
2025	A*	`conf`	REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. EMNLP Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu
2025	J	`jnl`	REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. CoRR Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu
2025	A	`conf`	RingX: Scalable Parallel Attention for Long-Context Learning on HPC. SC Junqi Yin, Mijanur Palash, Mallikarjun Shankar, Feiyi Wang
2025	J	`jnl`	Scaling Up Data Parallelism in Decentralized Deep Learning. CoRR Bing Xie, Junqi Yin, Zhenyu Zhou, Sarp Oral, Feiyi Wang
2025	A	`conf`	Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. SC Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. CoRR Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2025	J	`jnl`	SciTrust 2.0: A Comprehensive Framework for Evaluating Trustworthiness of Large Language Models in Scientific Applications. CoRR Emily Herron, Junqi Yin, Feiyi Wang
2025	—	`conf`	The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science. SC Workshops Woong Shin, Renan Souza, Daniel Rosendo, Frédéric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva
2025	J	`jnl`	The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science. CoRR Woong Shin, Renan Souza, Daniel Rosendo, Frédéric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva
2025	Misc	`conf`	User-based I/O Profiling for Leadership Scale HPC Workloads. ICDCN Ahmad Hossein Yazdani, Arnab K. Paul, Ahmad Maroof Karimi, Feiyi Wang, Ali Raza Butt
2025	A	`conf`	X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms. SC Yueming Yuan, Ahan Gupta, Jianping Li, Sajal Dash, Feiyi Wang, Minjia Zhang
2025	J	`jnl`	X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms. CoRR Yueming Yuan, Ahan Gupta, Jianping Li, Sajal Dash, Feiyi Wang, Minjia Zhang
2025	J	`jnl`	chatHPC: Empowering HPC users with large language models. J. Supercomput. Junqi Yin, Jesse Hines, Emily Herron, Tirthankar Ghosal, Hong Liu, Suzanne Prentice, Vanessa Lama, Feiyi Wang
2024	A	`conf`	A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. SC Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang
2024	J	`jnl`	A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. CoRR Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang
2024	J	`jnl`	AI-coupled HPC Workflow Applications, Middleware and Performance. CoRR Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha
2024	—	`conf`	Accelerating Application Bulk Synchronous Writes in HPC Environments. SNTA@HPDC Awais Khan, Christopher Zimmer, Scott Atchley, Ross Miller, Sarp Oral, Feiyi Wang
2024	—	`conf`	BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer. SC Workshops Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024	—	`conf`	Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar
2024	—	`conf`	Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs. SC Workshops Haoshen Yang, Hao Lu, Naw Safrin Sattar, Hang Liu, Feiyi Wang
2024	—	`conf`	Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. SC Workshops Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024	J	`jnl`	Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. CoRR Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024	B	`conf`	Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers. IEEE Big Data Naw Safrin Sattar, Abigail Kapocius, Hao Lu, Mahantesh Halappanavar, Feiyi Wang
2024	J	`jnl`	Mixed-precision numerics in scientific applications: survey and perspectives. CoRR Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2024	—	`conf`	Navigating Exascale Operational Data Analytics: From Inundation to Insight. SC Workshops Woong Shin, Tim Osborne, Ahmad Maroof Karimi, Rachel Palumbo, Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah Huk, Scott Simmerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga A. Kuchar, Ryan Prout, Feiyi Wang, Scott Atchley, Sarp Oral
2024	C	`conf`	Optimizing Distributed Training on Frontier for Large Language Models. ISC Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2024	A	`conf`	Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. ICDCS Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang
2024	—	`conf`	Pretraining Billion-Scale Geospatial Foundational Models on Frontier. IPDPS (Workshops) Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga
