Search Results for author: Charlie Tai

Found 5 papers, 2 papers with code

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments

no code implementations10 Apr 2023 Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi Iyer, Andrew Herdrich

Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of ownership.

PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications

no code implementations19 Jan 2022 Drew Penney, Bin Li, Jaroslaw Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long

A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads with best-effort workloads.


Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More

2 code implementations6 Mar 2021 Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava

Our work highlights several novel perspectives and opportunities for implementing randomized algorithms for deep learning on modern CPUs.

IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform

no code implementations9 Jul 2020 Yifan Yuan, Mohammad Alian, Yipeng Wang, Ilia Kurakin, Ren Wang, Charlie Tai, Nam Sung Kim

In this paper, we argue that besides CPU cores, high-speed network I/O is also important for LLC management.

Hardware Architecture Operating Systems

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