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Image Search Results
Journal: PLoS ONE
Article Title: Research on OpenCL optimization for FPGA deep learning application
doi: 10.1371/journal.pone.0222984
Figure Lengend Snippet: Parameters of a single convolution layer.
Article Snippet: Moreover, this paper also tests the performance of the
Techniques:
Journal: PLoS ONE
Article Title: Research on OpenCL optimization for FPGA deep learning application
doi: 10.1371/journal.pone.0222984
Figure Lengend Snippet: The specific code optimization of convolution multiplication calculation.
Article Snippet: Moreover, this paper also tests the performance of the
Techniques:
Journal: PLoS ONE
Article Title: Research on OpenCL optimization for FPGA deep learning application
doi: 10.1371/journal.pone.0222984
Figure Lengend Snippet: Performance comparison of the different optimization programs in the convolution layer OpenCL.
Article Snippet: Moreover, this paper also tests the performance of the
Techniques: Comparison
Journal: PLoS ONE
Article Title: Research on OpenCL optimization for FPGA deep learning application
doi: 10.1371/journal.pone.0222984
Figure Lengend Snippet: Performance comparison of different convolution scale optimization program with Xilinx company.
Article Snippet: Moreover, this paper also tests the performance of the
Techniques: Comparison
Journal: PLoS ONE
Article Title: Research on OpenCL optimization for FPGA deep learning application
doi: 10.1371/journal.pone.0222984
Figure Lengend Snippet: Optimized speed-up ratio of different scale convolution.
Article Snippet: Moreover, this paper also tests the performance of the
Techniques: