Zhibin Yu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Ensemble Learning

Similarity Matrix

Resource Utilization

Top Venues

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Computers

Publications

Chao Chen, Jinhan Xin, Zhibin Yu
TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics. IEEE Trans. Computers 73 (5) (2024)
Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu
Guser: A GPGPU Power Stressmark Generator. HPCA (2024)
Hongliang Qu, Zhibin Yu
WASP: Workload-Aware Self-Replicating Page-Tables for NUMA Servers. ASPLOS (2) (2024)
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) (2023)
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)
Jinhan Xin, Kai Hwang, Zhibin Yu
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications. SIGMOD Conference (2022)
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) (2022)
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) (2022)
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) (2021)
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)
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 (2021)
Yuzhao Wang, Hongliang Qu, Junqing Yu, Zhibin Yu
Para: Harvesting CPU time fragments in Big Data Analytics. CLOUD (2021)
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 (2021)
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) (2020)
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) (2020)
Kui Su, Peiyu Liu, Liang Gu, Wenzhi Chen, Kai Hwang, Zhibin Yu
vMobiDesk: Desktop Virtualization for Mobile Operating Systems. IEEE Access 8 (2020)
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)
Qixiao Liu, Zhifeng Chen, Zhibin Yu
MiC: Multi-level Characterization and Optimization of GPGPU Kernels. ACM J. Emerg. Technol. Comput. Syst. 15 (3) (2019)
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)
Lingfeng Lin, Dengji Gao, Zhibin Yu
SLFAG: Scan Line Fill Algorithm for PCB Image Rasterization Based on GPGPU. ICBDC (2019)
Lele Li, Zhibin Yu
SMHC: A Synthetic Metric for Heterogeneous Resources in Cloud Computing. ICBDC (2019)
Xu Zhou, Zhibin Yu
Green-Up: under-provisioning power backup infrastructure for green datacenters. CCF Trans. High Perform. Comput. 1 (3-4) (2019)
Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout
Adaptive memory-side last-level GPU caching. ISCA (2019)
Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian
CounterMiner: Mining Big Performance Data from Hardware Counters. MICRO (2018)
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) (2018)
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 (2018)
Qixiao Liu, Zhibin Yu
The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace. SoCC (2018)
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) (2018)
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)
Wen Xiong, Zhengdong Bei, Chengzhong Xu, Zhibin Yu
ATH: Auto-Tuning HBase's Configuration via Ensemble Learning. IEEE Access 5 (2017)
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)
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)
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 (2017)
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) (2016)
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) (2016)
Dan Jia, Rui Wang, Cheng-Zhong Xu, Zhibin Yu
QIM: Quantifying Hyperparameter Importance for Deep Learning. NPC (2016)
Ni Luo, Zhibin Yu, Zhendong Bei, Chengzhong Xu, Chuntao Jiang, Lingfeng Lin
Performance Modeling for Spark Using SVM. CCBD (2016)
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) (2016)
Zhibin Yu, Lieven Eeckhout, Cheng-Zhong Xu
Thread Similarity Matrix: Visualizing Branch Divergence in GPGPU Programs. ICPP (2016)
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)
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) (2015)
Wen Xiong, Zhibin Yu, Lieven Eeckhout, Zhengdong Bei, Fan Zhang, Cheng-Zhong Xu
SZTS: A Novel Big Data Transportation System Benchmark Suite. ICPP (2015)
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)
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) (2014)
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) (2013)
Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami, Tao Li, Lizy Kurian John, Hai Jin, Cheng-Zhong Xu
Accelerating GPGPU architecture simulation. SIGMETRICS (2013)
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)
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)
Lulu He, Zhibin Yu, Hai Jin
FractalMRC: Online Cache Miss Rate Curve Prediction on Commodity Systems. IPDPS (2012)
Zhibin Yu, Hai Jin, Nilanjan Goswami, Tao Li, Lizy K. John
Hierarchically characterizing CUDA program behavior. IISWC (2011)
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)
Xuping Tu, Hai Jin, Zhibin Yu, Jie Chen, Yabin Hu
MT-BTRIMER: A Master-Slave Multi-threaded Dynamic Binary Translator. FCST (2010)
Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John
CantorSim: Simplifying Acceleration of Micro-architecture Simulations. MASCOTS (2010)
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)
Zhibin Yu, Hai Jin
Simple and fast micro-architecture simulation: a trisection cantor fractal approach. SIGMETRICS Perform. Evaluation Rev. 37 (2) (2009)
Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John
TSS: Applying two-stage sampling in micro-architecture simulations. MASCOTS (2009)
Zhibin Yu, Hai Jin, Jie Chen
An Evaluation of Two-Stage Systematic Sampling in Micro-Architecture Simulation. ChinaGrid (2008)
Zhibin Yu, Hai Jin
Identifying Classes via Cognitive Approach in Object-Oriented System. PACIIA (2) (2008)