Jianbin Fang

According to our database, Jianbin Fang authored at least 77 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimizing Full-Spectrum Matrix Multiplications on ARMv8 Multi-Core CPUs.

Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang

IEEE Trans. Parallel Distributed Syst., March, 2024

Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores.

Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

GraphCube: Interconnection Hierarchy-aware Graph Processing.

Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023

wrBench: Comparing Cache Architectures and Coherency Protocols on ARMv8 Many-Core Systems.

Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang

J. Comput. Sci. Technol., December, 2023

Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000.

Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang

Frontiers Inf. Technol. Electron. Eng., 2023

Optimizing Direct Convolutions on ARM Multi-Cores.

Pengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, Tao Tang, Zheng Wang

Proceedings of the International Conference for High Performance Computing, 2023

Optimizing MPI Collectives on Shared Memory Multi-Cores.

Jintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, Shengguo Li, Zheng Wang

Proceedings of the International Conference for High Performance Computing, 2023

Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning.

Zhangyu Liu, Cheng Zhang, Huijun Wu, Jianbin Fang, Lin Peng, Guixin Ye, Zhanyong Tang

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction.

Donglin Chen, Xiang Gao, Chuanfu Xu, Siqi Wang, Shizhao Chen, Jianbin Fang, Zheng Wang

Frontiers Inf. Technol. Electron. Eng., 2022

MT-3000: a heterogeneous multi-zone processor for HPC.

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

CCF Trans. High Perform. Comput., 2022

PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage.

Wei Jiang, Bo Wang, Sheng Ma, Xiang Hou, Libo Huang, Yi Dai, Jianbin Fang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

2021

BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs.

Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang

IEEE Trans. Parallel Distributed Syst., 2021

Performance Evaluation of Memory-Centric ARMv8 Many-Core Architectures: A Case Study with Phytium 2000+.

Jianbin Fang, Xiangke Liao, Chun Huang, Dezun Dong

J. Comput. Sci. Technol., 2021

LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores.

Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang

Proceedings of the International Conference for High Performance Computing, 2021

Characterizing Small-Scale Matrix Multiplications on ARMv8-based Many-Core Architectures.

Weiling Yang, Jianbin Fang, Dezun Dong

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores.

Pengyu Wang, Wanrong Gao, Jianbin Fang, Chun Huang, Zheng Wang

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures.

Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures.

Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2020

Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters.

Zhaoyun Chen, Wei Quan, Mei Wen, Jianbin Fang, Jie Yu, Chunyuan Zhang, Lei Luo

IEEE Trans. Parallel Distributed Syst., 2020

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+.

Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang

Int. J. Parallel Program., 2020

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization.

Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang

Future Gener. Comput. Syst., 2020

Parallel Programming Models for Heterogeneous Many-Cores : A Survey.

Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang

CoRR, 2020

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach.

Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang

CoRR, 2020

Parallel programming models for heterogeneous many-cores: a comprehensive survey.

Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang

CCF Trans. High Perform. Comput., 2020

NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures.

Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu

Proceedings of the Network and Parallel Computing, 2020

FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions.

Donglin Chen, Xiang Gao, Chuanfu Xu, Shizhao Chen, Jianbin Fang, Zhenghua Wang, Zheng Wang

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Dissecting the Phytium 2000+ Memory Hierarchy via Microbenchmarking.

Wanrong Gao, Jianbin Fang, Chuanfu Xu, Chun Huang

Proceedings of the Advanced Computer Architecture - 13th Conference, 2020

Deep Program Structure Modeling Through Multi-Relational Graph-based Learning.

Guixin Ye, Zhanyong Tang, Huanting Wang, Dingyi Fang, Jianbin Fang, Songfang Huang, Zheng Wang

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Toward fault-tolerant hybrid programming over large-scale heterogeneous clusters via checkpointing/restart optimization.

Cheng Chen, Yunfei Du, Ke Zuo, Jianbin Fang, Canqun Yang

J. Supercomput., 2019

Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture.

Donglin Chen, Jianbin Fang, Shizhao Chen, Chuanfu Xu, Zheng Wang

Int. J. Parallel Program., 2019

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores.

Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang

CoRR, 2019

Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems.

Wenxu Zheng, Jianbin Fang, Chen Juan, Feihao Wu, Xiaodong Pan, Hao Wang, Xiaole Sun, Yuan Yuan, Min Xie, Chun Huang, Tao Tang, Zheng Wang

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Benchmarking the GPU memory at the warp level.

Minquan Fang, Jianbin Fang, Weimin Zhang, Haifang Zhou, Jianxing Liao, Yuangang Wang

Parallel Comput., 2018

Orchestrating parallel detection of strongly connected components on GPUs.

Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang

Parallel Comput., 2018

Moving from exascale to zettascale computing: challenges and techniques.

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

Frontiers Inf. Technol. Electron. Eng., 2018

Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.

Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang

CoRR, 2018

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach.

Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang

CoRR, 2018

To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.

Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Auto-tuning Streamed Applications on Intel Xeon Phi.

Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.

Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Proteus: network-aware web browsing on heterogeneous mobile systems.

Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang

Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies, 2018

MOCL: an efficient openCL implementation for the matrix-2000 architecture.

Peng Zhang, Tao Tang, Jianbin Fang, Chun Huang, Canqun Yang, Zheng Wang

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017

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).

Jing Chen, Jianbin Fang, Tao Tang, Canqun Yang

计算机科学, 2017

Efficient and high-quality sparse graph coloring on GPUs.

Xuhao Chen, Pingfan Li, Jianbin Fang, Tao Tang, Zhiying Wang, Canqun Yang

Concurr. Comput. Pract. Exp., 2017

LU factorization on heterogeneous systems: an energy-efficient approach towards high performance.

Cheng Chen, Jianbin Fang, Tao Tang, Canqun Yang

Computing, 2017

High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs.

Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang

Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, 2017

Implementing and Evaluating OpenCL on an ARMv8 Multi-Core CPU.

Jianbin Fang, Peng Zhang, Tao Tang, Chun Huang, Canqun Yang

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Efficient and Portable ALS Matrix Factorization for Recommender Systems.

Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

High Performance Coordinate Descent Matrix Factorization for Recommender Systems.

Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu

Proceedings of the Computing Frontiers Conference, 2017

2016

Evaluating Multiple Streams on Heterogeneous Platforms.

Jianbin Fang, Peng Zhang, Zhaokui Li, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang

Parallel Process. Lett., 2016

Streaming Applications on Heterogeneous Platforms.

Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang

Proceedings of the Network and Parallel Computing, 2016

Evaluating Multi-core and Many-Core Architectures through Accelerating an Alternating Direction Implicit CFD Solver.

Liang Deng, Jianbin Fang, Fang Wang, Hanli Bai

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

Evaluating the Performance Impact of Multiple Streams on the MIC-Based Heterogeneous Platform.

Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

High Performance Parallel Graph Coloring on GPGPUs.

Pingfan Li, Xuhao Chen, Zhe Quan, Jianbin Fang, Huayou Su, Tao Tang, Canqun Yang

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems.

Canqun Yang, Cheng Chen, Tao Tang, Xuhao Chen, Jianbin Fang, Jingling Xue

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law.

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

CoRR, 2015

Evaluating vector data type usage in OpenCL kernels.

Jianbin Fang, Ana Lucia Varbanescu, Xiangke Liao, Henk J. Sips

Concurr. Comput. Pract. Exp., 2015

Realistic Performance Characterization of CFD Applications on Intel Many Integrated Core Architecture.

Yonggang Che, Chuanfu Xu, Jianbin Fang, Yongxian Wang, Zhenghua Wang

Comput. J., 2015

High Performance Computing of Fast Independent Component Analysis for Hyperspectral Image Dimensionality Reduction on MIC-Based Clusters.

Minquan Fang, Yi Yu, Weimin Zhang, Heng Wu, Mingzhu Deng, Jianbin Fang

Proceedings of the 44th International Conference on Parallel Processing Workshops, 2015

2014

Towards a Systematic Exploration of the Optimization Space for Many-Core Processors.

Jianbin Fang

PhD thesis, 2014

Aristotle: A performance impact indicator for the OpenCL kernels using local memory.

Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Sci. Program., 2014

Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer.

Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Jianbin Fang, Guangxue Wang, Yi Jiang, Wei Cao, Yonggang Che, Yongxian Wang, Zhenghua Wang, Wei Liu, Xinghua Cheng

J. Comput. Phys., 2014

Test-driving Intel Xeon Phi.

Jianbin Fang, Henk J. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi.

Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, José M. Cecilia, Horacio Emilio Pérez Sánchez

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer.

Chuanfu Xu, Lilun Zhang, Xiaogang Deng, Jianbin Fang, Guangxue Wang, Wei Cao, Yonggang Che, Yongxian Wang, Wei Liu

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels.

Jianbin Fang, Henk J. Sips, Pekka Jääskeläinen, Ana Lucia Varbanescu

Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013

An application-centric evaluation of OpenCL on multi-core CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Parallel Comput., 2013

An Empirical Study of Intel Xeon Phi.

Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu

CoRR, 2013

Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer.

Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Yi Jiang, Wei Cao, Jianbin Fang, Yonggang Che, Yongxian Wang, Wei Liu

Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013

Performance Traps in OpenCL for CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Proceedings of the 21st Euromicro International Conference on Parallel, 2013

ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels.

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips

Proceedings of the 21st Euromicro International Conference on Parallel, 2013

Sesame: A User-Transparent Optimizing Framework for Many-Core Processors.

Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Performance Gaps between OpenMP and OpenCL for Multi-core CPUs.

Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Accelerating Cost Aggregation for Real-Time Stereo Matching.

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

2011

A Comprehensive Performance Comparison of CUDA and OpenCL.

Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips

Proceedings of the International Conference on Parallel Processing, 2011

An Auto-tuning Solution to Data Streams Clustering in OpenCL.

Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips

Proceedings of the 14th IEEE International Conference on Computational Science and Engineering, 2011

2010

Optimizing Adaptive Synchronization in Parallel Simulators for Large-scale Parallel Systems and Applications.

Chuanfu Xu, Yonggang Che, Jianbin Fang, Zhenghua Wang

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010