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Ming Zhao 0002
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Publications
- 2022
- [i3]Kaiqi Zhao, Yitao Chen, Ming Zhao:
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. CoRR abs/2201.10947 (2022) - 2021
- [j11]Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao:
Toward Multi-FPGA Acceleration of the Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 25:1-25:23 (2021) - [c55]Saman Biookaghazadeh, Fengbo Ren, Ming Zhao:
Characterizing Loop Acceleration in Heterogeneous Computing. CLOUD 2021: 445-455 - [c54]Liana V. Rodriguez, Farzana Beente Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, Giri Narasimhan:
Learning Cache Replacement with CACHEUS. FAST 2021: 341-354 - [c53]Eugene N. Kuznetsov, Yitao Chen, Ming Zhao:
SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone. SEC 2021: 55-67 - 2020
- [j10]Jianyu Fu, Youyou Lu, Jiwu Shu, Guangming Liu, Ming Zhao:
COWCache: effective flash caching for Copy-on-Write virtual disks. Clust. Comput. 23(2): 623-639 (2020) - [e3]Irfan Ahmad, Ming Zhao:
3rd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2020, June 25-26, 2020. USENIX Association 2020 [contents] - 2019
- [j9]Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Wenji Li, Raju Rangaswami, Ming Zhao:
Evaluating Docker storage performance: from workloads to graph drivers. Clust. Comput. 22(4): 1159-1172 (2019) - [j7]George Amvrosiadis, Ali Raza Butt, Vasily Tarasov, Erez Zadok, Ming Zhao:
Selected Results of the Workshop on Data Storage Research 2025. login Usenix Mag. 44(4) (2019) - [c52]Yitao Chen, Saman Biookaghazadeh, Ming Zhao:
Exploring the capabilities of mobile devices in supporting deep learning. SEC 2019: 127-138 - [c51]Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao:
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge 2019 - [c50]Ming Zhao, Yiqi Xu:
vPFS+: Managing I/O Performance for Diverse HPC Applications. MSST 2019: 51-64 - [c49]Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao:
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. OpML 2019: 47-49 - 2018
- [c46]Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao:
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? EDGE 2018: 42-49 - [c45]Ming Zhao, Jorge Cabrera:
RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling. EuroSys 2018: 27:1-27:13 - [c44]Saman Biookaghazadeh, Ming Zhao, Fengbo Ren:
Are FPGAs Suitable for Edge Computing? HotEdge 2018 - [c43]Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, Giri Narasimhan:
Driving Cache Replacement with ML-based LeCaR. HotStorage 2018 - [c42]Ragini Sharma, Saman Biookaghazadeh, Ming Zhao:
Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? HPDC (Posters/Doctoral Consortium) 2018: 15-16 - [c41]Yitao Chen, Saman Biookaghazadeh, Ming Zhao:
Exploring the Capabilities of Mobile Devices Supporting Deep Learning. HPDC (Posters/Doctoral Consortium) 2018: 17-18 - [c40]Jianyu Fu, Dulcardo Arteaga, Ming Zhao:
Locality-driven MRC Construction and Cache Allocation. HPDC (Posters/Doctoral Consortium) 2018: 19-20 - [c39]Ming Zhao, Lixi Wang, Yun Lv, Jing Xu:
Cross-Layer Optimization for Virtual Machine Resource Management. IC2E 2018: 90-98 - [e2]Ming Zhao, Abhishek Chandra, Lavanya Ramakrishnan:
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2018, Tempe, AZ, USA, June 11-15, 2018. ACM 2018 [contents] - [i1]Saman Biookaghazadeh, Fengbo Ren, Ming Zhao:
