Jianbin Fang
Title
Cited by
Cited by
Year
A comprehensive performance comparison of CUDA and OpenCL
J Fang, AL Varbanescu, H Sips
2011 International Conference on Parallel Processing, 216-225, 2011
3732011
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
1142014
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
672012
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
562014
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
562013
Performance traps in OpenCL for CPUs
J Shen, J Fang, H Sips, AL Varbanescu
2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013
512013
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
442013
Benchmarking intel xeon phi to guide kernel design
J Fang, AL Varbanescu, H Sips, L Zhang, Y Che, C Xu
Delft University of Technology Parallel and Distributed Systems Report …, 2013
262013
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 (10), 1236-1244, 2018
202018
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
202018
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
182014
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
17*2014
Aristotle: A performance impact indicator for the OpenCL kernels using local memory
J Fang, H Sips, AL Varbanescu
Scientific Programming, 239-257, 2014
172014
An auto-tuning solution to data streams clustering in opencl
J Fang, AL Varbanescu, H Sips
2011 14th IEEE International Conference on Computational Science and …, 2011
172011
Evaluating vector data type usage in OpenCL kernels
J Fang, AL Varbanescu, X Liao, H Sips
Concurrency and Computation: Practice and Experience 27 (17), 4586-4602, 2015
162015
Sesame: a user-transparent optimizing framework for many-core processors
J Fang, AL Varbanescu, H Sips
2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013
162013
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
152018
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
142018
ELMO: A User-Friendly API to enable local memory in OpenCL kernels
J Fang, AL Varbanescu, J Shen, H Sips
2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013
132013
LU factorization on heterogeneous systems: an energy-efficient approach towards high performance
C Chen, J Fang, T Tang, C Yang
Computing 99 (8), 791-811, 2017
122017
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Articles 1–20