Yaosheng Fu - RankMe

18 papers A* 6B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EMPIRIC: Exploring Missing Pieces in KV Cache Compression for Reducing Computation, Storage, and Latency in Long-Context LLM Inference. ACM SIGOPS Oper. Syst. Rev. Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025	A*	`conf`	RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. ICML Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025	J	`jnl`	RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. CoRR Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2023	—	`conf`	AutoScratch: ML-Optimized Cache Management for Inference-Oriented GPUs. MLSys Yaosheng Fu, Evgeny Bolotin, Aamer Jaleel, Gal Dalal, Shie Mannor, Jacob Subag, Noam Korem, Michael Behar, David W. Nellans
2022	J	`jnl`	GPU Domain Specialization via Composable On-Package Architecture. ACM Trans. Archit. Code Optim. Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
2021	J	`jnl`	GPU Domain Specialization via Composable On-Package Architecture. CoRR Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
2021	A*	`conf`	Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator. HPCA Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Nan Jiang, David W. Nellans
2020	A*	`conf`	BYOC: A "Bring Your Own Core" Framework for Heterogeneous-ISA Research. ASPLOS Jonathan Balkind, Katie Lim, Michael Schaffner, Fei Gao, Grigory Chirkov, Ang Li, Alexey Lavrov, Tri M. Nguyen, Yaosheng Fu, Florian Zaruba, Kunal Gulati, Luca Benini, David Wentzlaff
2020	J	`jnl`	The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu
2019	J	`jnl`	OpenPiton: an open source hardware platform for your research. Commun. ACM Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff
2019	J	`jnl`	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training. CoRR Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David W. Nellans, Puneet Gupta
2019	J	`jnl`	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training. IEEE Micro Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David W. Nellans, Puneet Gupta
2018	A*	`conf`	Power and Energy Characterization of an Open Source 25-Core Manycore Processor. HPCA Michael McKeown, Alexey Lavrov, Mohammad Shahrad, Paul J. Jackson, Yaosheng Fu, Jonathan Balkind, Tri Minh Nguyen, Katie Lim, Yanqi Zhou, David Wentzlaff
2017	J	`jnl`	Piton: A Manycore Processor for Multitenant Clouds. IEEE Micro Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
2016	A*	`conf`	OpenPiton: An Open Source Manycore Research Framework. ASPLOS Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff
2016	—	`conf`	Piton: A 25-core academic manycore research processor. Hot Chips Symposium Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
2015	A*	`conf`	Coherence domain restriction on large scale systems. MICRO Yaosheng Fu, Tri Minh Nguyen, David Wentzlaff
2014	B	`conf`	PriME: A parallel and distributed simulator for thousand-core chips. ISPASS Yaosheng Fu, David Wentzlaff