Are FPGAs Suitable for Edge Computing? CoRR abs/1804.06404 (2018) - 2017
- [c37]Saman Biookaghazadeh, Shujia Zhou, Ming Zhao:
Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems. NAS 2017: 1-10 - [c36]Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Amit Warke, Dean Hildebrand, Mohamed Mohamed, NagaPramod Mandagere, Wenji Li, Raju Rangaswami, Ming Zhao:
In Search of the Ideal Storage Configuration for Docker Containers. FAS*W@SASO/ICCAC 2017: 199-206 - 2016
- [j5]Hector A. Duran-Limon, Jesus Flores-Contreras, Nikos Parlavantzas, Ming Zhao, Angel Meulenert-Peña:
Efficient execution of the WRF model and other HPC applications in the cloud. Earth Sci. Informatics 9(3): 365-382 (2016) - [c35]Wenji Li, Gregory Jean-Baptise, Juan Riveros, Giri Narasimhan, Tony Zhang, Ming Zhao:
CacheDedup: In-line Deduplication for Flash Caching. FAST 2016: 301-314 - [c34]Dulcardo Arteaga, Jorge Cabrera, Jing Xu, Swaminathan Sundararaman, Ming Zhao:
CloudCache: On-demand Flash Cache Management for Cloud Computing. FAST 2016: 355-369 - [c33]Yiqi Xu, Ming Zhao:
IBIS: Interposed Big-data I/O Scheduler. HPDC 2016: 111-122 - 2015
- [c32]Saman Biookaghazadeh, Yiqi Xu, Shujia Zhou, Ming Zhao:
Enabling scientific data storage and processing on big-data systems. IEEE BigData 2015: 1978-1984 - [c31]Lixi Wang, Jing Xu, Hector A. Duran-Limon, Ming Zhao:
QoS-Driven Cloud Resource Management through Fuzzy Model Predictive Control. ICAC 2015: 81-90 - [c30]Sajib Kundu, Raju Rangaswami, Ming Zhao, Ajay Gulati, Kaushik Dutta:
Revenue Driven Resource Allocation for Virtualized Data Centers. ICAC 2015: 197-206 - 2014
- [j4]Yun Lu, Ming Zhao, Lixi Wang, Naphtali Rishe:
v-TerraFly: large scale distributed spatial data visualization with autonomic resource management. J. Big Data 1: 4 (2014) - [c29]Michel Angelo Roger, Yiqi Xu, Ming Zhao:
BigCache for big-data systems. IEEE BigData 2014: 189-194 - [c27]Dulcardo Arteaga, Ming Zhao:
Client-side Flash Caching for Cloud Systems. SYSTOR 2014: 7:1-7:11 - 2013
- [c26]Ricardo Koller, Leonardo Mármol, Raju Rangaswami, Swaminathan Sundararaman, Nisha Talagala, Ming Zhao:
Write policies for host-side flash caches. FAST 2013: 45-58 - [c25]Yiqi Xu, Ming Zhao:
Two-level Throughput and Latency IO Control for Parallel File Systems. Feedback Computing 2013 - [c24]Yiqi Xu, Adrian Suarez, Ming Zhao:
IBIS: interposed big-data I/O scheduler. HPDC 2013: 109-110 - [c23]Yun Lu, Ming Zhao, Guangqiang Zhao, Lixi Wang, Naphtali Rishe:
Massive GIS Database System with Autonomic Resource Management. ICMLA (2) 2013: 451-456 - [c22]Yonggang Liu, Renato J. O. Figueiredo, Yiqi Xu, Ming Zhao:
On the design and implementation of a simulator for parallel file system research. MSST 2013: 1-5 - 2012
- [c21]Lixi Wang, Jing Xu, Ming Zhao:
Application-aware cross-layer virtual machine resource management. ICAC 2012: 13-22 - [c20]Yiqi Xu, Dulcardo Arteaga, Ming Zhao, Yonggang Liu, Renato J. O. Figueiredo, Seetharami Seelam:
vPFS: Bandwidth virtualization of parallel storage systems. MSST 2012: 1-12 - [c19]Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zhao, Kaushik Dutta:
Modeling virtualized applications using machine learning techniques. VEE 2012: 3-14 - 2011
- [c18]Lixi Wang, Jing Xu, Ming Zhao, José A. B. Fortes:
Adaptive virtual resource management with fuzzy model predictive control. ICAC 2011: 191-192 - [c17]Lixi Wang, Jing Xu, Ming Zhao, Yicheng Tu, José A. B. Fortes:
