Charlie Tai - RankMe

14 papers A* 3B 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	PROMPT: Learning dynamic resource allocation policies for network applications. Future Gener. Comput. Syst. Drew Penney, Bin Li, Jaroslaw J. Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
2023	J	`jnl`	RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. CoRR Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
2023	J	`jnl`	RAPID: Enabling fast online policy learning in dynamic public cloud environments. Neurocomputing Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
2023	A*	`conf`	Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications. HPCA Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim
2022	B	`conf`	DPM-NFV: Dynamic Power Management Framework for 5G User Plane Function using Bayesian Optimization. GLOBECOM Jaroslaw Sydir, Bin Li, Pietro Mercati, Charlie Tai, Ravi R. Iyer, Michael Kishinevsky, Boris Serafimov
2022	J	`jnl`	ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications. CoRR Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim
2022	J	`jnl`	PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. CoRR Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen
2021	J	`jnl`	Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. CoRR Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava
2021	A*	`conf`	Don't Forget the I/O When Allocating Your LLC. ISCA Yifan Yuan, Mohammad Alian, Yipeng Wang, Ren Wang, Ilia Kurakin, Charlie Tai, Nam Sung Kim
2021	B	`conf`	MOBO-NFV: Automated Tuning of a Network Function Virtualization System using Multi-Objective Bayesian Optimization. IM Pietro Mercati, Bin Li, Mesut Ali Ergin, Charlie Tai, Michael Kishinevsky, Boris Serafimov, Subhiksha Ravisundar, Eoin Walsh, Thomas Long
2021	A*	`conf`	QEI: Query Acceleration Can be Generic and Efficient in the Cloud. HPCA Yifan Yuan, Yipeng Wang, Ren Wang, Rangeen Basu Roy Chowdhury, Charlie Tai, Nam Sung Kim
2021	J	`jnl`	RAMBO: Resource Allocation for Microservices Using Bayesian Optimization. IEEE Comput. Archit. Lett. Qian Li, Bin Li, Pietro Mercati, Ramesh Illikkal, Charlie Tai, Michael Kishinevsky, Christos Kozyrakis
2020	B	`conf`	RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic
2001	J	`jnl`	Home networking with Universal Plug and Play. IEEE Commun. Mag. Brent A. Miller, Toby Nixon, Charlie Tai, Mark D. Wood