Optimizing Adaptive Synchronization in Parallel Simulators for Large-scale Parallel Systems and Applications. - Chuanfu Xu; Yonggang Che; Jianbin Fang; Zhenghua Wang (CIT, 2010)

An Auto-tuning Solution to Data Streams Clustering in OpenCL. - Jianbin Fang; Ana Lucia Varbanescu; Henk J. Sips (CSE, 2011)

A Comprehensive Performance Comparison of CUDA and OpenCL. - Jianbin Fang; Ana Lucia Varbanescu; Henk J. Sips (ICPP, 2011)

Accelerating Cost Aggregation for Real-Time Stereo Matching. - Jianbin Fang; Ana Lucia Varbanescu; Jie Shen 003; Henk J. Sips; Gorkem Saygili; Laurens van der Maaten (ICPADS, 2012)

Performance Gaps between OpenMP and OpenCL for Multi-core CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (ICPP Workshops, 2012)

Sesame: A User-Transparent Optimizing Framework for Many-Core Processors. - Jianbin Fang; Ana Lucia Varbanescu; Henk J. Sips (CCGRID, 2013)

ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels. - Jianbin Fang; Ana Lucia Varbanescu; Jie Shen 003; Henk J. Sips (PDP, 2013)

Performance Traps in OpenCL for CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (PDP, 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 013 (ISC, 2013)

An Empirical Study of Intel Xeon Phi. - Jianbin Fang; Ana Lucia Varbanescu; Henk J. Sips; Lilun Zhang; Yonggang Che; Chuanfu Xu (CoRR, 2013)

An application-centric evaluation of OpenCL on multi-core CPUs. - Jie Shen 003; Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (Parallel Comput., 2013)

Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels. - Jianbin Fang; Henk J. Sips; Pekka Jääskeläinen; Ana Lucia Varbanescu (ICPP, 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 013 (IPDPS, 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 (IWBBIO, 2014)

Test-driving Intel Xeon Phi. - Jianbin Fang; Henk J. Sips; Lilun Zhang; Chuanfu Xu; Yonggang Che; Ana Lucia Varbanescu (ICPE, 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 013; Xinghua Cheng (J. Comput. Phys., 2014)

Aristotle: A performance impact indicator for the OpenCL kernels using local memory. - Jianbin Fang; Henk J. Sips; Ana Lucia Varbanescu (Sci. Program., 2014)

Towards a Systematic Exploration of the Optimization Space for Many-Core Processors. - Jianbin Fang (2014)

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 (ICPP Workshops, 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)

Evaluating vector data type usage in OpenCL kernels. - Jianbin Fang; Ana Lucia Varbanescu; Xiangke Liao; Henk J. Sips (Concurr. Comput. Pract. Exp., 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; et al. (CoRR, 2015)

An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems. - Canqun Yang; Cheng Chen 005; Tao Tang 001; Xuhao Chen 001; Jianbin Fang; Jingling Xue (ICPADS, 2016)

High Performance Parallel Graph Coloring on GPGPUs. - Pingfan Li; Xuhao Chen 001; Zhe Quan; Jianbin Fang; Huayou Su; Tao Tang 001; Canqun Yang (IPDPS Workshops, 2016)

Evaluating the Performance Impact of Multiple Streams on the MIC-Based Heterogeneous Platform. - Zhaokui Li; Jianbin Fang; Tao Tang 001; Xuhao Chen 001; Cheng Chen 005; Canqun Yang (IPDPS Workshops, 2016)

Evaluating Multi-core and Many-Core Architectures through Accelerating an Alternating Direction Implicit CFD Solver. - Liang Deng; Jianbin Fang; Fang Wang 004; Hanli Bai (ISPDC, 2016)

Streaming Applications on Heterogeneous Platforms. - Zhaokui Li; Jianbin Fang; Tao Tang 001; Xuhao Chen 001; Canqun Yang (NPC, 2016)

Evaluating Multiple Streams on Heterogeneous Platforms. - Jianbin Fang; Peng Zhang 061; Zhaokui Li; Tao Tang 001; Xuhao Chen 001; Cheng Chen 005; Canqun Yang (Parallel Process. Lett., 2016)

High Performance Coordinate Descent Matrix Factorization for Recommender Systems. - Xi Yang 020; Jianbin Fang; Jing Chen 038; Chengkun Wu; Tao Tang 001; Kai Lu 001 (Conf. Computing Frontiers, 2017)