Fuzzy Modeling Based Resource Management for Virtualized Database Systems. MASCOTS 2011: 32-42 - [c16]Dulcardo Arteaga, Ming Zhao:
Towards Scalable Application Checkpointing with Parallel File System Delegation. NAS 2011: 130-139 - [c15]Hector A. Duran-Limon, Luis A. Silva-Banuelos, Victor H. Tellez-Valdez, Nikos Parlavantzas, Ming Zhao:
Using Lightweight Virtual Machines to Run High Performance Computing Applications: The Case of the Weather Research and Forecasting Model. UCC 2011: 146-153 - 2010
- [c14]Sajib Kundu, Raju Rangaswami, Kaushik Dutta, Ming Zhao:
Application performance modeling in a virtualized environment. HPCA 2010: 1-10 - [c13]Jason Liu, Raju Rangaswami, Ming Zhao:
Model-driven network emulation with virtual time machine. WSC 2010: 688-696 - 2009
- [c12]Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi:
Experimental study of large-scale computing on virtualized resources. VTDC@ICAC 2009: 35-42 - [c11]Jing Xu, Ming Zhao, José A. B. Fortes:
Cooperative Autonomic Management in Dynamic Distributed Systems. SSS 2009: 756-770 - 2008
- [j3]Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif:
Autonomic resource management in virtualized data centers using fuzzy logic-based approaches. Clust. Comput. 11(3): 213-227 (2008) - 2007
- [c10]Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif:
On the Use of Fuzzy Modeling in Virtualized Data Center Management. ICAC 2007: 25 - [c9]Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes:
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. International Conference on Computational Science (1) 2007: 964-971 - [c8]Ming Zhao, Renato J. O. Figueiredo:
Experimental study of virtual machine migration in support of reservation of cluster resources. VTDC@SC 2007: 5:1-5:8 - [c7]Ming Zhao, Renato J. O. Figueiredo:
A user-level secure grid file system. SC 2007: 45 - 2006
- [j2]Ming Zhao, Jian Zhang, Renato J. O. Figueiredo:
Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing. Clust. Comput. 9(1): 45-56 (2006) - [c6]Ming Zhao, Jing Xu, Renato J. O. Figueiredo:
Towards Autonomic Grid Data Management with Virtualized Distributed File Systems. ICAC 2006: 209-218 - [c5]Ming Zhao, Renato J. O. Figueiredo:
Application-Tailored Cache Consistency for Wide-Area File Systems. ICDCS 2006: 41 - 2005
- [j1]Sumalatha Adabala, Vineet Chadha, Puneet Chawla, Renato J. O. Figueiredo, José A. B. Fortes, Ivan Krsul, Andréa M. Matsunaga, Maurício O. Tsugawa, Jian Zhang, Ming Zhao, Liping Zhu, Xiaomin Zhu:
From virtualized resources to virtual computing grids: the In-VIGO system. Future Gener. Comput. Syst. 21(6): 896-909 (2005) - [c4]Andréa M. Matsunaga, Maurício O. Tsugawa, Ming Zhao, Liping Zhu, Vivekananthan Sanjeepan, Sumalatha Adabala, Renato J. O. Figueiredo, Herman Lam, José A. B. Fortes:
On the Use of Virtualization and Service Technologies to Enable Grid-Computing. Euro-Par 2005: 1-12 - [c3]Ming Zhao, Vineet Chadha, Renato J. O. Figueiredo:
Supporting application-tailored grid file system sessions with WSRF-based services. HPDC 2005: 24-33 - 2004
- [c2]Jithendar Paladugula, Ming Zhao, Renato J. O. Figueiredo:
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of Light Scattering Spectroscopy. CLADE 2004: 12 - [c1]Ming Zhao, Jian Zhang, Renato J. O. Figueiredo:
Distributed File System Support for Virtual Machines in Grid Computing. HPDC 2004: 202-211
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