Zhibin Yu

76 papers A* 8A 4B 9C 2Journal 31Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
S-HPLB: Efficient LLM Attention Serving via Sparsity-Aware Head Parallelism Load Balance.
CoRR
Di Liu, Yifei Liu, Chen Chen, Zhibin Yu, Xiaoyi Fan, Quan Chen, Minyi Guo
2025 A* conf
AMALI: An Analytical Model for Accurately Modeling LLM Inference on Modern GPUs.
ISCA
Shiheng Cao, Junmin Wu, Junshi Chen, Hong An, Zhibin Yu
2025 J jnl
Constructing a Supplementary Benchmark Suite to Represent Android Applications with User Interactions by using Performance Counters.
ACM Trans. Archit. Code Optim.
Chenghao Ouyang, Jinhan Xin, Siqi Zeng, Guohui Li, Jianjun Li, Zhibin Yu
2025 J jnl
Harli: SLO-Aware Co-location of LLM Inference and PEFT-based Finetuning on Model-as-a-Service Platforms.
CoRR
Ao Xu, Han Zhao, Weihao Cui, Quan Chen, Yukang Chen, Shulai Zhang, Shuang Chen, Jiemin Jiang, Zhibin Yu, Minyi Guo
2025 — conf
Swift: Fast Performance Tuning with GAN-Generated Configurations.
USENIX ATC
Chao Chen, Shixin Huang, Xuehai Qian, Zhibin Yu
2024 J jnl
Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof.
IEEE Trans. Computers
Yongkui Yang, Zhenyan Lu, Jingwei Zeng, Xingguo Liu, Xuehai Qian, Zhibin Yu
2024 — conf
Global-State Aware Automatic NUMA Balancing.
Internetware
Jianguo Liu, Zhibin Yu
2024 A* conf
Guser: A GPGPU Power Stressmark Generator.
HPCA
Yalong Shan, Yongkui Yang, Xuehai Qian, Zhibin Yu
2024 J jnl
Satisfying Energy-Efficiency Constraints for Mobile Systems.
IEEE Trans. Mob. Comput.
Xueliang Li, Shicong Hong, Junyang Chen, Junkai Ji, Chengwen Luo, Guihai Yan, Zhibin Yu, Jianqiang Li
2024 J jnl
TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics.
IEEE Trans. Computers
Chao Chen, Jinhan Xin, Zhibin Yu
2024 — conf
WASP: Workload-Aware Self-Replicating Page-Tables for NUMA Servers.
ASPLOS (2)
Hongliang Qu, Zhibin Yu
2023 — conf
Accelerating path tracing rendering with Multi-GPU in Blender cycles.
ICACT
Jiuyi Chen, Ling Chen, Zhibin Yu
2023 A conf
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization.
ICS
Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo
2023 J jnl
Resource scheduling techniques in cloud from a view of coordination: a holistic survey.
Frontiers Inf. Technol. Electron. Eng.
Yuzhao Wang, Junqing Yu, Zhibin Yu
2022 J jnl
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications [Extended Version].
CoRR
Jinhan Xin, Kai Hwang, Zhibin Yu
2022 — conf
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications.
SIGMOD Conference
Jinhan Xin, Kai Hwang, Zhibin Yu
2022 J jnl
OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS.
IEEE Trans. Computers
Zhendong Bei, Nam Sung Kim, Kai Hwang, Zhibin Yu
2022 J jnl
SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move.
J. Comput. Sci. Technol.
Le-Le Li, Jiang-Yi Liu, Jianping Fan, Xuehai Qian, Kai Hwang, Yeh-Ching Chung, Zhibin Yu
2021 — conf
CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering.
ACM Great Lakes Symposium on VLSI
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
2021 J jnl
Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning.
J. Syst. Archit.
Rui Zhang, Mingcong Song, Tao Li, Zhibin Yu, Yuting Dai, Xiaoguang Liu, Gang Wang
2021 J jnl
EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture.
