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Benchmarking the GPU memory at the warp level.

M. Fang, J. Fang, W. Zhang, H. Zhou, J. Liao, and Y. Wang. Parallel Computing, (2018)

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Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture.D. Chen, J. Fang, S. Chen, C. Xu, and Z. Wang. International Journal of Parallel Programming, 47 (3): 418-432 (2019)Benchmarking the GPU memory at the warp level.M. Fang, J. Fang, W. Zhang, H. Zhou, J. Liao, and Y. Wang. Parallel Computing, (2018)Proteus: network-aware web browsing on heterogeneous mobile systems.J. Ren, X. Wang, J. Fang, Y. Feng, D. Zhu, Z. Luo, J. Zheng, and Z. Wang. CoNEXT, page 379-392. ACM, (2018)Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels.J. Fang, H. Sips, P. Jääskeläinen, and A. Varbanescu. ICPP, page 162-171. IEEE Computer Society, (2014)Optimizing Adaptive Synchronization in Parallel Simulators for Large-scale Parallel Systems and Applications.C. Xu, Y. Che, J. Fang, and Z. Wang. CIT, page 131-138. IEEE Computer Society, (2010)An Energy-Efficient Implementation of LU Factorization on Heterogeneous Systems.C. Yang, C. Chen, T. Tang, X. Chen, J. Fang, and J. Xue. ICPADS, page 971-979. IEEE Computer Society, (2016)Evaluating vector data type usage in OpenCL kernels.J. Fang, A. Varbanescu, X. Liao, and H. Sips. Concurrency and Computation: Practice and Experience, 27 (17): 4586-4602 (2015)An application-centric evaluation of OpenCL on multi-core CPUs.J. Shen, J. Fang, H. Sips, and A. Varbanescu. Parallel Computing, 39 (12): 834-850 (2013)NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law.R. Andrawis, J. Bermeo, J. Charles, J. Fang, J. Fonseca, Y. He, G. Klimeck, Z. Jiang, T. Kubis, D. Mejia and 5 other author(s). CoRR, (2015)Aristotle: A performance impact indicator for the OpenCL kernels using local memory.J. Fang, H. Sips, and A. Varbanescu. Scientific Programming, 22 (3): 239-257 (2014)

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Benchmarking the GPU memory at the warp level.

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PUMA

Disambiguation of "Fang, Jianbin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Benchmarking the GPU memory at the warp level.

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Benchmarking the GPU memory at the warp level.