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Zhibin Yu 0001
Person information
- affiliation: Chinese Academy of Science, Shenzhen Institute of Advanced Technology, Cloud Computing Center, China
- affiliation (PhD 2008): Huazhong University of Science and Technology, China
Other persons with the same name
- Zhibin Yu — disambiguation page
- Zhibin Yu 0002 — Ocean University of China, Department of Electronic Engineering, College of Information Science and Engineering, Qingdao, China (and 1 more)
- Zhibin Yu 0003 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
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2020 – today
- 2024
- [j25]Chao Chen, Jinhan Xin, Zhibin Yu:
TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics. IEEE Trans. Computers 73(5): 1233-1247 (2024) - [c43]Hongliang Qu, Zhibin Yu:
WASP: Workload-Aware Self-Replicating Page-Tables for NUMA Servers. ASPLOS (2) 2024: 1233-1249 - [c42]Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu:
Guser: A GPGPU Power Stressmark Generator. HPCA 2024: 1111-1124 - [c41]Jianguo Liu, Zhibin Yu:
Global-State Aware Automatic NUMA Balancing. Internetware 2024 - 2023
- [j24]Yuzhao Wang, Junqing Yu, Zhibin Yu:
Resource scheduling techniques in cloud from a view of coordination: a holistic survey. Frontiers Inf. Technol. Electron. Eng. 24(1): 1-40 (2023) - [c40]Jiuyi Chen, Ling Chen, Zhibin Yu:
Accelerating path tracing rendering with Multi-GPU in Blender cycles. ICACT 2023: 314-318 - [c39]Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo:
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. ICS 2023: 75-86 - 2022
- [j23]Le-Le Li, Jiang-Yi Liu, Jianping Fan, Xuehai Qian, Kai Hwang, Yeh-Ching Chung, Zhibin Yu:
SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move. J. Comput. Sci. Technol. 37(6): 1271-1289 (2022) - [j22]Zhendong Bei, Nam Sung Kim, Kai Hwang, Zhibin Yu:
OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS. IEEE Trans. Computers 71(4): 809-823 (2022) - [c38]Jinhan Xin, Kai Hwang, Zhibin Yu:
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications. SIGMOD Conference 2022: 674-684 - [i1]Jinhan Xin, Kai Hwang, Zhibin Yu:
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications [Extended Version]. CoRR abs/2203.14889 (2022) - 2021
- [j21]Yang Zhang, Zhibin Yu, Liang Gu, Chengning Wang, Dan Feng:
EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture. IEEE Access 9: 167173-167189 (2021) - [j20]Rui Zhang, Mingcong Song, Tao Li, Zhibin Yu, Yuting Dai, Xiaoguang Liu, Gang Wang:
Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning. J. Syst. Archit. 118: 102205 (2021) - [j19]Yijin Guo, Huasong Shan, Shixin Huang, Kai Hwang, Jianping Fan, Zhibin Yu:
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning. IEEE Trans. Parallel Distributed Syst. 32(12): 2921-2935 (2021) - [c37]Yuzhao Wang, Hongliang Qu, Junqing Yu, Zhibin Yu:
Para: Harvesting CPU time fragments in Big Data Analytics. CLOUD 2021: 625-636 - [c36]Wenxuan Chen, Zheng Wang, Ming Lei, Bo Dong, Zhuo Wang, Yongkui Yang, Chao Chen, Weiyu Guo, Chen Liang, Qian Zhang, Wenqi Fang, Zhibin Yu:
Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference. AICAS 2021: 1-4 - [c35]Bo Dong, Zheng Wang, Wenxuan Chen, Chao Chen, Yongkui Yang, Zhibin Yu:
OR-ML: Enhancing Reliability for Machine Learning Accelerator with Opportunistic Redundancy. DATE 2021: 739-742 - [c34]Zheng Wang, Zhuo Wang, Jian Liao, Chao Chen, Yongkui Yang, Bo Dong, Weiguang Chen, Wenxuan Chen, Ming Lei, Weiyu Guo, Rui Chen, Yi Peng, Zhibin Yu:
CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering. ACM Great Lakes Symposium on VLSI 2021: 115-121 - [c33]Chenghao Ouyang, Qiannan Wang, Zhibin Yu:
QIHE: Quantifying the Importance of Hardware Events with Respect to Performance of Mobile Processors. ICBDC 2021: 186-191 - [c32]Yuzhao Wang, Junqing Yu, Zhibin Yu:
Treator: a Fast Centralized Cluster Scheduling at Scale Based on B+ Tree and BSP. ISPA/BDCloud/SocialCom/SustainCom 2021: 324-335 - 2020
- [j18]Kui Su, Peiyu Liu, Liang Gu, Wenzhi Chen, Kai Hwang, Zhibin Yu:
vMobiDesk: Desktop Virtualization for Mobile Operating Systems. IEEE Access 8: 213541-213553 (2020) - [j17]Yan Yin, Junmin Wu, Xu Zhou, Lieven Eeckhout, Amer Qouneh, Tao Li, Zhibin Yu:
COPA: Highly Cost-Effective Power Back-Up for Green Datacenters. IEEE Trans. Parallel Distributed Syst. 31(4): 967-980 (2020) - [j16]Lan Gao, Yunlong Xu, Rui Wang, Zhongzhi Luan, Zhibin Yu, Depei Qian:
Thread-Level Locking for SIMT Architectures. IEEE Trans. Parallel Distributed Syst. 31(5): 1121-1136 (2020) - [c31]Zhenyan Lu, Chao Chen, Jinhan Xin, Zhibin Yu:
On the Auto-Tuning of Elastic-search based on Machine Learning. CCRIS 2020: 150-156 - [c30]Liang Zhu, Chao Chen, Zihao Su, Weiguang Chen, Tao Li, Zhibin Yu:
BBS: Micro-Architecture Benchmarking Blockchain Systems through Machine Learning and Fuzzy Set. HPCA 2020: 411-423 - [c29]Zhuo Wang, Zheng Wang, Bo Dong, Chao Chen, Yongkui Yang, Zhibin Yu:
Accelerating Atrous Convolution with Fetch-and-Jump Architecture for Activation Positioning. ICTA 2020: 151-152
2010 – 2019
- 2019
- [j15]Xu Zhou, Zhibin Yu:
Green-Up: under-provisioning power backup infrastructure for green datacenters. CCF Trans. High Perform. Comput. 1(3-4): 209-223 (2019) - [j14]Qixiao Liu, Zhifeng Chen, Zhibin Yu:
MiC: Multi-level Characterization and Optimization of GPGPU Kernels. ACM J. Emerg. Technol. Comput. Syst. 15(3): 25:1-25:24 (2019) - [c28]Lele Li, Zhibin Yu:
SMHC: A Synthetic Metric for Heterogeneous Resources in Cloud Computing. ICBDC 2019: 97-101 - [c27]Lingfeng Lin, Dengji Gao, Zhibin Yu:
SLFAG: Scan Line Fill Algorithm for PCB Image Rasterization Based on GPGPU. ICBDC 2019: 308-312 - [c26]Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout:
Adaptive memory-side last-level GPU caching. ISCA 2019: 411-423 - [c25]Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian:
TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. ISCA 2019: 499-512 - [c24]Weiguang Chen, Zheng Wang, Shanliao Li, Zhibin Yu, Huijuan Li:
Accelerating Compact Convolutional Neural Networks with Multi-threaded Data Streaming. ISVLSI 2019: 519-522 - 2018
- [j13]Zhendong Bei, Zhibin Yu, Ni Luo, Chuntao Jiang, Chengzhong Xu, Shengzhong Feng:
Configuring in-memory cluster computing using random forest. Future Gener. Comput. Syst. 79: 1-15 (2018) - [j12]Zhibin Yu, Jing Wang, Lieven Eeckhout, Chengzhong Xu:
QIG: Quantifying the Importance and Interaction of GPGPU Architecture Parameters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1211-1224 (2018) - [j11]Zhibin Yu, Wen Xiong, Lieven Eeckhout, Zhendong Bei, Avi Mendelson, Chengzhong Xu:
MIA: Metric Importance Analysis for Big Data Workload Characterization. IEEE Trans. Parallel Distributed Syst. 29(6): 1371-1384 (2018) - [c23]Zhibin Yu, Zhendong Bei, Xuehai Qian:
Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. ASPLOS 2018: 564-577 - [c22]Qixiao Liu, Zhibin Yu:
The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace. SoCC 2018: 347-360 - [c21]Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian:
CounterMiner: Mining Big Performance Data from Hardware Counters. MICRO 2018: 613-626 - 2017
- [j10]Zhendong Bei, Zhibin Yu, Qixiao Liu, Cheng-Zhong Xu, Shengzhong Feng, Shuang Song:
MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning. IEEE Access 5: 3580-3593 (2017) - [j9]Wen Xiong, Zhengdong Bei, Chengzhong Xu, Zhibin Yu:
ATH: Auto-Tuning HBase's Configuration via Ensemble Learning. IEEE Access 5: 13157-13170 (2017) - [c20]Yuxi Liu, Xia Zhao, Zhibin Yu, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout:
POSTER: BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads. PACT 2017: 140-141 - [c19]Yuzhao Wang, Qixiao Liu, Junqing Yu, Zhibin Yu:
An Experimental Comparison Between Genetic Algorithm and Particle Swarm Optimization in Spark Performance Tuning. ETCD@ASPLOS 2017: 1:1-1:6 - [c18]Yuxi Liu, Xia Zhao, Zhibin Yu, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout:
BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads. ICCD 2017: 633-640 - 2016
- [j8]Chuntao Jiang, Zhibin Yu, Lieven Eeckhout, Hai Jin, Xiaofei Liao, Cheng-Zhong Xu:
Two-Level Hybrid Sampled Simulation of Multithreaded Applications. ACM Trans. Archit. Code Optim. 12(4): 39:1-39:25 (2016) - [j7]Wen Xiong, Zhibin Yu, Lieven Eeckhout, Zhengdong Bei, Fan Zhang, Cheng-Zhong Xu:
ShenZhen transportation system (SZTS): a novel big data benchmark suite. J. Supercomput. 72(11): 4337-4364 (2016) - [j6]Zhendong Bei, Zhibin Yu, Huiling Zhang, Wen Xiong, Cheng-Zhong Xu, Lieven Eeckhout, Shengzhong Feng:
RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration. IEEE Trans. Parallel Distributed Syst. 27(5): 1470-1483 (2016) - [c17]Ni Luo, Zhibin Yu, Zhendong Bei, Chengzhong Xu, Chuntao Jiang, Lingfeng Lin:
Performance Modeling for Spark Using SVM. CCBD 2016: 127-131 - [c16]Zhibin Yu, Lieven Eeckhout, Cheng-Zhong Xu:
Thread Similarity Matrix: Visualizing Branch Divergence in GPGPU Programs. ICPP 2016: 179-184 - [c15]Yuxi Liu, Zhibin Yu, Lieven Eeckhout, Vijay Janapa Reddi, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Cheng-Zhong Xu:
Barrier-Aware Warp Scheduling for Throughput Processors. ICS 2016: 42:1-42:12 - [c14]Dan Jia, Rui Wang, Cheng-Zhong Xu, Zhibin Yu:
QIM: Quantifying Hyperparameter Importance for Deep Learning. NPC 2016: 180-188 - 2015
- [j5]Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami, Tao Li, Lizy K. John, Hai Jin, Cheng-Zhong Xu, Junmin Wu:
GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation. IEEE Trans. Computers 64(11): 3153-3166 (2015) - [c13]Chuntao Jiang, Zhibin Yu, Hai Jin, Xiaofei Liao, Lieven Eeckhout, Yonggang Zeng, Cheng-Zhong Xu:
Shorter On-Line Warmup for Sampled Simulation of Multi-threaded Applications. ICPP 2015: 350-359 - [c12]Wen Xiong, Zhibin Yu, Lieven Eeckhout, Zhengdong Bei, Fan Zhang, Cheng-Zhong Xu:
SZTS: A Novel Big Data Transportation System Benchmark Suite. ICPP 2015: 819-828 - 2014
- [j4]Aftab Ahmed Chandio, Kashif Bilal, Nikos Tziritas, Zhibin Yu, Qingshan Jiang, Samee Ullah Khan, Cheng-Zhong Xu:
A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems. Clust. Comput. 17(4): 1349-1367 (2014) - 2013
- [j3]Chuntao Jiang, Zhibin Yu, Hai Jin, Cheng-Zhong Xu, Lieven Eeckhout, Wim Heirman, Trevor E. Carlson, Xiaofei Liao:
PCantorSim: Accelerating parallel architecture simulation through fractal-based sampling. ACM Trans. Archit. Code Optim. 10(4): 49:1-49:24 (2013) - [c11]Wen Xiong, Zhibin Yu, Zhendong Bei, Juanjuan Zhao, Fan Zhang, Yubin Zou, Xue Bai, Ye Li, Cheng-Zhong Xu:
A characterization of big data benchmarks. IEEE BigData 2013: 118-125 - [c10]Nikos Tziritas, Cheng-Zhong Xu, Thanasis Loukopoulos, Samee Ullah Khan, Zhibin Yu:
Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments. ICPP 2013: 449-457 - [c9]Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami, Tao Li, Lizy Kurian John, Hai Jin, Cheng-Zhong Xu:
Accelerating GPGPU architecture simulation. SIGMETRICS 2013: 331-332 - 2012
- [c8]Lulu He, Zhibin Yu, Hai Jin:
FractalMRC: Online Cache Miss Rate Curve Prediction on Commodity Systems. IPDPS 2012: 1341-1351 - 2011
- [j2]Xuping Tu, Hai Jin, Zhibin Yu, Jie Chen, Yabin Hu, Xia Xie:
MT-BTRIMER: A master-slave multi-threaded dynamic binary translator. Comput. Syst. Sci. Eng. 26(5) (2011) - [c7]Zhibin Yu, Hai Jin, Nilanjan Goswami, Tao Li, Lizy K. John:
Hierarchically characterizing CUDA program behavior. IISWC 2011: 76 - 2010
- [c6]Karthik Ganesan, Jungho Jo, William Lloyd Bircher, Dimitris Kaseridis, Zhibin Yu, Lizy K. John:
System-level max power (SYMPO): a systematic approach for escalating system-level power consumption using synthetic benchmarks. PACT 2010: 19-28 - [c5]Xuping Tu, Hai Jin, Zhibin Yu, Jie Chen, Yabin Hu:
MT-BTRIMER: A Master-Slave Multi-threaded Dynamic Binary Translator. FCST 2010: 51-56 - [c4]Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John:
CantorSim: Simplifying Acceleration of Micro-architecture Simulations. MASCOTS 2010: 370-377
2000 – 2009
- 2009
- [j1]Zhibin Yu, Hai Jin:
Simple and fast micro-architecture simulation: a trisection cantor fractal approach. SIGMETRICS Perform. Evaluation Rev. 37(2): 61-62 (2009) - [c3]Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John:
TSS: Applying two-stage sampling in micro-architecture simulations. MASCOTS 2009: 1-9 - 2008
- [c2]Zhibin Yu, Hai Jin, Jie Chen:
An Evaluation of Two-Stage Systematic Sampling in Micro-Architecture Simulation. ChinaGrid 2008: 317-324 - [c1]Zhibin Yu, Hai Jin:
Identifying Classes via Cognitive Approach in Object-Oriented System. PACIIA (2) 2008: 517-521
Coauthor Index
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