Jianbin Fang

105 papers A* 1A 10B 13C 11Misc 1Journal 52Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing small matrix multiplications via batch grouping on multi-core DSPs.
CCF Trans. High Perform. Comput.
Xiaotian Chen, Pengyu Wang, Jianbin Fang, Peng Zhang, Chun Huang
2026 J jnl
mtGEMM: An Efficient GEMM Library for Modern Multi-Core DSPs.
IEEE Trans. Parallel Distributed Syst.
Jianbin Fang, Kainan Yu, Peng Zhang, Dezun Dong, Xinxin Qi, Xingyu Hou, Ruibo Wang, Kai Lu
2025 J jnl
An empirical performance evaluation of SYCL on ARM multi-core processors.
CCF Trans. High Perform. Comput.
Hanzheng Liang, Chencheng Deng, Peng Zhang, Jianbin Fang, Tao Tang, Chun Huang
2025 A conf
Constraint-Driven Auto-Tuning of GEMM-like Operators for MT-3000 Many-core Processor.
SC
Xinxin Qi, Jianbin Fang, Peng Zhang, Yonggang Che, Jie Ren
2025 J jnl
DCSolver: Accelerating Sparse Iterative Solvers via Divide-and-Conquer on GPUs.
ACM Trans. Archit. Code Optim.
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu
2025 J jnl
Demystifying ARM SME to Optimize General Matrix Multiplications.
CoRR
Chencheng Deng, Weiling Yang, Jianbin Fang, Dezun Dong
2025 J jnl
Directed Testing in MLIR: Unleashing Its Potential by Overcoming the Limitations of Random Fuzzing.
Proc. ACM Softw. Eng.
Weiyuan Tong, Zixu Wang, Zhanyong Tang, Jianbin Fang, Yuqun Zhang, Guixin Ye
2025 J jnl
FMCC-RT: a scalable and fine-grained all-reduce algorithm for large-scale SMP clusters.
Sci. China Inf. Sci.
Jintao Peng, Jie Liu, Jianbin Fang, Min Xie, Yi Dai, Zhiquan Lai, Bo Yang, Chunye Gong, Xinjun Mao, Guo Mao, Jie Ren
2025 J jnl
Gator: Accelerating Graph Attention Networks by Jointly Optimizing Attention and Graph Processing.
ACM Trans. Archit. Code Optim.
Xiaobo Lu, Jianbin Fang, Lin Peng, Chun Huang, Zixiao Yu, Tiejun Li
2025 A* conf
Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel.
DAC
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Shengguo Li, Liang Deng, Jian Zhang, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu
2025 B conf
Optimizing Direct Convolutions on High-Performance Multi-Core DSPs.
ICPP
Pengyu Wang, Xiaotian Chen, Jianbin Fang, Peng Zhang, Yonggang Che, Chun Huang, Jie Ren
2025 Misc conf
Selection of Supervised Learning-Based Sparse Matrix Reordering Algorithms.
HiPC
Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang
2025 J jnl
Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms.
CoRR
Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang
2025 J jnl
nDirect2: A High-Performance Library for Direct Convolutions on Multicore CPUs.
IEEE Trans. Computers
Weiling Yang, Pengyu Wang, Jianbin Fang, Dezun Dong, Zhengbin Pang, Runxi He, Peng Zhang, Tao Tang, Chun Huang, Yonggang Che, Jie Ren
2024 A conf
A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication.
SC
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Yue Ding, Qingsong Wang, Shizhao Chen, Yonggang Che, Jie Liu
2024 J jnl
Editorial for the special issue on programming models and system software for High-Performance Computing (HPC) environments.
CCF Trans. High Perform. Comput.
Jianbin Fang, Jidong Zhai, Zheng Wang
2024 J jnl
Efficient compiler optimization by modeling passes dependence.
CCF Trans. High Perform. Comput.
Jianfeng Liu, Jianbin Fang, Ting Wang, Jing Xie, Chun Huang, Zheng Wang
2024 C conf
Enhancing Compiler Optimization with Reinforcement Learning and Monte Carlo Tree Search.
SEKE
Jianfeng Liu, Jingxiang Ren, Jing Xie, Jianbin Fang, Ting Wang
2024 B conf
GraphCube: Interconnection Hierarchy-aware Graph Processing.
PPoPP
Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang
2024 J jnl
Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product.
ACM Trans. Archit. Code Optim.
Xiaobo Lu, Jianbin Fang, Lin Peng, Chun Huang, Zidong Du, Yongwei Zhao, Zheng Wang
2024 J jnl
Optimizing Full-Spectrum Matrix Multiplications on ARMv8 Multi-Core CPUs.
IEEE Trans. Parallel Distributed Syst.
Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang
2024 A conf
Optimizing General Matrix Multiplications on Modern Multi-core DSPs.
IPDPS
Kainan Yu, Xinxin Qi, Peng Zhang, Jianbin Fang, Dezun Dong, Ruibo Wang, Tao Tang, Chun Huang, Yonggang Che, Zheng Wang
2024 B conf
Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization.
ICPP
Deshun Bi, Shengguo Li, Dezun Dong, Peng Zhang, Jianbin Fang
2024 B conf
Optimizing Stencil Computation on Multi-core DSPs.
ICPP
Fugeng Zhu, Xinxin Qi, Peng Zhang, Jianbin Fang, Tao Tang, Yonggang Che, Kainan Yu, Jing Xie, Chun Huang, Jie Ren
2024 J jnl
SNCL: a supernode OpenCL implementation for hybrid computing arrays.
J. Supercomput.
Tao Tang, Kai Lu, Lin Peng, Yingbo Cui, Jianbin Fang, Chun Huang, Ruibo Wang, Canqun Yang, Yifei Guo
2024 B conf
Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores.
PPoPP
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu
2024 J jnl
thSORT: an efficient parallel sorting algorithm on multi-core DSPs.
CCF Trans. High Perform. Comput.
Mouzhi Yang, Peng Zhang, Jianbin Fang, Weifeng Liu, Chun Huang
2023 A conf
Optimizing Direct Convolutions on ARM Multi-Cores.
SC
Pengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, Tao Tang, Zheng Wang
2023 C conf
Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning.
CLUSTER
Zhangyu Liu, Cheng Zhang, Huijun Wu, Jianbin Fang, Lin Peng, Guixin Ye, Zhanyong Tang
2023 A conf
Optimizing MPI Collectives on Shared Memory Multi-Cores.
SC
Jintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, Shengguo Li, Zheng Wang
2023 J jnl
Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000.
Frontiers Inf. Technol. Electron. Eng.
Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang
2023 J jnl
wrBench: Comparing Cache Architectures and Coherency Protocols on ARMv8 Many-Core Systems.
J. Comput. Sci. Technol.
Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang
2022 J jnl
FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction.
Frontiers Inf. Technol. Electron. Eng.
Donglin Chen, Xiang Gao, Chuanfu Xu, Siqi Wang, Shizhao Chen, Jianbin Fang, Zheng Wang
2022 J jnl
MT-3000: a heterogeneous multi-zone processor for HPC.
CCF Trans. High Perform. Comput.
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
2022 C conf
PipeFB: An Optimized Pipeline Parallelism Scheme to Reduce the Peak Memory Usage.
ICA3PP
Wei Jiang, Bo Wang, Sheng Ma, Xiang Hou, Libo Huang, Yi Dai, Jianbin Fang
2022 J jnl
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000.
CoRR
Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang
2021 J jnl
BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs.
IEEE Trans. Parallel Distributed Syst.
Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang
2021 — conf
Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores.
HPCC/DSS/SmartCity/DependSys
Pengyu Wang, Wanrong Gao, Jianbin Fang, Chun Huang, Zheng Wang
2021 A conf
Characterizing Small-Scale Matrix Multiplications on ARMv8-based Many-Core Architectures.
IPDPS
Weiling Yang, Jianbin Fang, Dezun Dong
2021 A conf
LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores.
SC
Weiling Yang, Jianbin Fang, Dezun Dong, Xing Su, Zheng Wang
2021 C conf
Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures.
CLUSTER
Wanrong Gao, Jianbin Fang, Chun Huang, Chuanfu Xu, Zheng Wang
2021 J jnl
Performance Evaluation of Memory-Centric ARMv8 Many-Core Architectures: A Case Study with Phytium 2000+.
J. Comput. Sci. Technol.
Jianbin Fang, Xiangke Liao, Chun Huang, Dezun Dong
2020 J jnl
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+.
Int. J. Parallel Program.
Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang
2020 J jnl
Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters.
IEEE Trans. Parallel Distributed Syst.
Zhaoyun Chen, Wei Quan, Mei Wen, Jianbin Fang, Jie Yu, Chunyuan Zhang, Lei Luo
2020 B conf
Deep Program Structure Modeling Through Multi-Relational Graph-based Learning.
PACT
Guixin Ye, Zhanyong Tang, Huanting Wang, Dingyi Fang, Jianbin Fang, Songfang Huang, Zheng Wang
2020 — conf
Dissecting the Phytium 2000+ Memory Hierarchy via Microbenchmarking.
ACA
Wanrong Gao, Jianbin Fang, Chuanfu Xu, Chun Huang
2020 B conf
FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions.
ICTAI
Donglin Chen, Xiang Gao, Chuanfu Xu, Shizhao Chen, Jianbin Fang, Zhenghua Wang, Zheng Wang
2020 C conf
NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures.
NPC
Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu
2020 J jnl
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures.
IEEE Trans. Parallel Distributed Syst.
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
2020 J jnl
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach.
CoRR
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
2020 J jnl
Parallel Programming Models for Heterogeneous Many-Cores : A Survey.
CoRR
Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang
2020 J jnl
Parallel programming models for heterogeneous many-cores: a comprehensive survey.
CCF Trans. High Perform. Comput.
Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang
2020 J jnl
clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization.
Future Gener. Comput. Syst.
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang
2019 — conf
Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems.
HPCC/SmartCity/DSS
Wenxu Zheng, Jianbin Fang, Chen Juan, Feihao Wu, Xiaodong Pan, Hao Wang, Xiaole Sun, Yuan Yuan, Min Xie, Chun Huang, Tao Tang, Zheng Wang
2019 J jnl
Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores.
CoRR
Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang
2019 J jnl
Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture.
Int. J. Parallel Program.
Donglin Chen, Jianbin Fang, Shizhao Chen, Chuanfu Xu, Zheng Wang
2019 J jnl
Toward fault-tolerant hybrid programming over large-scale heterogeneous clusters via checkpointing/restart optimization.
J. Supercomput.
Cheng Chen, Yunfei Du, Ke Zuo, Jianbin Fang, Canqun Yang
2018 — conf
Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.
HPCC/SmartCity/DSS
Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang
2018 A conf
Auto-tuning Streamed Applications on Intel Xeon Phi.
IPDPS
Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang
2018 J jnl
Benchmarking the GPU memory at the warp level.
Parallel Comput.
Minquan Fang, Jianbin Fang, Weimin Zhang, Haifang Zhou, Jianxing Liao, Yuangang Wang
2018 — conf
MOCL: an efficient openCL implementation for the matrix-2000 architecture.
CF
Peng Zhang, Tao Tang, Jianbin Fang, Chun Huang, Canqun Yang, Zheng Wang
2018 J jnl
Moving from exascale to zettascale computing: challenges and techniques.
Frontiers Inf. Technol. Electron. Eng.
Xiangke Liao, Kai Lu, Canqun Yang, Jin-wen Li, Yuan Yuan, Ming-Che Lai, Libo Huang, Pingjing Lu, Jianbin Fang, Jing Ren, Jie Shen
2018 J jnl
Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.
CoRR
Shizhao Chen, Jianbin Fang, Donglin Chen, Chuanfu Xu, Zheng Wang
2018 J jnl
Orchestrating parallel detection of strongly connected components on GPUs.
Parallel Comput.
Xuhao Chen, Cheng Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang, Zhiying Wang
2018 A conf
Proteus: network-aware web browsing on heterogeneous mobile systems.
CoNEXT
Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Jie Zheng, Zheng Wang
2018 — conf
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang
2018 J jnl
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.
CoRR
Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang
2018 J jnl
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach.
CoRR
Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang
2017 — conf
Efficient and Portable ALS Matrix Factorization for Recommender Systems.
IPDPS Workshops
Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang
2017 J jnl
Efficient and high-quality sparse graph coloring on GPUs.
Concurr. Comput. Pract. Exp.
Xuhao Chen, Pingfan Li, Jianbin Fang, Tao Tang, Zhiying Wang, Canqun Yang
2017 — conf
High Performance Coordinate Descent Matrix Factorization for Recommender Systems.
Conf. Computing Frontiers
Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu
2017 — conf
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs.
PMAM@PPoPP
Pingfan Li, Xuhao Chen, Jie Shen, Jianbin Fang, Tao Tang, Canqun Yang
2017 — conf
Implementing and Evaluating OpenCL on an ARMv8 Multi-Core CPU.
ISPA/IUCC
Jianbin Fang, Peng Zhang, Tao Tang, Chun Huang, Canqun Yang
2017 J jnl
LU factorization on heterogeneous systems: an energy-efficient approach towards high performance.
Computing
Cheng Chen, Jianbin Fang, Tao Tang, Canqun Yang
2017 J jnl
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
Jing Chen, Jianbin Fang, Tao Tang, Canqun Yang
2016 B conf
An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems.
ICPADS
Canqun Yang, Cheng Chen, Tao Tang, Xuhao Chen, Jianbin Fang, Jingling Xue
2016 C conf
Evaluating Multi-core and Many-Core Architectures through Accelerating an Alternating Direction Implicit CFD Solver.
ISPDC
Liang Deng, Jianbin Fang, Fang Wang, Hanli Bai
2016 J jnl
Evaluating Multiple Streams on Heterogeneous Platforms.
Parallel Process. Lett.
Jianbin Fang, Peng Zhang, Zhaokui Li, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
2016 — conf
Evaluating the Performance Impact of Multiple Streams on the MIC-Based Heterogeneous Platform.
IPDPS Workshops
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
2016 J jnl
Evaluating the Performance Impact of Multiple Streams on the MIC-based Heterogeneous Platform.
CoRR
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Cheng Chen, Canqun Yang
2016 — conf
High Performance Parallel Graph Coloring on GPGPUs.
IPDPS Workshops
Pingfan Li, Xuhao Chen, Zhe Quan, Jianbin Fang, Huayou Su, Tao Tang, Canqun Yang
2016 C conf
Streaming Applications on Heterogeneous Platforms.
NPC
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang
2016 J jnl
Streaming Applications on Heterogeneous Platforms.
CoRR
Zhaokui Li, Jianbin Fang, Tao Tang, Xuhao Chen, Canqun Yang
2015 J jnl
Evaluating vector data type usage in OpenCL kernels.
Concurr. Comput. Pract. Exp.
Jianbin Fang, Ana Lucia Varbanescu, Xiangke Liao, Henk J. Sips
2015 — conf
High Performance Computing of Fast Independent Component Analysis for Hyperspectral Image Dimensionality Reduction on MIC-Based Clusters.
ICPP Workshops
Minquan Fang, Yi Yu, Weimin Zhang, Heng Wu, Mingzhu Deng, Jianbin Fang
2015 J jnl
NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law.
CoRR
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
2015 J jnl
Realistic Performance Characterization of CFD Applications on Intel Many Integrated Core Architecture.
Comput. J.
Yonggang Che, Chuanfu Xu, Jianbin Fang, Yongxian Wang, Zhenghua Wang
2014 J jnl
Aristotle: A performance impact indicator for the OpenCL kernels using local memory.
Sci. Program.
Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2014 A conf
Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer.
IPDPS
Chuanfu Xu, Lilun Zhang, Xiaogang Deng, Jianbin Fang, Guangxue Wang, Wei Cao, Yonggang Che, Yongxian Wang, Wei Liu
2014 J jnl
Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer.
J. Comput. Phys.
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Jianbin Fang, Guangxue Wang, Yi Jiang, Wei Cao, Yonggang Che, Yongxian Wang, Zhenghua Wang, Wei Liu, Xinghua Cheng
2014 B conf
Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels.
ICPP
Jianbin Fang, Henk J. Sips, Pekka Jääskeläinen, Ana Lucia Varbanescu
2014 — conf
Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi.
IWBBIO
Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, José M. Cecilia, Horacio Emilio Pérez Sánchez
2014 B conf
Test-driving Intel Xeon Phi.
ICPE
Jianbin Fang, Henk J. Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu
2014 — —
Towards a Systematic Exploration of the Optimization Space for Many-Core Processors.
Jianbin Fang
2013 J jnl
An Empirical Study of Intel Xeon Phi.
CoRR
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu
2013 J jnl
An application-centric evaluation of OpenCL on multi-core CPUs.
Parallel Comput.
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2013 C conf
ELMO: A User-Friendly API to Enable Local Memory in OpenCL Kernels.
PDP
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips
2013 C conf
Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer.
ISC
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Yi Jiang, Wei Cao, Jianbin Fang, Yonggang Che, Yongxian Wang, Wei Liu
2013 C conf
Performance Traps in OpenCL for CPUs.
PDP
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2013 B conf
Sesame: A User-Transparent Optimizing Framework for Many-Core Processors.
CCGRID
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
2012 B conf
Accelerating Cost Aggregation for Real-Time Stereo Matching.
ICPADS
Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten
2012 — conf
Performance Gaps between OpenMP and OpenCL for Multi-core CPUs.
ICPP Workshops
Jie Shen, Jianbin Fang, Henk J. Sips, Ana Lucia Varbanescu
2011 B conf
A Comprehensive Performance Comparison of CUDA and OpenCL.
ICPP
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
2011 — conf
An Auto-tuning Solution to Data Streams Clustering in OpenCL.
CSE
Jianbin Fang, Ana Lucia Varbanescu, Henk J. Sips
2010 C conf
Optimizing Adaptive Synchronization in Parallel Simulators for Large-scale Parallel Systems and Applications.
CIT
Chuanfu Xu, Yonggang Che, Jianbin Fang, Zhenghua Wang