Feiyi Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
63
Venues
19
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
63 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Tula: Optimizing Time, Cost, and Generalization in Distributed Large-Batch Training. | Sahil Tyagi, Feiyi Wang |
| 2026 | ICS | FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving. | Shouwei Gao, Junqi Yin, Feiyi Wang, Wenqian Dong |
| 2026 | ICS | CORE-BFS: Communication-Optimized REctangular-partitioned BFS Achieving 160.845 TeraTEPS on Frontier Supercomputer. | Haoshen Yang, Hao Lu, Michael A. Matheson, Feiyi Wang, Hang Liu |
| 2025 | EMNLP | REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking. | Pinhuan Wang, Zhiqiu Xia, Chunhua Liao, Feiyi Wang, Hang Liu |
| 2025 | ICDCN | User-based I/O Profiling for Leadership Scale HPC Workloads. | Ahmad Hossein Yazdani, Arnab K. Paul, Ahmad Maroof Karimi, Feiyi Wang, Ali Raza Butt |
| 2025 | ICML | Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. | Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu |
| 2025 | SC | Insights from Optimizing HPL Performance on Exascale Systems: A Comparative Analysis of Panel Factorization. | Hao Lu, Michael A. Matheson, Noel Chalmers, Aditya Kashi, Nicholas Malaya, Feiyi Wang |
| 2025 | SC | Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. | 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 L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang |
| 2025 | SC | Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. | Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang |
| 2025 | SC | HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. | 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 | SC | AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. | 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 | SC | Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. | Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jord 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 | SC | The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science. | Woong Shin, Renan Souza, Daniel Rosendo, Frdric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva |
| 2025 | SC | Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. | Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang |
| 2025 | SC | OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC. | Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang |
| 2025 | SC | RingX: Scalable Parallel Attention for Long-Context Learning on HPC. | Junqi Yin, Mijanur Palash, Mallikarjun Shankar, Feiyi Wang |
| 2025 | SC | X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms. | Yueming Yuan, Ahan Gupta, Jianping Li, Sajal Dash, Feiyi Wang, Minjia Zhang |
| 2024 | ICDCS | Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. | Ahmad Maroof Karimi, Naw Safrin Sattar, Woong Shin, Feiyi Wang |
| 2024 | SC | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. | Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang |
| 2024 | SC | SciTrust: Evaluating the Trustworthiness of Large Language Models for Science. | Emily J. Herron, Junqi Yin, Feiyi Wang |
| 2024 | SC | Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. | Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang |
| 2024 | SC | BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer. | Naw Safrin Sattar, Hao Lu, Feiyi Wang |
| 2024 | SC | Navigating Exascale Operational Data Analytics: From Inundation to Insight. | 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 | SC | Towards Sustainable Post-Exascale Leadership Computing. | Woong Shin, James B. White, Wael R. Elwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reuben D. Budiardja, Antigoni Georgiadou, Vernica 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 | SC | Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs. | Haoshen Yang, Hao Lu, Naw Safrin Sattar, Hang Liu, Feiyi Wang |
| 2023 | HPCC | Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. | Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan |
| 2023 | MASCOTS | Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. | Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang |
| 2023 | SC | FORGE: Pre-Training Open Foundation Models for Science. | Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar |
| 2022 | CLUSTER | Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications. | Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang |
| 2022 | HPDC | Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. | Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley |
| 2022 | HPDC | Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. | Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang |
| 2022 | SC | Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. | Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang |
| 2021 | CLUSTER | The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption. | Chengcheng Li, Ahmad Maroof Karimi, Woong Shin, Hairong Qi, Feiyi Wang |
| 2021 | CogSci | Dynamics of Counterfactual Retrieval. | Feiyi Wang, Ada Aka, Sudeep Bhatia |
| 2021 | MASCOTS | Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems. | Arnab Kumar Paul, Ahmad Maroof Karimi, Feiyi Wang |
| 2021 | SC | Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. | Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng |
| 2021 | SC | Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer. | Woong Shin, Vladyslav Oles, Ahmad Maroof Karimi, J. Austin Ellis, Feiyi Wang |
| 2019 | CLUSTER | Learning from Five-year Resource-Utilization Data of Titan System. | Feiyi Wang, Sarp Oral, Satyabrata Sen, Neena Imam |
| 2019 | SC | End-to-end I/O portfolio for the summit supercomputing ecosystem. | Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang, Christopher Zimmer, Christopher Brumgard, Jesse Hanley, George Markomanolis, Ross G. Miller, Dustin Leverman, Scott Atchley, Vernica G. Vergara Larrea |
| 2019 | SC | Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. | Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang |
| 2018 | SC | The design, deployment, and evaluation of the CORAL pre-exascale systems. | 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, Vernica 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 | HPCC | Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. | Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky |
| 2017 | ICDCS | Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. | Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky |
| 2017 | ICPADS | Automatic and Transparent Resource Contention Mitigation for Improving Large-Scale Parallel File System Performance. | Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ulrich Brning |
| 2017 | SC | GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. | Sudharshan S. Vazhkudai, Ross G. Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert |
| 2017 | SC | Diving into petascale production file systems through large scale profiling and analysis. | Feiyi Wang, Hyogi Sim, Cameron Harr, Sarp Oral |
| 2016 | SC | A Bloom Filter Based Scalable Data Integrity Check Tool for Large-Scale Dataset. | Sisi Xiong, Feiyi Wang, Qing Cao |
| 2016 | SBAC-PAD | Using Balanced Data Placement to Address I/O Contention in Production Environments. | Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brning |
| 2015 | SC | Comparative I/O workload characterization of two leadership class storage clusters. | Raghul Gunasekaran, Sarp Oral, Jason Hill, Ross Miller, Feiyi Wang, Dustin Leverman |
| 2015 | SC | A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. | Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao |
| 2014 | ICPADS | Improving large-scale storage system performance via topology-aware and balanced data placement. | Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai |
| 2014 | SC | Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. | 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 |
| 2013 | SC | Asynchronous object storage with QoS for scientific and commercial big data. | Michael J. Brim, David A. Dillow, Sarp Oral, Bradley W. Settlemyer, Feiyi Wang |
| 2013 | SC | Performance and scalability evaluation of the Ceph parallel file system. | Feiyi Wang, Mark Nelson, Sarp Oral, Scott Atchley, Sage A. Weil, Bradley W. Settlemyer, Blake Caldwell, Jason Hill |
| 2011 | ISPASS | A semi-preemptive garbage collector for solid state drives. | Junghee Lee, Youngjae Kim, Galen M. Shipman, Sarp Oral, Feiyi Wang, Jongman Kim |
| 2010 | FAST | Efficient Object Storage Journaling in a Distributed Parallel File System. | Sarp Oral, Feiyi Wang, David Dillow, Galen M. Shipman, Ross G. Miller, Oleg Drokin |
| 2005 | IROS | Biologically-inspired self-deployable heterogeneous mobile sensor networks. | Lidan Miao, Hairong Qi, Feiyi Wang |
| 2001 | ICCCN | Design and implementation of acceptance monitor for building scalable intrusion tolerant system. | Rong Wang, Feiyi Wang, Gregory T. Byrd |
| 2000 | ICCCN | A property oriented fault detection approach for link state routing protocol. | Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu |
| 1999 | ICCCN | Intrusion detection for link state routing protocol through integrated network management. | Feiyi Wang, Fengmin Gong, Shyhtsun Felix Wu, Ravindar Narayan |
| 1998 | ICCCN | On the Vulnerabilities and Protection of OSPF Routing Protocol. | Feiyi Wang, Shyhtsun Felix Wu |
| 1998 | ICNP | Statistical Anomaly Detection for Link-State Routing Protocols. | Diheng Qu, Brian Vetter, Feiyi Wang, Ravindar Narayan, Shyhtsun Felix Wu, Y. Frank Jou, Fengmin Gong, Chandramouli Sargor |
| 1997 | ICNP | An experimental study of insider attacks for OSPF routing protocol. | Brian Vetter, Feiyi Wang, Shyhtsun Felix Wu |