Efficient and Portable ALS Matrix Factorization for Recommender Systems. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Tao Tang 001; Xuhao Chen 001; Canqun Yang (IPDPS Workshops, 2017)

Implementing and Evaluating OpenCL on an ARMv8 Multi-Core CPU. - Jianbin Fang; Peng Zhang 061; Tao Tang 001; Chun Huang; Canqun Yang (ISPA/IUCC, 2017)

High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs. - Pingfan Li; Xuhao Chen 001; Jie Shen 003; Jianbin Fang; Tao Tang 001; Canqun Yang (PMAM@PPoPP, 2017)

LU factorization on heterogeneous systems: an energy-efficient approach towards high performance. - Cheng Chen 005; Jianbin Fang; Tao Tang 001; Canqun Yang (Computing, 2017)

Efficient and high-quality sparse graph coloring on GPUs. - Xuhao Chen 001; Pingfan Li; Jianbin Fang; Tao Tang 001; Zhiying Wang 003; Canqun Yang (Concurr. Comput. Pract. Exp., 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 038; Jianbin Fang; Tao Tang 001; Canqun Yang (计算机科学, 2017)

MOCL: an efficient openCL implementation for the matrix-2000 architecture. - Peng Zhang 061; Tao Tang 001; Jianbin Fang; Chun Huang; Canqun Yang; Zheng Wang 001 (CF, 2018)

Proteus: network-aware web browsing on heterogeneous mobile systems. - Jie Ren 007; Xiaoming Wang; Jianbin Fang; Yansong Feng 002; Dongxiao Zhu; Zhunchen Luo; Jie Zheng 005; Zheng Wang 001 (CoNEXT, 2018)

Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. - Shizhao Chen; Jianbin Fang; Donglin Chen; Chuanfu Xu; Zheng Wang 001 (HPCC/SmartCity/DSS, 2018)

Auto-tuning Streamed Applications on Intel Xeon Phi. - Peng Zhang 061; Jianbin Fang; Tao Tang 001; Canqun Yang; Zheng Wang 001 (IPDPS, 2018)

To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. - Qing Qin; Jie Ren 007; Jialong Yu; Hai Wang 010; Ling Gao; Jie Zheng 005; Yansong Feng 002; Jianbin Fang; Zheng Wang 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach. - Peng Zhang 061; Jianbin Fang; Tao Tang 001; Canqun Yang; Zheng Wang 001 (CoRR, 2018)

Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures. - Shizhao Chen; Jianbin Fang; Donglin Chen; Chuanfu Xu; Zheng Wang 001 (CoRR, 2018)

Moving from exascale to zettascale computing: challenges and techniques. - Xiangke Liao; Kai Lu 001; Canqun Yang; Jin-wen Li; Yuan Yuan 034; Ming-che Lai; Libo Huang; Pingjing Lu; Jianbin Fang; Jing Ren; Jie Shen 003 (Frontiers Inf. Technol. Electron. Eng., 2018)

Orchestrating parallel detection of strongly connected components on GPUs. - Xuhao Chen 001; Cheng Chen 005; Jie Shen 003; Jianbin Fang; Tao Tang 001; Canqun Yang; Zhiying Wang 003 (Parallel Comput., 2018)

Benchmarking the GPU memory at the warp level. - Minquan Fang; Jianbin Fang; Weimin Zhang; Haifang Zhou; Jianxing Liao; Yuangang Wang (Parallel Comput., 2018)

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 034; Min Xie; Chun Huang; Tao Tang 001; Zheng Wang 001 (HPCC/SmartCity/DSS, 2019)

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores. - Donglin Chen; Jianbin Fang; Chuanfu Xu; Shizhao Chen; Zheng Wang 001 (CoRR, 2019)

Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture. - Donglin Chen; Jianbin Fang; Shizhao Chen; Chuanfu Xu; Zheng Wang 001 (Int. J. Parallel Program., 2019)

Toward fault-tolerant hybrid programming over large-scale heterogeneous clusters via checkpointing/restart optimization. - Cheng Chen 005; Yunfei Du; Ke Zuo; Jianbin Fang; Canqun Yang (J. Supercomput., 2019)

