Charlie Tai - Concepedia

Author

Charlie Tai

Intel (United States)

Also Known As

Ana Locateli, C. Tai, Charlie Tai, Chen, Lizhong, Tai, Charlie, Wang, Ren

Publications

512

Citations

H-Index

Concepts

All Affiliations

Intel (United States)Intel (United Kingdom)Rice University

About

Charlie Tai is an author at Intel (United States) specializing in parallel computing, computer science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	224
2	Computer Science	6	6	224
3	Computer Engineering	5	5	175
4	Data Science	3	3	103
5	Business	1	1	49

Charlie Tai

Publications

487

Citations

H-Index

Page 1

	Year	Citations
Home networking with Universal Plug and Play Brent A. Miller, Tommy Nixon, Charlie Tai, IEEE Communications Magazine Gateway (Telecommunications)Upnp ForumUniversal PlugHome NetworkBenefits Upnp Technology	2001	214
Energy-efficient interconnect via Router Parking Ahmad Samih, Ren Wang, Anil Krishna, Cluster ComputingEngineeringEnergy EfficiencyComputer ArchitectureGreen Networking	2013	84
RAMBO: Resource Allocation for Microservices Using Bayesian Optimization Qian Li, Bin Li, Pietro Mercati, IEEE Computer Architecture Letters Cluster ComputingProvisioning (Technology)EngineeringDynamic Resource AllocationCloud Applications	2021	49
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems Beidi Chen, Tharun Medini, James Farwell, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceHardware Acceleration	2019	44
Don’t Forget the I/O When Allocating Your LLC Yifan Yuan, Mohammad Alian, Yipeng Wang,	2021	33
Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications Yifan Yuan, Jinghan Huang, Yan Sun, Hardware SecuritySmart NicMemory ArchitectureEngineeringEdge Computing	2023	24
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization,\n Quantizations, Memory Optimizations, and More Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, arXiv (Cornell University)	2021	16
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization Bin Li, Yipeng Wang, Ren Wang, EngineeringDynamic Resource AllocationVirtual Network FunctionsData Center EfficiencyComputing Systems	2020	13
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems Beidi Chen, Tharun Medini, James Farwell, Proceedings of Machine Learning and Systems Artificial IntelligenceEngineeringMachine LearningData ScienceHardware Acceleration	2020	10

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