|
Xilinx Inc
convolution layer optimization program ![]() Convolution Layer Optimization Program, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/convolution layer optimization program/product/Xilinx Inc Average 90 stars, based on 1 article reviews
convolution layer optimization program - by Bioz Stars,
2026-03
90/100 stars
|
Buy from Supplier |
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: