Xuanhua Shi
Xuanhua Shi
Professor of Computer Science, Huazhong University of Science and Technology, China
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Live virtual machine migration with adaptive, memory compression
H Jin, L Deng, S Wu, X Shi, X Pan
2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009
Evaluating mapreduce on virtual machines: The hadoop case
S Ibrahim, H Jin, L Lu, L Qi, S Wu, X Shi
Cloud Computing: First International Conference, CloudCom 2009, Beijing …, 2009
Graph Processing on GPUs: A Survey
X Shi, Z Zheng, Y Zhou, H Jin, L He, B Liu, QS Hua
ACM Computing Surveys, 2018
Capuchin: Tensor-based gpu memory management for deep learning
X Peng, X Shi, H Dai, H Jin, W Ma, Q Xiong, F Yang, X Qian
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
Optimizing the live migration of virtual machine by CPU scheduling
H Jin, W Gao, S Wu, X Shi, X Wu, F Zhou
Journal of Network and Computer Applications 34 (4), 1088-1096, 2011
Towards optimized fine-grained pricing of IaaS cloud platform
H Jin, X Wang, S Wu, S Di, X Shi
IEEE Transactions on cloud Computing 3 (4), 436-448, 2014
Tools and technologies for building clouds
H Jin, S Ibrahim, T Bell, L Qi, H Cao, S Wu, X Shi
Cloud computing: Principles, systems and applications, 3-20, 2010
Lifetime-Based Memory Management for Distributed Data Processing Systems
L Lu, X Shi, Y Zhou, X Zhang, H Jin, C Pei, L He, Y Geng
PVLDB, 2016
MECOM: Live migration of virtual machines by adaptively compressing memory pages
H Jin, L Deng, S Wu, X Shi, H Chen, X Pan
Future Generation Computer Systems 38, 23-35, 2014
Safestack: Automatically patching stack-based buffer overflow vulnerabilities
G Chen, H Jin, D Zou, BB Zhou, Z Liang, W Zheng, X Shi
IEEE Transactions on Dependable and Secure Computing 10 (6), 368-379, 2013
Semantic and syntactic enhanced aspect sentiment triplet extraction
Z Chen, H Huang, B Liu, X Shi, H Jin
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
Mammoth: Gearing hadoop towards memory-intensive mapreduce applications
X Shi, M Chen, L He, X Xie, L Lu, H Jin, Y Chen, S Wu
IEEE Transactions on Parallel and Distributed Systems 26 (8), 2300-2315, 2015
Frog: Asynchronous graph processing on GPU with hybrid coloring model
X Shi, X Luo, J Liang, P Zhao, S Di, B He, H Jin
IEEE Transactions on Knowledge and Data Engineering 30 (1), 29-42, 2017
Core maintenance in dynamic graphs: A parallel approach based on matching
H Jin, N Wang, D Yu, QS Hua, X Shi, X Xie
IEEE Transactions on Parallel and Distributed Systems 29 (11), 2416-2428, 2018
DAGMap: efficient and dependable scheduling of DAG workflow job in Grid
H Cao, H Jin, X Wu, S Wu, X Shi
The Journal of supercomputing 51, 201-223, 2010
Layer-centric memory reuse and data migration for extreme-scale deep learning on many-core architectures
H Jin, B Liu, W Jiang, Y Ma, X Shi, B He, S Zhao
ACM Transactions on Architecture and Code Optimization (TACO) 15 (3), 1-26, 2018
RTRM: A response time-based replica management strategy for cloud storage system
X Bai, H Jin, X Liao, X Shi, Z Shao
Grid and Pervasive Computing: 8th International Conference, GPC 2013 and …, 2013
An adaptive meta-scheduler for data-intensive applications
H Jin, X Shi, W Qiang, D Zou
International Journal of Grid and Utility Computing 1 (1), 32-37, 2005
The mapreduce programming model and implementations
H Jin, S Ibrahim, L Qi, H Cao, S Wu, X Shi
Cloud computing: principles and paradigms, 373-390, 2011
VirtCFT: A transparent VM-level fault-tolerant system for virtual clusters
M Zhang, H Jin, X Shi, S Wu
2010 IEEE 16th International Conference on Parallel and Distributed Systems …, 2010
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