Intel® FPGA AI Suite: SoC Design Example User Guide

Download PDF
ID 768979
Date 7/03/2023
Public

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents
Document Table of Contents x
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
2. About the SoC Design Example x
2.1. Intel® FPGA AI Suite SoC Design Example Prerequisites
3. Intel® FPGA AI Suite SoC Design Example Quick Start Tutorial x
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
3.3. (Optional) Create an SD Card Image (.wic) x
3.3.1. Installing Prerequisite Software for Building an SD Card Image 3.3.2. Building the FPGA Bitstreams 3.3.3. Installing HPS Disk Image Build Prerequisites 3.3.4. (Optional) Downloading the ImageNet Categories 3.3.5. Building the SD Card Image
3.5. Preparing the Intel® Arria® 10 SX SoC FPGA Development Kit for the Intel® FPGA AI Suite SoC Design Example x
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
3.6. Adding Compiled Graphs (AOT files) to the SD Card x
3.6.1. Preparing OpenVINO™ Model Zoo 3.6.2. Preparing a Model 3.6.3. Compiling the Graphs 3.6.4. Copying the Compiled Graphs to the SD card
3.7. Running the Demonstration Applications x
3.7.1. Running the M2M Mode Demonstration Application 3.7.2. Running the S2M Mode Demonstration Application
4. Intel® FPGA AI Suite SoC Design Example Run Process x
4.1. Exporting Trained Graphs from Source Frameworks 4.2. Compiling Exported Graphs Through the Intel® FPGA AI Suite
5. Intel® FPGA AI Suite SoC Design Example Build Process x
5.1. Building the Intel® Quartus® Prime Project 5.2. Building the Bootable SD Card Image (.wic)
5.1. Building the Intel® Quartus® Prime Project x
5.1.1. Intel® Quartus® Prime Build Flow 5.1.2. Build Script Options 5.1.3. Build Directory
5.1.1. Intel® Quartus® Prime Build Flow x
5.1.1.1. Build Synchronization of FPGA with Software
5.1.3. Build Directory x
5.1.3.1. The create_project.bash Script 5.1.3.2. The generate_sof.bash Script 5.1.3.3. The generate_rbf.bash Script 5.1.3.4. The build_stream_controller.sh Script
6. Intel® FPGA AI Suite SoC Design Example Intel® Quartus® Prime System Architecture x
6.1. Intel® FPGA AI Suite SoC Design Example Inference Sequence Overview 6.2. Memory-to-Memory (M2M) Variant Design 6.3. Streaming-to-Memory (S2M) Variant Design 6.4. Top Level 6.5. The SoC Design Example Platform Designer System 6.6. Fabric EMIF Design Component 6.7. PLL Configuration
6.2. Memory-to-Memory (M2M) Variant Design x
6.2.1. The mSGDMA Intel FPGA IP 6.2.2. RAM considerations
6.3. Streaming-to-Memory (S2M) Variant Design x
6.3.1. Streaming Enablement for Intel® FPGA AI Suite 6.3.2. Nios® V Subsystem 6.3.3. Streaming System Operation 6.3.4. Resolving Input Rate Mismatches Between the Intel® FPGA AI Suite IP and the Streaming Input 6.3.5. The Layout Transform IP as an Application-Specific Block
6.3.3. Streaming System Operation x
6.3.3.1. Streaming System Buffer Management 6.3.3.2. Streaming System Inference Job Management
6.3.5. The Layout Transform IP as an Application-Specific Block x
6.3.5.1. Layout Transform Considerations 6.3.5.2. Layout Transform IP Register Map 6.3.5.3. Layout Transform Configuration Options
6.4. Top Level x
6.4.1. Clock Domains
6.5. The SoC Design Example Platform Designer System x
6.5.1. The dla_0 Platform Designer Layer (dla.qsys) 6.5.2. The hps_0 Platform Designer Layer (hps.qys)
7. Intel® FPGA AI Suite Soc Design Example Software Components x
7.1. Yocto Build and Runtime Linux Environment 7.2. Intel® FPGA AI Suite Runtime Plugin 7.3. Runtime Interaction with the MMD Layer 7.4. MMD Layer Hardware Interaction Library
7.1. Yocto Build and Runtime Linux Environment x
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
7.4. MMD Layer Hardware Interaction Library x
7.4.1. MMD Layer Hardware Interaction Library Class mmd_device 7.4.2. MMD Layer Hardware Interaction Library Class uio_device 7.4.3. MMD Layer Hardware Interaction Library Class dma_device
8. Streaming-to-Memory (S2M) Streaming Demonstration x
8.1. Nios® Subsystem 8.2. Building the Stream Controller Module 8.3. Building the Streaming Demonstration Applications 8.4. Running the Streaming Demonstration
8.1. Nios® Subsystem x
8.1.1. Stream Controller Communication Protocol 8.1.2. Buffer Flow in Streaming Mode using Nios® V Software Scheduler
8.1.2. Buffer Flow in Streaming Mode using Nios® V Software Scheduler x
8.1.2.1. Review of M2M mode 8.1.2.2. External Streaming Mode Buffer Flow 8.1.2.3. Nios® V Stream Controller State Machine Buffer Flow
8.4. Running the Streaming Demonstration x
8.4.1. The streaming_inference_app Application 8.4.2. The image_streaming_app Application
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

8.1.1. Stream Controller Communication Protocol

The Intel® FPGA AI Suite OpenVINO™ plugin running on the HPS system includes a coredla-device component which in turn has a stream controller interface if the "external streaming" flag is enabled by the inference application. This stream controller interface manages the communications from the HPS end to the stream controller microcode module running on the Nios® V microcontroller.

Messages are sent between the HPS and the Nios® V microcontroller using the mailbox RAM which is shared between the two. In the HPS, this RAM is at physical address 0xff210000, and in the Nios® V microcontroller, it is at address 0x40000. The RAM is 4K bytes. The lower 2K is used to send messages from the HPS to the Nios® V microcontroller, and the upper 2K is used to send messages from the Nios® V microcontroller to the HPS.

Message flow is always initiated from the HPS end, and the Nios® V microcontroller always responds with a message. Therefore, after sending any message the HPS end waits until it receives a reply message. This can contain payload data (for example, status information) or just a "no operation" message with no payload.

Each message has a 3 x uint32_t header, which consists of a messageReadyMagicNumber field, a messageType field, and a sequenceID field. This header is followed by a payload, the size of which depends on the messageType. The messageReadyMagicNumber field is set to the value of 0x55225522 when the message is ready to be received

When a message is to be sent, all of the buffer apart from the messageReadyMagicNumber is first written to the mailbox RAM. The sequenceID increments by 1 with every message sent. Then the messageReadyMagicNumber is written. The sending end then waits for the value of messageReadyMagicNumber to change to the value of the sequenceID. This is set by the stream controller microcode module and indicates that the message has been received and processed by the receiving end.

Figure 11. Stream Controller Mailbox RAM and Message Packets
Level Two Title