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King Tin Lam
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2010 – 2019
- 2018
- [j3]Mingzhe Zhang
, King Tin Lam, Xin Yao, Cho-Li Wang:
SIMPO: A Scalable In-Memory Persistent Object Framework Using NVRAM for Reliable Big Data Computing. ACM Trans. Archit. Code Optim. 15(1): 7:1-7:28 (2018) - 2017
- [j2]Zhiquan Lai, King Tin Lam, Cho-Li Wang, Jinshu Su
PoweRock: Power Modeling and Flexible Dynamic Power Management for Many-Core Architectures. IEEE Syst. J. 11(2): 600-612 (2017) - 2016
- [c11]Hongyuan Liu
Lightweight Dependency Checking for Parallelizing Loops with Non-Deterministic Dependency on GPU. ICPADS 2016: 884-893 - 2015
- [j1]Zhiquan Lai, King Tin Lam, Cho-Li Wang, Jinshu Su
Latency-aware DVFS for efficient power state transitions on many-core architectures. J. Supercomput. 71(7): 2720-2747 (2015) - [c10]Kinson Chan, King Tin Lam, Cho-Li Wang:
Cache Affinity Optimization Techniques for Scaling Software Transactional Memory Systems on Multi-CMP Architectures. ISPDC 2015: 56-65 - 2014
- [c9]Weida Zhang, King Tin Lam, Cho-Li Wang:
Adaptive Live VM Migration over a WAN: Modeling and Implementation. IEEE CLOUD 2014: 368-375 - [c8]King Tin Lam, Jinghao Shi, Dominic Hung, Cho-Li Wang, Zhiquan Lai, Wangbin Zhu, Youliang Yan:
Rhymes: A shared virtual memory system for non-coherent tiled many-core architectures. ICPADS 2014: 183-190 - [c7]Zhiquan Lai, King Tin Lam, Cho-Li Wang, Jinshu Su
A Power Modelling Approach for Many-Core Architectures. SKG 2014: 128-132 - 2013
- [c6]Guodong Han, Chenggang Zhang, King Tin Lam, Cho-Li Wang:
Java with Auto-parallelization on Graphics Coprocessing Architecture. ICPP 2013: 504-509 - 2012
- [b1]King Tin Lam:
Efficient shared object space support for distributed Java virtual machine. University of Hong Kong, 2012 - 2011
- [c5]Ricky K. K. Ma, King Tin Lam, Cho-Li Wang:
eXCloud: Transparent runtime support for scaling mobile applications in cloud. CDC 2011: 103-110 - 2010
- [c4]Ricky K. K. Ma, King Tin Lam, Cho-Li Wang, Chenggang Zhang:
A Stack-on-Demand Execution Model for Elastic Computing. ICPP 2010: 208-217 - [c3]King Tin Lam, Yang Luo, Cho-Li Wang:
Adaptive sampling-based profiling techniques for optimizing the distributed JVM runtime. IPDPS 2010: 1-11
2000 – 2009
- 2009
- [c2]Yang Luo, King Tin Lam, Cho-Li Wang:
Path-Analytic Distributed Object Prefetching. ISPAN 2009: 98-103 - 2008
- [c1]King Tin Lam, Yang Luo, Cho-Li Wang:
A Performance Study of Clustering Web Application Servers with Distributed JVM. ICPADS 2008: 328-335
Coauthor Index
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