IEEE Access
Yang Zhang, Zhibin Yu, Liang Gu, Chengning Wang, Dan Feng
2021 J jnl
GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning.
IEEE Trans. Parallel Distributed Syst.
Yijin Guo, Huasong Shan, Shixin Huang, Kai Hwang, Jianping Fan, Zhibin Yu
2021 — conf
Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference.
AICAS
Wenxuan Chen, Zheng Wang, Ming Lei, Bo Dong, Zhuo Wang, Yongkui Yang, Chao Chen, Weiyu Guo, Chen Liang, Qian Zhang, Wenqi Fang, Zhibin Yu
2021 A conf
OR-ML: Enhancing Reliability for Machine Learning Accelerator with Opportunistic Redundancy.
DATE
Bo Dong, Zheng Wang, Wenxuan Chen, Chao Chen, Yongkui Yang, Zhibin Yu
2021 B conf
Para: Harvesting CPU time fragments in Big Data Analytics.
CLOUD
Yuzhao Wang, Hongliang Qu, Junqing Yu, Zhibin Yu
2021 — conf
QIHE: Quantifying the Importance of Hardware Events with Respect to Performance of Mobile Processors.
ICBDC
Chenghao Ouyang, Qiannan Wang, Zhibin Yu
2021 — conf
Treator: a Fast Centralized Cluster Scheduling at Scale Based on B+ Tree and BSP.
ISPA/BDCloud/SocialCom/SustainCom
Yuzhao Wang, Junqing Yu, Zhibin Yu
2020 — conf
Accelerating Atrous Convolution with Fetch-and-Jump Architecture for Activation Positioning.
ICTA
Zhuo Wang, Zheng Wang, Bo Dong, Chao Chen, Yongkui Yang, Zhibin Yu
2020 A* conf
BBS: Micro-Architecture Benchmarking Blockchain Systems through Machine Learning and Fuzzy Set.
HPCA
Liang Zhu, Chao Chen, Zihao Su, Weiguang Chen, Tao Li, Zhibin Yu
2020 J jnl
COPA: Highly Cost-Effective Power Back-Up for Green Datacenters.
IEEE Trans. Parallel Distributed Syst.
Yan Yin, Junmin Wu, Xu Zhou, Lieven Eeckhout, Amer Qouneh, Tao Li, Zhibin Yu
2020 — conf
On the Auto-Tuning of Elastic-search based on Machine Learning.
CCRIS
Zhenyan Lu, Chao Chen, Jinhan Xin, Zhibin Yu
2020 J jnl
Thread-Level Locking for SIMT Architectures.
IEEE Trans. Parallel Distributed Syst.
Lan Gao, Yunlong Xu, Rui Wang, Zhongzhi Luan, Zhibin Yu, Depei Qian
2020 J jnl
vMobiDesk: Desktop Virtualization for Mobile Operating Systems.
IEEE Access
Kui Su, Peiyu Liu, Liang Gu, Wenzhi Chen, Kai Hwang, Zhibin Yu
2019 — conf
Accelerating Compact Convolutional Neural Networks with Multi-threaded Data Streaming.
ISVLSI
Weiguang Chen, Zheng Wang, Shanliao Li, Zhibin Yu, Huijuan Li
2019 A* conf
Adaptive memory-side last-level GPU caching.
ISCA
Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout
2019 J jnl
Green-Up: under-provisioning power backup infrastructure for green datacenters.
CCF Trans. High Perform. Comput.
Xu Zhou, Zhibin Yu
2019 J jnl
MiC: Multi-level Characterization and Optimization of GPGPU Kernels.
ACM J. Emerg. Technol. Comput. Syst.
Qixiao Liu, Zhifeng Chen, Zhibin Yu
2019 — conf
SLFAG: Scan Line Fill Algorithm for PCB Image Rasterization Based on GPGPU.
ICBDC
Lingfeng Lin, Dengji Gao, Zhibin Yu
2019 — conf
SMHC: A Synthetic Metric for Heterogeneous Resources in Cloud Computing.
ICBDC
Lele Li, Zhibin Yu
2019 A* conf
TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels.
ISCA
Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian
2018 J jnl
Configuring in-memory cluster computing using random forest.
Future Gener. Comput. Syst.
Zhendong Bei, Zhibin Yu, Ni Luo, Chuntao Jiang, Chengzhong Xu, Shengzhong Feng
2018 A* conf
CounterMiner: Mining Big Performance Data from Hardware Counters.
MICRO
Yirong Lv, Bin Sun, Qingyi Luo, Jing Wang, Zhibin Yu, Xuehai Qian
2018 A* conf
Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing.
ASPLOS
Zhibin Yu, Zhendong Bei, Xuehai Qian
2018 J jnl
MIA: Metric Importance Analysis for Big Data Workload Characterization.
IEEE Trans. Parallel Distributed Syst.
Zhibin Yu, Wen Xiong, Lieven Eeckhout, Zhendong Bei, Avi Mendelson, Chengzhong Xu
2018 J jnl
QIG: Quantifying the Importance and Interaction of GPGPU Architecture Parameters.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhibin Yu, Jing Wang, Lieven Eeckhout, Chengzhong Xu
2018 — conf
The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace.
SoCC
Qixiao Liu, Zhibin Yu
2017 J jnl
ATH: Auto-Tuning HBase's Configuration via Ensemble Learning.
IEEE Access
Wen Xiong, Zhengdong Bei, Chengzhong Xu, Zhibin Yu
2017 — conf
An Experimental Comparison Between Genetic Algorithm and Particle Swarm Optimization in Spark Performance Tuning.
ETCD@ASPLOS
Yuzhao Wang, Qixiao Liu, Junqing Yu, Zhibin Yu
2017 C conf
BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads.
ICCD
Yuxi Liu, Xia Zhao, Zhibin Yu, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout
2017 J jnl
MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning.
IEEE Access
Zhendong Bei, Zhibin Yu, Qixiao Liu, Cheng-Zhong Xu, Shengzhong Feng, Shuang Song
2017 B conf
POSTER: BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads.
PACT
Yuxi Liu, Xia Zhao, Zhibin Yu, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout
2016 A conf
Barrier-Aware Warp Scheduling for Throughput Processors.
ICS
Yuxi Liu, Zhibin Yu, Lieven Eeckhout, Vijay Janapa Reddi, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Cheng-Zhong Xu
2016 — conf
Performance Modeling for Spark Using SVM.
CCBD
Ni Luo, Zhibin Yu, Zhendong Bei, Chengzhong Xu, Chuntao Jiang, Lingfeng Lin
2016 C conf
QIM: Quantifying Hyperparameter Importance for Deep Learning.
NPC
Dan Jia, Rui Wang, Cheng-Zhong Xu, Zhibin Yu
2016 J jnl
RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration.
IEEE Trans. Parallel Distributed Syst.
Zhendong Bei, Zhibin Yu, Huiling Zhang, Wen Xiong, Cheng-Zhong Xu, Lieven Eeckhout, Shengzhong Feng
2016 J jnl
ShenZhen transportation system (SZTS): a novel big data benchmark suite.
J. Supercomput.
Wen Xiong, Zhibin Yu, Lieven Eeckhout, Zhengdong Bei, Fan Zhang, Cheng-Zhong Xu
2016 B conf
Thread Similarity Matrix: Visualizing Branch Divergence in GPGPU Programs.
ICPP
Zhibin Yu, Lieven Eeckhout, Cheng-Zhong Xu
2016 J jnl
Two-Level Hybrid Sampled Simulation of Multithreaded Applications.
ACM Trans. Archit. Code Optim.
Chuntao Jiang, Zhibin Yu, Lieven Eeckhout, Hai Jin, Xiaofei Liao, Cheng-Zhong Xu
2015 J jnl
GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation.
IEEE Trans. Computers
Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami, Tao Li, Lizy K. John, Hai Jin, Cheng-Zhong Xu, Junmin Wu
2015 B conf
SZTS: A Novel Big Data Transportation System Benchmark Suite.
ICPP
Wen Xiong, Zhibin Yu, Lieven Eeckhout, Zhengdong Bei, Fan Zhang, Cheng-Zhong Xu
2015 B conf
Shorter On-Line Warmup for Sampled Simulation of Multi-threaded Applications.
ICPP
Chuntao Jiang, Zhibin Yu, Hai Jin, Xiaofei Liao, Lieven Eeckhout, Yonggang Zeng, Cheng-Zhong Xu
2014 J jnl
A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems.
Clust. Comput.
Aftab Ahmed Chandio, Kashif Bilal, Nikos Tziritas, Zhibin Yu, Qingshan Jiang, Samee Ullah Khan, Cheng-Zhong Xu
2013 — conf
A characterization of big data benchmarks.
IEEE BigData
Wen Xiong, Zhibin Yu, Zhendong Bei, Juanjuan Zhao, Fan Zhang, Yubin Zou, Xue Bai, Ye Li, Cheng-Zhong Xu
2013 A* conf
Accelerating GPGPU architecture simulation.
SIGMETRICS
Zhibin Yu, Lieven Eeckhout, Nilanjan Goswami, Tao Li, Lizy Kurian John, Hai Jin, Cheng-Zhong Xu
2013 B conf
Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments.
ICPP
Nikos Tziritas, Cheng-Zhong Xu, Thanasis Loukopoulos, Samee Ullah Khan, Zhibin Yu
2013 J jnl
PCantorSim: Accelerating parallel architecture simulation through fractal-based sampling.
ACM Trans. Archit. Code Optim.
Chuntao Jiang, Zhibin Yu, Hai Jin, Cheng-Zhong Xu, Lieven Eeckhout, Wim Heirman, Trevor E. Carlson, Xiaofei Liao
2012 A conf
FractalMRC: Online Cache Miss Rate Curve Prediction on Commodity Systems.
IPDPS
Lulu He, Zhibin Yu, Hai Jin
2011 — conf
Hierarchically characterizing CUDA program behavior.
IISWC
Zhibin Yu, Hai Jin, Nilanjan Goswami, Tao Li, Lizy K. John
2011 J jnl
MT-BTRIMER: A master-slave multi-threaded dynamic binary translator.
Comput. Syst. Sci. Eng.
Xuping Tu, Hai Jin, Zhibin Yu, Jie Chen, Yabin Hu, Xia Xie
2010 B conf
CantorSim: Simplifying Acceleration of Micro-architecture Simulations.
MASCOTS
Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John
2010 — conf
MT-BTRIMER: A Master-Slave Multi-threaded Dynamic Binary Translator.
FCST
Xuping Tu, Hai Jin, Zhibin Yu, Jie Chen, Yabin Hu
2010 B conf
System-level max power (SYMPO): a systematic approach for escalating system-level power consumption using synthetic benchmarks.
PACT
Karthik Ganesan, Jungho Jo, William Lloyd Bircher, Dimitris Kaseridis, Zhibin Yu, Lizy K. John
2009 J jnl
Simple and fast micro-architecture simulation: a trisection cantor fractal approach.
SIGMETRICS Perform. Evaluation Rev.
Zhibin Yu, Hai Jin
2009 B conf
TSS: Applying two-stage sampling in micro-architecture simulations.
MASCOTS
Zhibin Yu, Hai Jin, Jian Chen, Lizy K. John
2008 — conf
An Evaluation of Two-Stage Systematic Sampling in Micro-Architecture Simulation.
ChinaGrid
Zhibin Yu, Hai Jin, Jie Chen
2008 — conf
Identifying Classes via Cognitive Approach in Object-Oriented System.
PACIIA (2)
Zhibin Yu, Hai Jin