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1. Intel® FPGA AI Suite SoC Design Example User Guide
2. About the SoC Design Example
3. Intel® FPGA AI Suite SoC Design Example Quick Start Tutorial
4. Intel® FPGA AI Suite SoC Design Example Run Process
5. Intel® FPGA AI Suite SoC Design Example Build Process
6. Intel® FPGA AI Suite SoC Design Example Intel® Quartus® Prime System Architecture
7. Intel® FPGA AI Suite Soc Design Example Software Components
8. Streaming-to-Memory (S2M) Streaming Demonstration
A. Intel® FPGA AI Suite SoC Design Example User Guide Archives
B. Intel® FPGA AI Suite SoC Design Example User Guide Document Revision History
3.1. Initial Setup
3.2. Initializing a Work Directory
3.3. (Optional) Create an SD Card Image (.wic)
3.4. Writing the SD Card Image (.wic) to an SD Card
3.5. Preparing the Intel® Arria® 10 SX SoC FPGA Development Kit for the Intel® FPGA AI Suite SoC Design Example
3.6. Adding Compiled Graphs (AOT files) to the SD Card
3.7. Running the Demonstration Applications
3.5.1. Confirming Intel® Arria® 10 SX SoC FPGA Development Kit Board Settings
3.5.2. Connect the Intel® Arria® 10 SX SoC FPGA Development Kit to the Host Development System
3.5.3. Configuring the Intel® Arria® 10 SX SoC FPGA Development Kit UART Connection
3.5.4. Determining the Intel® Arria® 10 SX SoC FPGA Development Kit IP Address
7.1.1. Yocto Recipe: recipes-core/images/coredla-image.bb
7.1.2. Yocto Recipe: recipes-bsp/u-boot/u-boot-socfpga_%.bbapend
7.1.3. Yocto Recipe: recipes-drivers/msgdma-userio/msgdma-userio.bb
7.1.4. Yocto Recipe: recipes-drivers/uio-devices/uio-devices.bb
7.1.5. Yocto Recipe: recipes-kernel/linux/linux-socfpga-lts_5.15.bbappend
7.1.6. Yocto Recipe: wic
6. Intel® FPGA AI Suite SoC Design Example Intel® Quartus® Prime System Architecture
The Intel® FPGA AI Suite SoC design examples provide two variants for demonstrating the Intel® FPGA AI Suite operation.
All designs are Platform Designer based systems.
There is a single top-level Verilog RTL file for instantiating the Platform Designer system.
These two variants demonstrate Intel® FPGA AI Suite operations in the two most common usage scenarios. These scenarios are as follows:
- Memory to Memory (M2M): In this variant, the following steps occur:
- The Arm* processor host presents input data buffers to the Intel® FPGA AI Suite that are stored in a system memory.
- The Intel® FPGA AI Suite IP performs an inference on these buffers.
- The host system collects the inference results.
- Streaming to Memory (S2M): This variant offers a superset of the M2M functionality. The S2M variant demonstrates sending streaming input source data into the Intel® FPGA AI Suite IP and then collecting the results. An Avalon® streaming input captures live input data, stores the data into system memory, and then automatically triggers Intel® FPGA AI Suite IP inference operations.
You can use this variant as a starting point for larger designs that stream input data to the Intel® FPGA AI Suite IP with minimal host intervention.