Jianbin Fang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 64

Top Venues

CoRR

IPDPS

IEEE Trans. Parallel Distributed Syst.

CCF Trans. High Perform. Comput.

Delft University of Technology, Netherlands (PHD)

Education History

Delft University of Technology, Netherlands

PHD

Publications

Tao Tang, Kai Lu, Lin Peng, Yingbo Cui, Jianbin Fang, Chun Huang, Ruibo Wang, Canqun Yang, Yifei Guo
SNCL: a supernode OpenCL implementation for hybrid computing arrays. J. Supercomput. 80 (7) (2024)
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu
Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. PPoPP (2024)
Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang
GraphCube: Interconnection Hierarchy-aware Graph Processing. PPoPP (2024)
Fugeng Zhu, Xinxin Qi, Peng Zhang, Jianbin Fang, Tao Tang, Yonggang Che, Kainan Yu, Jing Xie, Chun Huang, Jie Ren
Optimizing Stencil Computation on Multi-core DSPs. ICPP (2024)
Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang
Optimizing Full-Spectrum Matrix Multiplications on ARMv8 Multi-Core CPUs. IEEE Trans. Parallel Distributed Syst. 35 (3) (2024)
Deshun Bi, Shengguo Li, Dezun Dong, Peng Zhang, Jianbin Fang
Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization. ICPP (2024)
Kainan Yu, Xinxin Qi, Peng Zhang, Jianbin Fang, Dezun Dong, Ruibo Wang, Tao Tang, Chun Huang, Yonggang Che, Zheng Wang
Optimizing General Matrix Multiplications on Modern Multi-core DSPs. IPDPS (2024)
Jianbin Fang, Jidong Zhai, Zheng Wang
Editorial for the special issue on programming models and system software for High-Performance Computing (HPC) environments. CCF Trans. High Perform. Comput. 6 (3) (2024)
Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang
wrBench: Comparing Cache Architectures and Coherency Protocols on ARMv8 Many-Core Systems. J. Comput. Sci. Technol. 38 (6) (2023)
Zhangyu Liu, Cheng Zhang, Huijun Wu, Jianbin Fang, Lin Peng, Guixin Ye, Zhanyong Tang
Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning. CLUSTER (2023)
Jintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, Shengguo Li, Zheng Wang
Optimizing MPI Collectives on Shared Memory Multi-Cores. SC (2023)
Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang
Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000. Frontiers Inf. Technol. Electron. Eng. 24 (4) (2023)
Pengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, Tao Tang, Zheng Wang
Optimizing Direct Convolutions on ARM Multi-Cores. SC (2023)
Kai Lu, Yaohua Wang, Yang Guo, Chun Huang, Sheng Liu, Ruibo Wang, Jianbin Fang, Tao Tang, Zhaoyun Chen, Biwei Liu, Zhong Liu, Yuanwu Lei, Haiyan Sun
MT-3000: a heterogeneous multi-zone processor for HPC. CCF Trans. High Perform. Comput. 4 (2) (2022)
Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000. CoRR (2022)
Donglin Chen, Xiang Gao, Chuanfu Xu, Siqi Wang, Shizhao Chen, Jianbin Fang, Zheng Wang
FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction. Frontiers Inf. Technol. Electron. Eng. 23 (2) (2022)
Wei Jiang, Bo Wang, Sheng Ma, Xiang Hou, Libo Huang, Yi Dai, Jianbin Fang
PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage. ICA3PP (2022)
Pengyu Wang, Wanrong Gao, Jianbin Fang, Chun Huang, Zheng Wang
Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores. HPCC/DSS/SmartCity/DependSys (2021)
Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang
BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang
LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores. SC (2021)
Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang
Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures. CLUSTER (2021)
Jianbin Fang, Xiangke Liao, Chun Huang, Dezun Dong
Performance Evaluation of Memory-Centric ARMv8 Many-Core Architectures: A Case Study with Phytium 2000+. J. Comput. Sci. Technol. 36 (1) (2021)
Weiling Yang, Jianbin Fang, Dezun Dong
Characterizing Small-Scale Matrix Multiplications on ARMv8-based Many-Core Architectures. IPDPS (2021)
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang
clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization. Future Gener. Comput. Syst. 108 (2020)
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures. IEEE Trans. Parallel Distributed Syst. 31 (8) (2020)
Donglin Chen, Xiang Gao, Chuanfu Xu, Shizhao Chen, Jianbin Fang, Zhenghua Wang, Zheng Wang
FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions. ICTAI (2020)
Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+. Int. J. Parallel Program. 48 (1) (2020)
Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang
Parallel programming models for heterogeneous many-cores: a comprehensive survey. CCF Trans. High Perform. Comput. 2 (4) (2020)
Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu
NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures. NPC (2020)
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach. CoRR (2020)
Zhaoyun Chen, Wei Quan, Mei Wen, Jianbin Fang, Jie Yu, Chunyuan Zhang, Lei Luo
Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters. IEEE Trans. Parallel Distributed Syst. 31 (1) (2020)
Wanrong Gao, Jianbin Fang, Chuanfu Xu, Chun Huang
Dissecting the Phytium 2000+ Memory Hierarchy via Microbenchmarking. ACA (2020)
Guixin Ye, Zhanyong Tang, Huanting Wang, Dingyi Fang, Jianbin Fang, Songfang Huang, Zheng Wang
Deep Program Structure Modeling Through Multi-Relational Graph-based Learning. PACT (2020)
Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang
Parallel Programming Models for Heterogeneous Many-Cores : A Survey. CoRR (2020)
Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores. CoRR (2019)
Donglin Chen, Jianbin Fang, Shizhao Chen, Chuanfu Xu, Zheng Wang
Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture. Int. J. Parallel Program. 47 (3) (2019)
Cheng Chen, Yunfei Du, Ke Zuo, Jianbin Fang, Canqun Yang
Toward fault-tolerant hybrid programming over large-scale heterogeneous clusters via checkpointing/restart optimization. J. Supercomput. 75 (8) (2019)
Wenxu Zheng, Jianbin Fang, Chen Juan, Feihao Wu, Xiaodong Pan, Hao Wang, Xiaole Sun, Yuan Yuan, Min Xie, Chun Huang, Tao Tang, Zheng Wang
Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems. HPCC/SmartCity/DSS (2019)
Minquan Fang, Jianbin Fang, Weimin Zhang, Haifang Zhou, Jianxing Liao, Yuangang Wang
Benchmarking the GPU memory at the warp level. Parallel Comput. 71 (2018)
Peng Zhang, Tao Tang, Jianbin Fang, Chun Huang, Canqun Yang, Zheng Wang
MOCL: an efficient openCL implementation for the matrix-2000 architecture. CF (2018)
Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach. CoRR (2018)
Xiangke Liao, Kai Lu, Canqun Yang, Jin-wen Li, Yuan Yuan, Ming-che Lai, Libo Huang, Ping-jing Lu, Jianbin Fang, Jing Ren, Jie Shen
Moving from exascale to zettascale computing: challenges and techniques. Frontiers Inf. Technol. Electron. Eng. 19 (10) (2018)
Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang
Auto-tuning Streamed Applications on Intel Xeon Phi. IPDPS (2018)
Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang
Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. HPCC/SmartCity/DSS (2018)
Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang
Proteus: network-aware web browsing on heterogeneous mobile systems. CoNEXT (2018)
Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang
Orchestrating parallel detection of strongly connected components on GPUs. Parallel Comput. 78 (2018)
Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. CoRR (2018)
Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. CoRR (2018)
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang
Efficient and Portable ALS Matrix Factorization for Recommender Systems. IPDPS Workshops (2017)
Xuhao Chen, Pingfan Li, Jianbin Fang, Tao Tang, Zhiying Wang, Canqun Yang
Efficient and high-quality sparse graph coloring on GPUs. Concurr. Comput. Pract. Exp. 29 (10) (2017)
Jing Chen, Jianbin Fang, Tao Tang, Canqun Yang
多核/众核平台上推荐算法的实现与性能评估 (Implementation and Performance Evaluation of Recommender Algorithms Based on Multi-/Many-core Platforms). 计算机科学 44 (10) (2017)
Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs. PMAM@PPoPP (2017)
Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu
High Performance Coordinate Descent Matrix Factorization for Recommender Systems. Conf. Computing Frontiers (2017)
Cheng Chen, Jianbin Fang, Tao Tang, Canqun Yang
LU factorization on heterogeneous systems: an energy-efficient approach towards high performance. Computing 99 (8) (2017)
Jianbin Fang, Peng Zhang, Tao Tang, Chun Huang, Canqun Yang
Implementing and Evaluating OpenCL on an ARMv8 Multi-Core CPU. ISPA/IUCC (2017)
Liang Deng, Jianbin Fang, Fang Wang, Hanli Bai
Evaluating Multi-core and Many-Core Architectures through Accelerating an Alternating Direction Implicit CFD Solver. ISPDC (2016)
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang
Streaming Applications on Heterogeneous Platforms. NPC (2016)
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
Evaluating the Performance Impact of Multiple Streams on the MIC-based Heterogeneous Platform. CoRR (2016)
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang
Streaming Applications on Heterogeneous Platforms. CoRR (2016)
Canqun Yang, Cheng Chen, Tao Tang, Xuhao Chen, Jianbin Fang, Jingling Xue
An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems. ICPADS (2016)
Jianbin Fang, Peng Zhang, Zhaokui Li, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
Evaluating Multiple Streams on Heterogeneous Platforms. Parallel Process. Lett. 26 (4) (2016)
Pingfan Li, Xuhao Chen, Zhe Quan, Jianbin Fang, Huayou Su, Tao Tang, Canqun Yang
High Performance Parallel Graph Coloring on GPGPUs. IPDPS Workshops (2016)
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
Evaluating the Performance Impact of Multiple Streams on the MIC-Based Heterogeneous Platform. IPDPS Workshops (2016)
Minquan Fang, Yi Yu, Weimin Zhang, Heng Wu, Mingzhu Deng, Jianbin Fang
High Performance Computing of Fast Independent Component Analysis for Hyperspectral Image Dimensionality Reduction on MIC-Based Clusters. ICPP Workshops (2015)
Robert Andrawis, José David Bermeo, James Charles, Jianbin Fang, Jim Fonseca, Yu He, Gerhard Klimeck, Zhengping Jiang, Tillmann Kubis, Daniel F. Mejia, Daniel Lemus, Michael Povolotskyi, Santiago Alonso Pérez-Rubiano, Prasad Sarangapani, Lang Zeng
NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law. CoRR (2015)
Yonggang Che, Chuanfu Xu, Jianbin Fang, Yongxian Wang, Zhenghua Wang
Realistic Performance Characterization of CFD Applications on Intel Many Integrated Core Architecture. Comput. J. 58 (12) (2015)
Jianbin Fang, Ana Lucia Varbanescu, Xiangke Liao, Henk J. Sips
Evaluating vector data type usage in OpenCL kernels. Concurr. Comput. Pract. Exp. 27 (17) (2015)
Chuanfu Xu, Lilun Zhang, Xiaogang Deng, Jianbin Fang, Guangxue Wang, Wei Cao, Yonggang Che, Yongxian Wang, Wei Liu
Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer. IPDPS (2014)
Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, José M. Cecilia, Horacio Emilio Pérez Sánchez
Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi. IWBBIO (2014)
Jianbin Fang, Henk J. Sips, Pekka Jääskeläinen, Ana Lucia Varbanescu
Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels. ICPP (2014)
Jianbin Fang, Henk J. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu
Test-driving Intel Xeon Phi. ICPE (2014)
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Jianbin Fang, Guangxue Wang, Yi Jiang, Wei Cao, Yonggang Che, Yongxian Wang, Zhenghua Wang, Wei Liu, Xinghua Cheng
Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer. J. Comput. Phys. 278 (2014)
Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
Aristotle: A performance impact indicator for the OpenCL kernels using local memory. Sci. Program. 22 (3) (2014)
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu
An Empirical Study of Intel Xeon Phi. CoRR (2013)
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
Sesame: A User-Transparent Optimizing Framework for Many-Core Processors. CCGRID (2013)
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
Performance Traps in OpenCL for CPUs. PDP (2013)
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips
ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. PDP (2013)
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Yi Jiang, Wei Cao, Jianbin Fang, Yonggang Che, Yongxian Wang, Wei Liu
Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer. ISC (2013)
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
An application-centric evaluation of OpenCL on multi-core CPUs. Parallel Comput. 39 (12) (2013)
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
Performance Gaps between OpenMP and OpenCL for Multi-core CPUs. ICPP Workshops (2012)
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten
Accelerating Cost Aggregation for Real-Time Stereo Matching. ICPADS (2012)
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
An Auto-tuning Solution to Data Streams Clustering in OpenCL. CSE (2011)
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
A Comprehensive Performance Comparison of CUDA and OpenCL. ICPP (2011)
Chuanfu Xu, Yonggang Che, Jianbin Fang, Zhenghua Wang
Optimizing Adaptive Synchronization in Parallel Simulators for Large-scale Parallel Systems and Applications. CIT (2010)

Jianbin Fang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jianbin Fang