| OpenPiton: An open source manycore research framework J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... ACM SIGPLAN Notices 51 (4), 217-232, 2016 | 346 | 2016 |
| Optimizing multi-GPU parallelization strategies for deep learning training S Pal, E Ebrahimi, A Zulfiqar, Y Fu, V Zhang, S Migacz, D Nellans, ... Ieee Micro 39 (5), 91-101, 2019 | 97 | 2019 |
| BYOC: a" bring your own core" framework for heterogeneous-ISA research J Balkind, K Lim, M Schaffner, F Gao, G Chirkov, A Li, A Lavrov, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 79 | 2020 |
| Need for speed: Experiences building a trustworthy system-level gpu simulator O Villa, D Lustig, Z Yan, E Bolotin, Y Fu, N Chatterjee, N Jiang, D Nellans 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 69 | 2021 |
| Power and Energy Characterization of an Open Source 25-Core Manycore Processor. M McKeown, A Lavrov, M Shahrad, PJ Jackson, Y Fu, J Balkind, ... HPCA, 762-775, 2018 | 62 | 2018 |
| Coherence domain restriction on large scale systems Y Fu, TM Nguyen, D Wentzlaff Proceedings of the 48th International Symposium on Microarchitecture, 686-698, 2015 | 61 | 2015 |
| PriME: A parallel and distributed simulator for thousand-core chips Y Fu, D Wentzlaff 2014 IEEE International Symposium on Performance Analysis of Systems and …, 2014 | 50 | 2014 |
| Piton: A manycore processor for multitenant clouds M McKeown, Y Fu, T Nguyen, Y Zhou, J Balkind, A Lavrov, M Shahrad, ... Ieee micro 37 (2), 70-80, 2017 | 45 | 2017 |
| The architectural implications of distributed reinforcement learning on CPU-GPU systems A Inci, E Bolotin, Y Fu, G Dalal, S Mannor, D Nellans, D Marculescu arXiv preprint arXiv:2012.04210, 2020 | 22 | 2020 |
| GPU domain specialization via composable on-package architecture Y Fu, E Bolotin, N Chatterjee, D Nellans, SW Keckler ACM Transactions on Architecture and Code Optimization (TACO) 19 (1), 1-23, 2021 | 21 | 2021 |
| OpenPiton: an open source hardware platform for your research J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... Communications of the ACM 62 (12), 79-87, 2019 | 13 | 2019 |
| RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression P Behnam, Y Fu, R Zhao, PA Tsai, Z Yu, A Tumanov arXiv preprint arXiv:2502.14051, 2025 | 8 | 2025 |
| Piton: A 25-core academic manycore processor M McKeown, Y Fu, T Nguyen, Y Zhou, J Balkind, A Lavrov, M Shahrad, ... Symp. on High Performance Chips, 2016 | 6 | 2016 |
| A new joint source and channel coding scheme for packet-based scalable multimedia streams C Chi, Y Zhang, Y Fu, Z Yang 2010 IEEE Globecom Workshops, 954-959, 2010 | 6 | 2010 |
| Autoscratch: Ml-optimized cache management for inference-oriented gpus Y Fu, E Bolotin, A Jaleel, G Dalal, S Mannor, J Subag, N Korem, M Behar, ... Proceedings of Machine Learning and Systems 5, 495-512, 2023 | 4 | 2023 |
| Piton: A 25-core academic manycore research processor M McKeown, Y Fu, T Nguyen, Y Zhou, J Balkind, A Lavrov, M Shahrad, ... 2016 IEEE Hot Chips 28 Symposium (HCS), 1-38, 2016 | 3 | 2016 |
| OpenPit J Balkind, M McKeown, Y Fu, T Nguyen, Y Zhou, A Lavrov, M Shahrad, ... | 3 | 2016 |
| Technique for autonomously managing cache using machine learning Y Fu, S Mannor, E Bolotin, D Nellans, G Dalal US Patent App. 17/514,735, 2023 | 2 | 2023 |
| Techniques for configuring parallel processors for different application domains Y Fu, E Bolotin, N Chatterjee, SW Keckler, D Nellans US Patent 11,609,879, 2023 | 2 | 2023 |
| Architectural Support for Large-scale Shared Memory Systems Y Fu Princeton University, 2017 | 2 | 2017 |
David WentzlaffAssociate Professor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