2024	J	`jnl`	Pretraining Billion-scale Geospatial Foundational Models on Frontier. CoRR Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga
2024	A*	`conf`	ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. NeurIPS Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
2024	J	`jnl`	ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. CoRR Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
2024	J	`jnl`	Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads. CoRR Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang
2024	J	`jnl`	Reparation with moving least squares sampling and extraction of body sizes of beef cattle from unilateral point clouds. Comput. Electron. Agric. Qi Zhang, Zixia Hou, Lyuwen Huang, Feiyi Wang, Hongyan Meng
2024	J	`jnl`	Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. CoRR Wesley Brewer, Aditya Kashi, Sajal Dash, Aristeidis Tsaris, Junqi Yin, Mallikarjun Shankar, Feiyi Wang
2024	—	`conf`	SciTrust: Evaluating the Trustworthiness of Large Language Models for Science. SC Workshops Emily Herron, Junqi Yin, Feiyi Wang
2024	J	`jnl`	Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems. ACM Trans. Storage Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt
2024	—	`conf`	Towards Sustainable Post-Exascale Leadership Computing. SC Workshops Woong Shin, James B. White, Wael R. Elwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reuben D. Budiardja, Antigoni Georgiadou, Verónica Melesse Vergara, Jack Lange, Matthias Maiterth, Tim Osborne, Leah Huk, John K. Holmen, Nick Hagerty, Ahmad Maroof Karimi, Thomas J. Naughton, Ryan Adamson, Ryan Prout, Feiyi Wang, Scott Atchley, Kevin G. Thach, Thomas Beck, Sarp Oral
2024	A	`conf`	Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities. IEEE VIS Matthias Maiterth, Wes Brewer, Dane De Wet, Scott Greenwood, Vineet Kumar, Jesse Hines, Sedrick Bouknight, Zhe Wang, Tim Dykes, Feiyi Wang
2023	J	`jnl`	A calculation method of phenotypic traits based on three-dimensional reconstruction of tomato canopy. Comput. Electron. Agric. Tianyu Zhu, Xiaodan Ma, Haiou Guan, Xia Wu, Feiyi Wang, Chen Yang, Qiu Jiang
2023	J	`jnl`	A method for detecting tomato canopies' phenotypic traits based on improved skeleton extraction algorithm. Comput. Electron. Agric. Tianyu Zhu, Xiaodan Ma, Haiou Guan, Xia Wu, Feiyi Wang, Chen Yang, Qiu Jiang
2023	B	`conf`	Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR 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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	A	`conf`	DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys. IPDPS Junqi Yin, Feiyi Wang, Mallikarjun Arjun Shankar
2023	A	`conf`	Distributing Simplex-Shaped Nested for-Loops to Identify Carcinogenic Gene Combinations. IPDPS Sajal Dash, Mohammad Alaul Haque Monil, Junqi Yin, Ramu Anandakrishnan, Feiyi Wang
2023	J	`jnl`	Dynamic simulation of leaf area index for the soybean canopy based on 3D reconstruction. Ecol. Informatics Bingxue Wei, Xiaodan Ma, Haiou Guan, Miao Yu, Chen Yang, Haotian He, Feiyi Wang, Panpan Shen
2023	J	`jnl`	Evaluation of pre-training large language models on leadership-class supercomputers. J. Supercomput. Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, Georgia D. Tourassi
2023	A	`conf`	FORGE: Pre-Training Open Foundation Models for Science. SC Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar
2023	C	`conf`	Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok
2023	J	`jnl`	Optimizing Distributed Training on Frontier for Large Language Models. CoRR Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash
2023	—	`conf`	Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
2023	J	`jnl`	TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser
2023	—	`conf`	Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
2022	—	`conf`	A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. IPDPS Workshops Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Folami T. Alamudun, Hong-Jun Yoon, Feiyi Wang
2022	—	`conf`	AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops 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
