Charlie Tai

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Resource Allocation

Efficient Search

Top Venues

Publications

Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim
Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications. HPCA (2023)
Drew Penney, Bin Li, Jaroslaw J. Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
PROMPT: Learning dynamic resource allocation policies for network applications. Future Gener. Comput. Syst. 145 (2023)
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. CoRR (2023)
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
RAPID: Enabling fast online policy learning in dynamic public cloud environments. Neurocomputing 558 (2023)
Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications. CoRR (2022)
Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen
PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. CoRR (2022)
Jaroslaw Sydir, Bin Li, Pietro Mercati, Charlie Tai, Ravi R. Iyer, Michael Kishinevsky, Boris Serafimov
DPM-NFV: Dynamic Power Management Framework for 5G User Plane Function using Bayesian Optimization. GLOBECOM (2022)
Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. CoRR (2021)
Yifan Yuan, Mohammad Alian, Yipeng Wang, Ren Wang, Ilia Kurakin, Charlie Tai, Nam Sung Kim
Don't Forget the I/O When Allocating Your LLC. ISCA (2021)
Qian Li, Bin Li, Pietro Mercati, Ramesh Illikkal, Charlie Tai, Michael Kishinevsky, Christos Kozyrakis
RAMBO: Resource Allocation for Microservices Using Bayesian Optimization. IEEE Comput. Archit. Lett. 20 (1) (2021)
Yifan Yuan, Yipeng Wang, Ren Wang, Rangeen Basu Roy Chowdhury, Charlie Tai, Nam Sung Kim
QEI: Query Acceleration Can be Generic and Efficient in the Cloud. HPCA (2021)
Pietro Mercati, Bin Li, Mesut Ali Ergin, Charlie Tai, Michael Kishinevsky, Boris Serafimov, Subhiksha Ravisundar, Eoin Walsh, Thomas Long
MOBO-NFV: Automated Tuning of a Network Function Virtualization System using Multi-Objective Bayesian Optimization. IM (2021)
Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft (2020)
Brent A. Miller, Toby Nixon, Charlie Tai, Mark D. Wood
Home networking with Universal Plug and Play. IEEE Commun. Mag. 39 (12) (2001)