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Online version of this manual and other related documents can be found at https://wiki.trenz-electronic.de/display/PD/Trenz+Electronic+Documentation |
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Table of contents
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General Design description
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Hardware Support
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Basic description of TE Board Part Files is available on TE Board Part Files.
Complete List is available on <design name>/board_files/*_board_files.csv
Design supports following modules:
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Design supports following carriers:
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Additional HW Requirements:
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For general structure and of the reference design, see Project Delivery
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<tr> <th>File </th> <th>File-Extension</th> <th>Description </th> </tr>
<tr> <td>BIF-File </td> <td>*.bif </td> <td>File with description to generate Bin-File </td> </tr>
<tr> <td>BIN-File </td> <td>*.bin </td> <td>Flash Configuration File with Boot-Image (Zynq-FPGAs) </td> </tr>
<tr> <td>BIT-File </td> <td>*.bit </td> <td>FPGA Configuration File </td> </tr>
<tr> <td>DebugProbes-File </td> <td>*.ltx </td> <td>Definition File for Vivado/Vivado Labtools Debugging Interface </td> </tr>
<tr> <td>Debian SD-Image </td> <td>*.img </td> <td>Debian Image for SD-Card </td> </tr>
<tr> <td>Diverse Reports </td> <td> --- </td> <td>Report files in different formats </td> </tr>
<tr> <td>Hardware-Platform-Specification-Files</td> <td>*.hdf </td> <td>Exported Vivado Hardware Specification for SDK/HSI </td> </tr>
<tr> <td>LabTools Project-File </td> <td>*.lpr </td> <td>Vivado Labtools Project File </td> </tr>
<tr> <td>MCS-File </td> <td>*.mcs </td> <td>Flash Configuration File with Boot-Image (MicroBlaze or FPGA part only) </td> </tr>
<tr> <td>MMI-File </td> <td>*.mmi </td> <td>File with BRAM-Location to generate MCS or BIT-File with *.elf content (MicroBlaze only) </td> </tr>
<tr> <td>OS-Image </td> <td>*.ub </td> <td>Image with Linux Kernel (On Petalinux optional with Devicetree and RAM-Disk) </td> </tr>
<tr> <td>Software-Application-File </td> <td>*.elf </td> <td>Software Application for Zynq or MicroBlaze Processor Systems </td> </tr>
<tr> <td>SREC-File </td> <td>*.srec </td> <td>Converted Software Application for MicroBlaze Processor Systems </td> </tr>
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Debian SD-Image
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*.img
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Debian Image for SD-Card
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MCS-File
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*.mcs
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Flash Configuration File with Boot-Image (MicroBlaze or FPGA part only)
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MMI-File
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*.mmi
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File with BRAM-Location to generate MCS or BIT-File with *.elf content (MicroBlaze only)
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SREC-File
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*.srec
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Converted Software Application for MicroBlaze Processor Systems
Reference Design is only usable with the specified Vivado/SDK/PetaLinux/SDx version. Do never use different Versions of Xilinx Software for the same Project.
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Reference Design is available on:
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Reference Design is available with and without prebuilt files. It's recommended to use TE prebuilt files for first lunch. |
Trenz Electronic provides a tcl based built environment based on Xilinx Design Flow.
See also:Vivado/SDK/SDSoC
The Trenz Electronic FPGA Reference Designs are TCL-script based project. Command files for execution will be generated with "_create_win_setup.cmd" on Windows OS and "_create_linux_setup.sh" on Linux OS.
TE Scripts are only needed to generate the vivado project, all other additional steps are optional and can also executed by Xilinx Vivado/SDK GUI. For currently Scripts limitations on Win and Linux OS see: Project Delivery Currently limitations of functionality
SDSoC (only tested on Win OS)
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Check Module and Carrier TRMs for proper HW configuration before you try any design. |
Xilinx documentation for programming and debugging: Vivado/SDK/SDSoC-Xilinx Software Programming and Debugging
Not used on this Example.
Not used on this Example.
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set_property BITSTREAM.GENERAL.COMPRESS TRUE [current_design]
set_property CONFIG_VOLTAGE 3.3 [current_design]
set_property CFGBVS VCCO [current_design]
set_property BITSTREAM.CONFIG.USR_ACCESS TIMESTAMP [current_design] |
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set_property PACKAGE_PIN K2 [get_ports {fclk[0]}]
set_property IOSTANDARD LVCMOS18 [get_ports {fclk[0]}]
set_property CLOCK_DEDICATED_ROUTE FALSE [get_nets fclk_IBUF[0]] |
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For SDK project creation, follow instructions from:
Xilinx default FSBL
U-Boot.elf is generated with PetaLinux. SDK/HSI is used to generate Boot.bin.
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Script App to load init.sh from SD Card if available.
See: \os\petalinux\project-spec\meta-user\recipes-apps\startup\files
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No additional software is needed.
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Description currently not available.
SDSoC platform includes 21 demo projects demonstrating optimization techniques for Standalone and Linux targets with HW acceleration or in SW for fast compilation and debug. These projects have been downloaded and installed into the SDSoC platform from https://github.com/Xilinx/SDSoC_Examples
There are 3 larger Linux demo projects demonstrating video processing with data I/O from file to file. Source code of these projects have been installed into this platform from the Xilinx SDSoC 2016.4 release:
These larger Linux demo projects demonstrate video processing with data I/O from file to file. Source code of these projects have been installed into this platform from demos present in the Xilinx SDSoC 2016.4 release.
