Jianbin Fang

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Ana Lucia Varbanescu(Associate) Professor, University of Twente (and University of Amsterdam)Verified email at utwente.nl
Henk SipsEm. Professor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl
xu chuanfuNational University of Defense TechnologyVerified email at nudt.edu.cn
Zheng WangProfessor of Intelligent Software Technology, University of LeedsVerified email at leeds.ac.uk
Jie ShenDelft University of TechnologyVerified email at tudelft.nl
Xuhao ChenCSAIL, MITVerified email at mit.edu
Donglin ChenNational University of Defense TechnologyVerified email at nudt.edu.cn
Jing ChenChalmers University of TechnologyVerified email at chalmers.se
Weifeng Liu (刘伟峰)Professor in Computer Science, China University of Petroleum-BeijingVerified email at cup.edu.cn
Yansong FengPeking UniversityVerified email at pku.edu.cn
Dezun Dong (董德尊)Professor, School of Computer Science, National University of Defense TechnologyVerified email at nudt.edu.cn
Jie RenShaanxi Normal UniversityVerified email at snnu.edu.cn
Lei LuoNational University of Denfense TechnologyVerified email at nudt.edu.cn
Juan ChenNational University of Defense Technology, ChinaVerified email at nudt.edu.cn
Pekka JääskeläinenAssociate Professor in Tampere University, Principal Engineer in IntelVerified email at tuni.fi
Dongxiao ZhuAssociate Professor of Computer Science, Wayne State UniversityVerified email at wayne.edu
Horacio Pérez-SánchezPrincipal Investigator BIO-HPC Research Group, Universidad Católica de Murcia (UCAM)Verified email at ucam.edu
José M. CeciliaUniversitat Politècnica de Valencia (UPV)Verified email at disca.upv.es
Zhanyong TangNorthwest University, Xi'an, ChinaVerified email at nwu.edu.cn
Huanting WangUniversity of Leeds, U.K.Verified email at leeds.ac.uk

Jianbin Fang

Assistant Professor, National University of Defense Technology

Verified email at nudt.edu.cn - Homepage

Parallel Programming Heterogeneous Computing OpenCL Compilers


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A comprehensive performance comparison of CUDA and OpenCL J Fang, AL Varbanescu, H Sips 2011 International Conference on Parallel Processing, 216-225, 2011	432	2011
Test-Driving Intel Xeon Phi J Fang, H Sips, L Zhang, C Xu, C Yonggang, AL Varbanescu The 5th ACM/SPEC International Conference on Performance Engineering, 2014	122	2014
Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer C Xu, X Deng, L Zhang, J Fang, G Wang, Y Jiang, W Cao, Y Che, Y Wang, ... Journal of Computational Physics 278, 275-297, 2014	88	2014
Performance gaps between OpenMP and OpenCL for multi-core CPUs J Shen, J Fang, H Sips, AL Varbanescu 2012 41st International Conference on Parallel Processing Workshops, 116-125, 2012	73	2012
An empirical study of intel xeon phi J Fang, AL Varbanescu, H Sips, L Zhang, Y Che, C Xu arXiv preprint arXiv:1310.5842, 2013	60	2013
Performance traps in OpenCL for CPUs J Shen, J Fang, H Sips, AL Varbanescu 2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013	57	2013
An application-centric evaluation of OpenCL on multi-core CPUs J Shen, J Fang, H Sips, AL Varbanescu Parallel Computing 39 (12), 834-850, 2013	56	2013
Moving from exascale to zettascale computing: challenges and techniques X Liao, K Lu, C Yang, J Li, Y Yuan, M Lai, L Huang, P Lu, J Fang, J Ren, ... Frontiers of Information Technology & Electronic Engineering 19, 1236-1244, 2018	42	2018
Auto-tuning Streamed Applications on Intel Xeon Phi P Zhang, J Fang, T Tang, C Yang, Z Wang The 31st IEEE International Parallel & Distributed Processing Symposium, 2018	30	2018
Parallel programming models for heterogeneous many-cores: a comprehensive survey J Fang, C Huang, T Tang, Z Wang CCF Transactions on High Performance Computing 2, 382-400, 2020	29	2020
Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures S Chen, J Fang, D Chen, C Xu, Z Wang The 20th IEEE International Conference on High Performance Computing and …, 2018	29	2018
Benchmarking intel xeon phi to guide kernel design J Fang, AL Varbanescu, H Sips, L Zhang, Y Che, C Xu	29	2013
Deep learning research and development platform: Characterizing and scheduling with qos guarantees on gpu clusters Z Chen, W Quan, M Wen, J Fang, J Yu, C Zhang, L Luo IEEE Transactions on Parallel and Distributed Systems 31 (1), 34-50, 2019	27	2019
Proteus: Network-aware web browsing on heterogeneous mobile systems J Ren, X Wang, J Fang, Y Feng, D Zhu, Z Luo, J Zheng, Z Wang Proceedings of the 14th International Conference on emerging Networking …, 2018	25	2018
Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels J Fang, H Sips, P Jaaskelainen, AL Varbanescu The 43rd International Conference on Parallel Processing (ICPP’14), 2014	25	2014
Optimizing Sparse Matrix-Vector Multiplications on An ARMv8-based Many-Core Architecture D Chen, J Fang, S Chen, C Xu, Z Wang International Journal of Parallel Programming, 2018	22	2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference Q Qing, J Ren, J Yu, L Gao, H Wang, J Zheng, Y Feng, J Fang, Z Wang The 16th IEEE International Symposium on Parallel and Distributed Processing …, 2018	21	2018
Aristotle: A performance impact indicator for the OpenCL kernels using local memory J Fang, H Sips, AL Varbanescu Scientific Programming, 239-257, 2014	21	2014
Deep program structure modeling through multi-relational graph-based learning G Ye, Z Tang, H Wang, D Fang, J Fang, S Huang, Z Wang Proceedings of the ACM International conference on parallel architectures …, 2020	20	2020
Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi HPS Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, Jose M. Cecilia The 2nd International Work-Conference on Bioinformatics and Biomedical …, 2014	20*	2014

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