Deep Program Structure Modeling Through Multi-Relational Graph-based Learning. - Guixin Ye; Zhanyong Tang; Huanting Wang; Dingyi Fang; Jianbin Fang; Songfang Huang; Zheng Wang 001 (PACT, 2020)

Dissecting the Phytium 2000+ Memory Hierarchy via Microbenchmarking. - Wanrong Gao; Jianbin Fang; Chuanfu Xu; Chun Huang (ACA, 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 001 (ICTAI, 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 002 (NPC, 2020)

Parallel programming models for heterogeneous many-cores: a comprehensive survey. - Jianbin Fang; Chun Huang; Tao Tang 001; Zheng Wang 001 (CCF Trans. High Perform. Comput., 2020)

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach. - Peng Zhang 061; Jianbin Fang; Canqun Yang; Chun Huang; Tao Tang 001; Zheng Wang 001 (CoRR, 2020)

Parallel Programming Models for Heterogeneous Many-Cores : A Survey. - Jianbin Fang; Chun Huang; Tao Tang 001; Zheng Wang 001 (CoRR, 2020)

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Tao Tang 001; Canqun Yang (Future Gener. Comput. Syst., 2020)

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+. - Donglin Chen; Jianbin Fang; Chuanfu Xu; Shizhao Chen; Zheng Wang 001 (Int. J. Parallel Program., 2020)

Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters. - Zhaoyun Chen; Wei Quan 004; Mei Wen; Jianbin Fang; Jie Yu 008; Chunyuan Zhang; Lei Luo 002 (IEEE Trans. Parallel Distributed Syst., 2020)

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures. - Peng Zhang 061; Jianbin Fang; Canqun Yang; Chun Huang; Tao Tang 001; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures. - Wanrong Gao; Jianbin Fang; Chun Huang; Chuanfu Xu; Zheng Wang 001 (CLUSTER, 2021)

Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores. - Pengyu Wang; Wanrong Gao; Jianbin Fang; Chun Huang; Zheng Wang 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Characterizing Small-Scale Matrix Multiplications on ARMv8-based Many-Core Architectures. - Weiling Yang; Jianbin Fang; Dezun Dong (IPDPS, 2021)

LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores. - Weiling Yang; Jianbin Fang; Dezun Dong; Xing Su 004; Zheng Wang 001 (SC, 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)

BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Canqun Yang (IEEE Trans. Parallel Distributed Syst., 2021)

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 (ICA3PP, 2022)

MT-3000: a heterogeneous multi-zone processor for HPC. - Kai Lu 001; Yaohua Wang; Yang Guo 003; Chun Huang; Sheng Liu 001; Ruibo Wang; Jianbin Fang; Tao Tang 001; Zhaoyun Chen; Biwei Liu; Zhong Liu 003; Yuanwu Lei; et al. (CCF Trans. High Perform. Comput., 2022)

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction. - Donglin Chen; Xiang Gao; Chuanfu Xu; Siqi Wang 001; Shizhao Chen; Jianbin Fang; Zheng Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning. - Zhangyu Liu; Cheng Zhang 007; Huijun Wu; Jianbin Fang; Lin Peng 001; Guixin Ye; Zhanyong Tang (CLUSTER, 2023)

Optimizing MPI Collectives on Shared Memory Multi-Cores. - Jintao Peng; Jianbin Fang; Jie Liu 002; Min Xie; Yi Dai; Bo Yang 023; Shengguo Li; Zheng Wang 001 (SC, 2023)

Optimizing Direct Convolutions on ARM Multi-Cores. - Pengyu Wang; Weiling Yang; Jianbin Fang; Dezun Dong; Chun Huang; Peng Zhang 061; Tao Tang 001; Zheng Wang 001 (SC, 2023)

Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000. - Jianbin Fang; Peng Zhang 061; Chun Huang; Tao Tang 001; Kai Lu 001; Ruibo Wang; Zheng Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

wrBench: Comparing Cache Architectures and Coherency Protocols on ARMv8 Many-Core Systems. - Wanrong Gao; Jianbin Fang; Chun Huang; Chuanfu Xu; Zheng Wang 001 (J. Comput. Sci. Technol., 2023)

Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization. - Deshun Bi; Shengguo Li; Dezun Dong; Peng Zhang 061; Jianbin Fang (ICPP, 2024)

Optimizing Stencil Computation on Multi-core DSPs. - Fugeng Zhu; Xinxin Qi; Peng Zhang 061; Jianbin Fang; Tao Tang 001; Yonggang Che; Kainan Yu; Jing Xie; Chun Huang; Jie Ren 007 (ICPP, 2024)

Optimizing General Matrix Multiplications on Modern Multi-core DSPs. - Kainan Yu; Xinxin Qi; Peng Zhang 061; Jianbin Fang; Dezun Dong; Ruibo Wang; Tao Tang 001; Chun Huang; Yonggang Che; Zheng Wang 001 (IPDPS, 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 001 (PPoPP, 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 001; Zhe Dai; Yonggang Che; Shizhao Chen; Jie Liu 002 (PPoPP, 2024)

A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication. - Haozhong Qiu; Chuanfu Xu; Jianbin Fang; Jian Zhang; Liang Deng; Yue Ding 001; Qingsong Wang; Shizhao Chen; Yonggang Che; Jie Liu 002 (SC, 2024)

Enhancing Compiler Optimization with Reinforcement Learning and Monte Carlo Tree Search. - Jianfeng Liu; Jingxiang Ren; Jing Xie; Jianbin Fang; Ting Wang 009 (SEKE, 2024)

Optimizing Full-Spectrum Matrix Multiplications on ARMv8 Multi-Core CPUs. - Weiling Yang; Jianbin Fang; Dezun Dong; Xing Su 004; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2024)

SNCL: a supernode OpenCL implementation for hybrid computing arrays. - Tao Tang 001; Kai Lu 001; Lin Peng 001; Yingbo Cui 001; Jianbin Fang; Chun Huang; Ruibo Wang; Canqun Yang; Yifei Guo (J. Supercomput., 2024)

Editorial for the special issue on programming models and system software for High-Performance Computing (HPC) environments. - Jianbin Fang; Jidong Zhai; Zheng Wang 001 (CCF Trans. High Perform. Comput., 2024)

thSORT: an efficient parallel sorting algorithm on multi-core DSPs. - Mouzhi Yang; Peng Zhang 061; Jianbin Fang; Weifeng Liu 002; Chun Huang (CCF Trans. High Perform. Comput., 2024)

Efficient compiler optimization by modeling passes dependence. - Jianfeng Liu; Jianbin Fang; Ting Wang 009; Jing Xie; Chun Huang; Zheng Wang 001 (CCF Trans. High Perform. Comput., 2024)

Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product. - Xiaobo Lu; Jianbin Fang; Lin Peng 001; Chun Huang; Zidong Du; Yongwei Zhao; Zheng Wang 001 (ACM Trans. Archit. Code Optim., 2024)

FMCC-RT: a scalable and fine-grained all-reduce algorithm for large-scale SMP clusters. - Jintao Peng; Jie Liu 002; Jianbin Fang; Min Xie; Yi Dai; Zhiquan Lai; Bo Yang 023; Chunye Gong; Xinjun Mao; Guo Mao; Jie Ren 007 (Sci. China Inf. Sci., 2025)

Directed Testing in MLIR: Unleashing Its Potential by Overcoming the Limitations of Random Fuzzing. - Weiyuan Tong; Zixu Wang; Zhanyong Tang; Jianbin Fang; Yuqun Zhang; Guixin Ye (Proc. ACM Softw. Eng., 2025)

An empirical performance evaluation of SYCL on ARM multi-core processors. - Hanzheng Liang; Chencheng Deng; Peng Zhang 061; Jianbin Fang; Tao Tang 001; Chun Huang (CCF Trans. High Perform. Comput., 2025)

Gator: Accelerating Graph Attention Networks by Jointly Optimizing Attention and Graph Processing. - Xiaobo Lu; Jianbin Fang; Lin Peng 001; Chun Huang; Zixiao Yu; Tiejun Li (ACM Trans. Archit. Code Optim., 2025)

nDirect2: A High-Performance Library for Direct Convolutions on Multicore CPUs. - Weiling Yang; Pengyu Wang; Jianbin Fang; Dezun Dong; Zhengbin Pang; Runxi He; Peng Zhang 061; Tao Tang 001; Chun Huang; Yonggang Che; Jie Ren 007 (IEEE Trans. Computers, 2025)