Compilation steps in the SDSoC 2017.1 is identical to above described examples. File I/O demos support only the Linux target.
These three files use as an input larger video files. These files have to be present on the SD card as an input. Algorithms write output file to the SD card. These files can be visualized by YUV Player Deluxe and other players. To reduce size of the project, the video data files are not included.
Video input files can be found in the Xilinx SDSoC 2016.4 distribution:
This example shows how to use array partitioning to improve performance of a hardware function.
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This is a simple vector increment example which demonstrates usage of AXI4-master interface for burst read and write.
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This is a simple example of RGB to HSV conversion to demonstrate Custom Data Type usage in hardware accelerator. Xilinx HLS compiler supports custom data type to operate within the hardware function and also it acts as a memory interface between PL to DDR.
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This is a simple example of matrix multiplication (Row x Col) to demonstrate random data access pattern.
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This is a simple example to demonstrate inter dependence attribute using vertical convolution example. Using inter dependence attribute user can provide additional dependency details to compiler which allow compiler to perform unrolling/pipelining to get better performance.
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This is a simple example of matrix multiplication with matrix addition (Out = (A x B) + C) to demonstrate direct connection which helps to achieve increasing in system parallelism and concurrency.
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This example demonstrates how to use Scatter-Gather DMAs for data transfer to/from hardware accelerator.
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This example demonstrates how to insert Simple DMAs for data transfer between User program and hardware accelerator.
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This is a simple example of accessing full data from 2D array.
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This is a basic hello world kind of example which demonstrates how to achieve vector addition using hardware function.
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This is a simple example of vector addition to demonstrate how to utilize both ports of Local Memory.
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This example will demonstrate how to fuse two loops into one to improve the performance of a C/C++ hardware function.
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This nearest neighbor example is to demonstrate how to achieve better performance using perfect loop.
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This example demonstrates how loop pipelining can be used to improve the performance of a hardware function.
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This is a simple example of matrix multiplication (Row x Col) to demonstrate how to achieve better pipeline II factor by loop reordering.
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This is a simple example of accessing each row of data from 2D array.
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This example demonstrates how to shift values in each clock cycle.
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This is a simple example of matrix multiplication (Row x Col) to help developers learn systolic array based algorithm design. Note : Systolic array based algorithm design is well suited for FPGA.
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This is a simple example which demonstrates sys_port usage.
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This is a simple example of vector addition to demonstrate Wide Memory Access using structure data type of 128bit wide. Based on input argument type, sds++ compiler will figure out the memory interface datawidth of hardware accelerator.
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This is a simple example of accessing window of data from 2D array.
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Linux video processing application that reads input video from a file and writes out the output video to a file. Video processing includes Motion Adaptive Noise Reduction (MANR) followed by a Sobel filter for edge detection. You can run it by supplying a 1080p YUV422 file as input with limiting number of frames to a maximum of 20 frames.
Key Concepts:
Select the "File IO Video Processing" template an compile for Linux target as project te22. Copy result to root of SD card. Copy also the input file input.yuv (82 944 000 bytes) to the root of the SD card. Login and cd to /media Run demo from terminal or from display+keyboard by comman ./te22.elf ./input.yuv 20 3 ./output.yuv
The output.yuv file contains 20 frames of 1080p vido in YUV422 format with computed edges. Copy output.yuv file to PC and visualise it in yuvplayer (size 1920x1080 colour YUV422).
Linux video processing application that reads input video from a file and writes out the output video to a file. Video processing performs LK Dense Optical Flow over two Full HD frames video file. You can run it by supplying a 1080p YUV422 file route85_1920x1080.yuv as input.
Key Concept:s
Select the "File IO Dense Optical Flow" template an compile for Linux target as project te23. Copy result to root of SD card. Copy also the input file route85_1920x1080.yuv (8 294 400 bytes) to the root of the SD card. Login and cd to /media Run demo from terminal or from display+keyboard by command ./te23.elf
The OptFlow_1920x1080.yuv file is generated and stored on the SD card. It contains one 1080p frame in YUV422 format with computed dense optical flow vectors. Copy OptFlow_1920x1080.yuv file to PC and visualise it in yuvplayer (size 1920x1080 colour YUV422).
Linux video processing application that reads input video from a file and writes out the output video to a file. Video processing performs Stereo Block Matching to calculate depth in a single sample stereo video file desk_1280x720.yuv in YUV422 format as input and single frame Disparity_640x720.yuv in YUV422 format as output, indicating the depth of objects.
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Select the "File IO Stereo Block Matching" template an compile for Linux target as project te24. Copy result to root of SD card. Copy also the input file desk_1280x720.yuv (1 843 200 bytes) to the root of the SD card. Login and cd to /media Run demo from terminal or from display+keyboard by command ./te24.elf
The Disparity_640x720.yuv file is generated and stored on the SD card. It contains one 640x720 frame in YUV422 format indicating the depth of objects. Copy Disparity_640x720.yuv file to PC and visualise it in yuvplayer (size 640x720 colour YUV422) The input file desk_1280x720.yuv can be visualised by yuvplayer (size 1280x720 colour YUV422). It contains side by side two colour frames from a stereo camera.
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