System Design
System Design involves architecting and integrating hardware and software components to build complete, functional solutions. In these sessions, learners will gain a holistic understanding of how processors, memory, programmable logic, and I/O interfaces come together to form complex embedded systems.
Designing PCIe Systems
Target Audience
Hardware designers, software engineers, and system architects who want to understand the deeper workings and create applications using the AMD PCI Express® solution.
Description
This workshop provides a detailed explanation of how to implement an AMD PCI Express core in custom applications to improve time to market with the PCIe® core design.
The emphasis is on:
- Constructing an AMD PCI Express system within the customer education reference design
- Enumerating various AMD PCI Express core products
- Leveraging key AMD advantages related to performance, latency, and bandwidth in PCI Express applications
- Identifying the advanced capabilities of the PCIe specification
Developing AI Inference Solutions
Target Audience
Software and hardware developers, AI/ML engineers, data scientists, and anyone who needs to accelerate their software applications using AMD devices.
Description
This workshop provides information on how to implement neural networks on cloud and edge platforms using the Vitis™ AI development platform.
The emphasis is on:
- Illustrating the Vitis AI tool flow
- Leveraging the architectural features of the Deep Learning Processor Unit (DPU)
- Optimizing models using the AI quantizer and AI compiler
- Utilizing the Vitis AI Library to optimize pre-processing and post-processing functions
- Creating a custom platform and application
- Deploying a design
- Reviewing the benefits of the Kria™ K26 SOM board
Developing Multimedia Solutions
Target Audience
Engineers and designers who need to develop multimedia applications targeting Versal™ AI Core, Versal AI Edge Adaptive SoCs or Zynq™ UltraScale+™ MPSoC EV devices.
Description
This workshop provides an explanation of how to build and run complex multimedia applications targeting Zynq UltraScale+ MPSoC EV devices with the help of the GStreamer framework. This course also illustrates how the use of the hardened video codec unit in the EV device helps to achieve optimum performance by offloading critical tasks to the dedicated processing engines.
The emphasis is on:
- Describing the multimedia solutions provided by AMD
- Developing a multimedia application targeting Zynq UltraScale+ MPSoC EV devices
- Listing the multimedia hardened blocks available in Zynq UltraScale+ MPSoC EV devices
- Explaining the encoder and decoder functionalities of a video codec unit
- Describing the software stack for developing multimedia applications
- Describing the Vitis Video Analytics SDK (VVAS) technology
- Utilizing the GStreamer framework from the software stack to create different multimedia pipeline
Vision Based Applications with Kria™
Target Audience
Software and AI developers who want to get started with using Kria SOMs.
Description
This workshop provides details about the Kria System-on-Module (SOM) and Kria KV260 Vision AI Starter Kit, enabling acceleration of vision-based applications using the KV260 Starter Kit without requiring any prior FPGA knowledge.
The workshop also provides information on how to build hardware and software components, customize an AI model, and perform benchmarking. Design guidelines for developing a custom carrier card are also discussed.
The emphasis is on:
- An overview of the operation and advantages of the Kria K26 SOM
- An investigation of the Kria KV260 Vision AI Starter Kit
- Running accelerated applications, such as the Smart Camera, AI Box, and Defect Detection applications, using the kit
- Running the NLP SmartVision demo application with PetaLinux and Ubuntu images
- Building hardware and software design components from scratch
- Customizing the AI models used in the applications
- Reviewing design guidelines for developers to design a custom carrier card
Robotics Applications using Kria™
Target Audience
Software developers, AI developers, and roboticists who want to get started with using Kria SOMs.
Description
This workshop focuses on the AMD Kria System-on-Module (SOM) and Kria KR260 Robotics Starter Kit. This course enables you to accelerate robotics-based applications using the KR260 Starter Kit right out of the box without any installation or FPGA knowledge.
It reviews Robot Operating System 2 (ROS 2) and how to use the Kria Robotics Stack (KRS) and run pre-built accelerated robotics applications. Additionally, design guidelines for developing your own carrier card are discussed.
The emphasis is on:
- Overview of the Kria SOM and the KR260 development kit and how to get started
- An introduction to Robot Operating System (ROS) and ROS2 concepts and architecture
- Describes the Kria Robotic Stack (KRS) and its capabilities, tools and components
- Illustrates how to create a custom Vitis platform to run acceleration applications for the Kria KR260
- Outlines the electrical, mechanical, firmware, thermal, and power-on configuration design considerations that must be addressed as part of designing an AMD SOM-compatible carrier card