2022	A	`conf`	Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. HPDC Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley
2022	A	`conf`	Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. SC Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang
2022	C	`conf`	Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications. CLUSTER Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang
2022	J	`jnl`	I/O performance analysis of machine learning workloads on leadership scale supercomputer. Perform. Evaluation Ahmad Maroof Karimi, Arnab K. Paul, Feiyi Wang
2022	J	`jnl`	Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser
2022	A	`conf`	Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. HPDC Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang
2022	—	`conf`	Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications. IPDPS Workshops Junqi Yin, Feiyi Wang, Mallikarjun Shankar
2022	B	`conf`	Toward an Autonomous Workflow for Single Crystal Neutron Diffraction. SMC Junqi Yin, Guannan Zhang, Huibo Cao, Sajal Dash, Bryan C. Chakoumakos, Feiyi Wang
2021	B	`conf`	Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery. SMC 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
2021	B	`conf`	Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems. MASCOTS Arnab Kumar Paul, Ahmad Maroof Karimi, Feiyi Wang
2021	B	`conf`	Dynamics of Counterfactual Retrieval. CogSci Feiyi Wang, Ada Aka, Sudeep Bhatia
2021	A	`conf`	Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. IPDPS Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang
2021	—	`conf`	Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng
2021	A	`conf`	Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. SC Woong Shin, Vladyslav Oles, Ahmad Maroof Karimi, J. Austin Ellis, Feiyi Wang
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 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
2021	C	`conf`	The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption. CLUSTER Chengcheng Li, Ahmad Maroof Karimi, Woong Shin, Hairong Qi, Feiyi Wang
2019	—	`conf`	Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. PDSW@SC Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang
2019	A	`conf`	End-to-end I/O portfolio for the summit supercomputing ecosystem. SC 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
2019	—	`conf`	LCIO: Large Scale Filesystem Aging. Bench Matthew Bachstein, Feiyi Wang, Sarp Oral
2019	C	`conf`	Learning from Five-year Resource-Utilization Data of Titan System. CLUSTER Feiyi Wang, Sarp Oral, Satyabrata Sen, Neena Imam
2019	A	`conf`	iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems. IPDPS Bharti Wadhwa, Arnab Kumar Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali Raza Butt, Jon Bernard, Kirk W. Cameron
2018	A	`conf`	Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt
2018	J	`jnl`	HPC Software and Programming Environments for Big Data Applications. Sci. Program. Youngjae Kim, Sungyong Park, Feiyi Wang, Guangyu Sun, Shangguang Wang
2018	A	`conf`	The design, deployment, and evaluation of the CORAL pre-exascale systems. SC 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
2017	—	`conf`	Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017	B	`conf`	Automatic and Transparent Resource Contention Mitigation for Improving Large-Scale Parallel File System Performance. ICPADS Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ulrich Brüning
2017	A	`conf`	Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017	—	`conf`	Diving into petascale production file systems through large scale profiling and analysis. PDSW-DISCS@SC Feiyi Wang, Hyogi Sim, Cameron Harr, Sarp Oral
2017	A	`conf`	GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. SC Sudharshan S. Vazhkudai, Ross G. Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert
2017	—	`conf`	I/O load balancing for big data HPC applications. IEEE BigData Arnab Kumar Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali Raza Butt, Michael J. Brim, Sangeetha B. Srinivasa
2017	J	`jnl`	Optimizing checkpoint data placement with guaranteed burst buffer endurance in large-scale hierarchical storage systems. J. Parallel Distributed Comput. Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral
2016	—	`conf`	A Bloom Filter Based Scalable Data Integrity Check Tool for Large-Scale Dataset. PDSW-DISCS@SC Sisi Xiong, Feiyi Wang, Qing Cao
2016	C	`conf`	Using Balanced Data Placement to Address I/O Contention in Production Environments. SBAC-PAD Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brüning
2015	A	`conf`	A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. SC Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao
2015	—	`conf`	Comparative I/O workload characterization of two leadership class storage clusters. PDSW@SC Raghul Gunasekaran, Sarp Oral, Jason Hill, Ross Miller, Feiyi Wang, Dustin Leverman
2014	A	`conf`	Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. SC 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
2014	J	`jnl`	Coordinating Garbage Collectionfor Arrays of Solid-State Drives. IEEE Trans. Computers Youngjae Kim, Junghee Lee, Sarp Oral, David Dillow, Feiyi Wang, Galen M. Shipman
2014	B	`conf`	Improving large-scale storage system performance via topology-aware and balanced data placement. ICPADS Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai
2014	Misc	`conf`	SSD-optimized workload placement with adaptive learning and classification in HPC environments. MSST Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley W. Settlemyer
2014	J	`jnl`	The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data. Future Gener. Comput. Syst. 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
2013	—	`conf`	Asynchronous object storage with QoS for scientific and commercial big data. PDSW@SC Michael J. Brim, David A. Dillow, Sarp Oral, Bradley W. Settlemyer, Feiyi Wang
2013	—	`conf`	Performance and scalability evaluation of the Ceph parallel file system. PDSW@SC Feiyi Wang, Mark Nelson, Sarp Oral, Scott Atchley, Sage A. Weil, Bradley W. Settlemyer, Blake Caldwell, Jason Hill
2012	—	`conf`	The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data. eScience 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
2011	B	`conf`	A semi-preemptive garbage collector for solid state drives. ISPASS Junghee Lee, Youngjae Kim, Galen M. Shipman, Sarp Oral, Feiyi Wang, Jongman Kim
2011	Misc	`conf`	Harmonia: A globally coordinated garbage collector for arrays of Solid-State Drives. MSST Youngjae Kim, Sarp Oral, Galen M. Shipman, Junghee Lee, David Dillow, Feiyi Wang
2010	A	`conf`	Efficient Object Storage Journaling in a Distributed Parallel File System. FAST Sarp Oral, Feiyi Wang, David Dillow, Galen M. Shipman, Ross G. Miller, Oleg Drokin
2005	A	`conf`	Biologically-inspired self-deployable heterogeneous mobile sensor networks. IROS Lidan Miao, Hairong Qi, Feiyi Wang
2004	J	`jnl`	Stephanie Bryant and Feiyi Wang, Aspects of adaptive reconfiguration in a scalable intrusion tolerant system, Complex. Stephanie Bryant, Feiyi Wang
2003	J	`jnl`	Aspects of adaptive reconfiguration in a scalable intrusion tolerant system. Complex. Stephanie Bryant, Feiyi Wang
2003	J	`jnl`	Design and implementation of Acceptance Monitor for building intrusion tolerant systems. Softw. Pract. Exp. Rong Wang, Feiyi Wang, Gregory T. Byrd
2003	—	`conf`	SITAR: A Scalable Intrusion-Tolerant Architecture for Distributed Services-A Technology Summary. DISCEX (2) Feiyi Wang, Raghu Upppalli
2001	B	`conf`	Design and implementation of acceptance monitor for building scalable intrusion tolerant system. ICCCN Rong Wang, Feiyi Wang, Gregory T. Byrd
2000	B	`conf`	A property oriented fault detection approach for link state routing protocol. ICCCN Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu
1999	B	`conf`	Intrusion detection for link state routing protocol through integrated network management. ICCCN Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu, Ravindar Narayan
1998	B	`conf`	On the Vulnerabilities and Protection of OSPF Routing Protocol. ICCCN Feiyi Wang, Shyhtsun Felix Wu
1998	B	`conf`	Statistical Anomaly Detection for Link-State Routing Protocols. ICNP Diheng Qu, Brian Vetter, Feiyi Wang, Ravindar Narayan, Shyhtsun Felix Wu, Y. Frank Jou, Fengmin Gong, Chandramouli Sargor
1997	B	`conf`	An experimental study of insider attacks for OSPF routing protocol. ICNP Brian Vetter, Feiyi Wang, Shyhtsun Felix Wu