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fpga fabric  (MathWorks Inc)


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    MathWorks Inc fpga fabric
    Fpga Fabric, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 241 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fpga+fabric/HDL+Coder/10__1109_slash_mie__2020__3032942-208-25-30
    Average 96 stars, based on 241 article reviews
    fpga fabric - by Bioz Stars, 2026-09
    96/100 stars

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    Article Title: Emerging Trends in Industrial Electronics: A Cross-Disciplinary View
    Article Snippet: 1932-4529/21©2021IEEE T he industrial electronics (IE) discipline includes a wide variety of technical areas devoted to the application of electronics and electrical sciences for the enhancement of industrial and manufacturing processes.. It inherently acts as a key enabling technology for a diverse number of applications and includes the latest developments in intelligent and computer control systems, robotics, factory communications and automation, flexible manufacturing, data acquisition and signal processing, vision systems, and power electronics, among others, as well as the educational and human factors involved.. This makes IE inherently multidisciplinary, and, with many interconnected synergies, it plays a key role as an enabling technology in multiple domestic, biomedical, transportation, and industrial applications.



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    Image Search Results


    Categorisation of image processing operations based on their memory and execution patterns [ <xref ref-type= 13 ] allow features of compute and memory patterns to be highlighted and therefore identifying what can be mapped into FPGA. " width="100%" height="100%">

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Categorisation of image processing operations based on their memory and execution patterns [ 13 ] allow features of compute and memory patterns to be highlighted and therefore identifying what can be mapped into FPGA.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques:

    Bandwidth/memory distribution in Xilinx Virtex-7 FPGA which highlight how bandwidth and computation improves as we near the datapath parts of the FPGA.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Bandwidth/memory distribution in Xilinx Virtex-7 FPGA which highlight how bandwidth and computation improves as we near the datapath parts of the FPGA.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques:

    Computing resources (DSP48E1) and BRAM memory resources for a range of Xilinx Artix-7, Kintex-7, Virtex-7  FPGA  families implemented using 28nm CMOS technology.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Computing resources (DSP48E1) and BRAM memory resources for a range of Xilinx Artix-7, Kintex-7, Virtex-7 FPGA families implemented using 28nm CMOS technology.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques:

    FPGA datapath models resulting from . ( a ) Programmable ALU corresponding to configuration ①; ( b ) Fine-grained processor corresponding to configuration ②; ( c ) Coarse-grained processor corresponding to configuration ③.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: FPGA datapath models resulting from . ( a ) Programmable ALU corresponding to configuration ①; ( b ) Fine-grained processor corresponding to configuration ②; ( c ) Coarse-grained processor corresponding to configuration ③.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques:

    Impact of the various datapath models ①, ②, ③ on f m a x across Xilinx Artix-7, Kintex-7 and Virtex-7 FPGA families.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Impact of the various datapath models ①, ②, ③ on f m a x across Xilinx Artix-7, Kintex-7 and Virtex-7 FPGA families.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques:

    Block diagram of FPGA-based soft core Image Processing Processor (IPPro) datapath highlighting where relevant the fixed Xilinx FPGA resources utilised by the approach.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Block diagram of FPGA-based soft core Image Processing Processor (IPPro) datapath highlighting where relevant the fixed Xilinx FPGA resources utilised by the approach.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques: Blocking Assay

    Comparison of IPPro against other  FPGA-based  processor architectures in terms of FPGA resources used and timing results achieved.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Comparison of IPPro against other FPGA-based processor architectures in terms of FPGA resources used and timing results achieved.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques: Comparison

    Performance comparison of IPPro and MicroBlaze implementations ( a ) Comparison of micro-benchmarks. ( b ) Area comparison.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Performance comparison of IPPro and MicroBlaze implementations ( a ) Comparison of micro-benchmarks. ( b ) Area comparison.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques: Comparison

    Power, resource and combined efficiency comparisons for k -means clustering for Xilinx Zynq XC7Z045 Kintex-7  FPGA,  nVIDIA GPU GTX980, embedded ARM Mali-T628 GPU and embedded ARM Cortex-A7 CPU.

    Journal: Journal of Imaging

    Article Title: FPGA-Based Processor Acceleration for Image Processing Applications

    doi: 10.3390/jimaging5010016

    Figure Lengend Snippet: Power, resource and combined efficiency comparisons for k -means clustering for Xilinx Zynq XC7Z045 Kintex-7 FPGA, nVIDIA GPU GTX980, embedded ARM Mali-T628 GPU and embedded ARM Cortex-A7 CPU.

    Article Snippet: The IPPro architecture has been coded in Verilog HDL and synthesized using Xilinx Vivado v2015.4 design suite on Kintex-7 FPGA fabric giving a f m a x of 337 MHz. shows that the IPPro architecture has achieved 1.6–3.3× times higher operating frequency ( f m a x ) than the relevant processors highlighted in by adopting the approach presented in .

    Techniques: