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Mian Lu
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2020 – today
- 2024
- [j14]Xianzhi Zeng
, Shuhao Zhang
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation. Proc. ACM Manag. Data 2(1): V2mod013:1-V2mod013:24 (2024) - [j13]Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu:
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. 17(6): 1283-1296 (2024) - 2023
- [j12]Hao Zhang, Jun Yang, Cheng Chen, Siqi Wang, Jiashu Li, Mian Lu:
Principles and Practices of Real-Time Feature Computing Platforms for ML. Commun. ACM 66(7): 77-78 (2023) - [j11]Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen:
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. Proc. VLDB Endow. 16(12): 3597-3609 (2023) - [c18]Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff:
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE 2023: 2976-2987 - [c17]Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng:
Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. ICDE 2023: 3031-3042 - [i4]Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu:
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR abs/2308.15059 (2023) - 2022
- [c16]Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He:
A System for Time Series Feature Extraction in Federated Learning. CIKM 2022: 5024-5028 - [i3]Huilin Wu, Mian Lu, Zhao Zheng, Shuhao Zhang:
A Framework for Fast Polarity Labelling of Massive Data Streams. CoRR abs/2203.12368 (2022) - 2021
- [j10]Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. 14(5): 799-812 (2021)
2010 – 2019
- 2018
- [j9]Xuntao Cheng, Bingsheng He
Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. J. Parallel Distributed Comput. 120: 395-404 (2018) - [j8]Xinfeng Xie
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. ACM Trans. Embed. Comput. Syst. 17(2): 37:1-37:25 (2018) - 2017
- [j7]Yun Liang
Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(12): 2106-2119 (2017) - 2016
- [c15]Xuntao Cheng, Bingsheng He
Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. SIGMOD Conference 2016: 2081-2084 - 2015
- [j6]Saurabh Jha
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. Proc. VLDB Endow. 8(6): 642-653 (2015) - [j5]Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Trans. Parallel Distributed Syst. 26(11): 3066-3078 (2015) - [c14]Qing Jiao, Mian Lu, Huynh Phung Huynh, Tulika Mitra
Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS. CGO 2015: 1-11 - [c13]Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh:
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. CGO 2015: 136-145 - 2013
- [j4]Jiong He, Mian Lu, Bingsheng He
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. Proc. VLDB Endow. 6(10): 889-900 (2013) - [j3]Shuhao Zhang
OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures. Proc. VLDB Endow. 6(12): 1374-1377 (2013) - [c12]Mian Lu, Qiong Luo
GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly. APWeb 2013: 51-62 - [c11]Mian Lu, Ge Bai, Qiong Luo
Accelerating Topic Model Training on a Single Machine. APWeb 2013: 184-195 - [c10]Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He
Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. IEEE BigData 2013: 125-130 - [c9]GuiXin Guo, Shuang Qiu, Zhiqiang Ye, Bingqiang Wang, Lin Fang, Mian Lu, Simon See, Rui Mao:
GPU-accelerated adaptive compression framework for genomics data. IEEE BigData 2013: 181-186 - [i2]Jiong He, Mian Lu, Bingsheng He:
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. CoRR abs/1307.1955 (2013) - [i1]Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh:
Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. CoRR abs/1309.0215 (2013) - 2012
- [j2]Mian Lu, Yuwei Tan, Ge Bai, Qiong Luo
High-performance short sequence alignment with GPU acceleration. Distributed Parallel Databases 30(5-6): 385-399 (2012) - [c8]Mian Lu, Jiuxin Zhao, Qiong Luo
Accelerating minor allele frequency computation with graphics processors. BigMine 2012: 85-92 - [c7]Mian Lu, Yuwei Tan, Jiuxin Zhao, Ge Bai, Qiong Luo
Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis. SSDBM 2012: 124-140 - 2011
- [c6]Mian Lu, Jiuxin Zhao, Qiong Luo
GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration. ICPP 2011: 592-601 - 2010
- [c5]Mian Lu, Bingsheng He
Supporting extended precision on graphics processors. DaMoN 2010: 19-26
2000 – 2009
- 2009
- [j1]Bingsheng He
Relational query coprocessing on graphics processors. ACM Trans. Database Syst. 34(4): 21:1-21:39 (2009) - [c4]Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He
Frequent itemset mining on graphics processors. DaMoN 2009: 34-42 - 2008
- [c3]Bingsheng He
Relational joins on graphics processors. SIGMOD Conference 2008: 511-524 - 2007
- [c2]Ke Yang, Bingsheng He
In-memory grid files on graphics processors. DaMoN 2007: 5 - [c1]Rui Fang, Bingsheng He
GPUQP: query co-processing using graphics processors. SIGMOD Conference 2007: 1061-1063
Coauthor Index
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