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Structured Review

Xilinx Inc vivado hls
<t>Vivado</t> block design—CNN IP integration on the Zynq-7000 (Processing System + CNN accelerator via AXI Interconnect).
Vivado Hls, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/vivado+hls/hls+vivado/pmc13166009-397-5-22
Average 86 stars, based on 1 article reviews
vivado hls - by Bioz Stars, 2026-09
86/100 stars

Images

1) Product Images from "Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA"

Article Title: Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA

Journal: Sensors (Basel, Switzerland)

doi: 10.3390/s26092822

Vivado block design—CNN IP integration on the Zynq-7000 (Processing System + CNN accelerator via AXI Interconnect).
Figure Legend Snippet: Vivado block design—CNN IP integration on the Zynq-7000 (Processing System + CNN accelerator via AXI Interconnect).

Techniques Used: Blocking Assay

Related Articles

Software:

Article Title: Efficient implementation of artificial neural networks on FPGAs using high-level synthesis and parallelism
Article Snippet: .. The software tools used for the analysis are Xilinx’s Vivado HLS, Vivado HLx, and SDK. ..

Generated:

Article Title: GAHLS: an optimized graph analytics based high level synthesis framework
Article Snippet: .. The baseline Verilog is generated by an HLS tool, LegUp 6.2 and Xilinx Vivado HLS. ..

Article Title: GAHLS: an optimized graph analytics based high level synthesis framework.
Article Snippet: .. The baseline Verilog is generated by an HLS tool, LegUp 6.213 and Xilinx Vivado HLS. ..

Article Title: Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA
Article Snippet: .. The IP block generated by Vivado HLS was integrated into a complete system design on the Zynq-7000 platform using Vivado IP Integrator (Xilinx, San Jose, CA, USA). illustrates the system block design, comprising the Zynq-7000 Processing System (PS), the custom CNN IP ( brain_tumor_cnn_0 ), the AXI Interconnect, and the interrupt management module ensuring bidirectional communication between the ARM processor and the FPGA hardware accelerator. ..

other:

Article Title: RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost
Article Snippet: An HLS approach utilizing tools such as Vivado HLS or Altera SDK to design FPGA accelerators is employed in prior work [54, 76]; our proposed design employs Vitis IDE from AMD/Xilinx.

Article Title: Generating source code adapted for implementation on FPGAs
Article Snippet: An exemplary implementation toolchain comprises Vivado HLS from Xilinx and bitstream conversion tools as part of the Vivado Design Suite, also from Xilinx.

Blocking Assay:

Article Title: Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA
Article Snippet: .. The IP block generated by Vivado HLS was integrated into a complete system design on the Zynq-7000 platform using Vivado IP Integrator (Xilinx, San Jose, CA, USA). illustrates the system block design, comprising the Zynq-7000 Processing System (PS), the custom CNN IP ( brain_tumor_cnn_0 ), the AXI Interconnect, and the interrupt management module ensuring bidirectional communication between the ARM processor and the FPGA hardware accelerator. ..



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Image Search Results


Vivado block design—CNN IP integration on the Zynq-7000 (Processing System + CNN accelerator via AXI Interconnect).

Journal: Sensors (Basel, Switzerland)

Article Title: Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA

doi: 10.3390/s26092822

Figure Lengend Snippet: Vivado block design—CNN IP integration on the Zynq-7000 (Processing System + CNN accelerator via AXI Interconnect).

Article Snippet: The IP block generated by Vivado HLS was integrated into a complete system design on the Zynq-7000 platform using Vivado IP Integrator (Xilinx, San Jose, CA, USA). illustrates the system block design, comprising the Zynq-7000 Processing System (PS), the custom CNN IP ( brain_tumor_cnn_0 ), the AXI Interconnect, and the interrupt management module ensuring bidirectional communication between the ARM processor and the FPGA hardware accelerator.

Techniques: Blocking Assay