What This Document Is
This document represents lecture notes from CPEG 222: Microprocessor Systems at the University of Delaware, specifically focusing on the critical area of Hardware/Software Co-Design. It delves into the methodologies and considerations involved in simultaneously developing both the hardware and software components of embedded systems. This lecture material provides a foundational understanding of the interplay between these two domains, essential for optimizing system performance and efficiency.
Why This Document Matters
This resource is invaluable for students enrolled in microprocessor systems courses, particularly those concentrating on embedded systems design. It’s also beneficial for engineers and hobbyists seeking a deeper understanding of how hardware and software can be integrated for optimal results. Reviewing this material will prepare you to tackle complex system design challenges, understand trade-offs, and make informed decisions during the development process. It’s most useful when studying system architecture, embedded programming, or digital logic design.
Topics Covered
* Design Flows in Microprocessor Systems (Hardware, Platform-Based, and Co-Design)
* System Partitioning strategies – determining optimal hardware/software splits
* Task Scheduling techniques for efficient resource allocation
* Platform-Based Design principles and implementation
* Host/Target system interaction and toolchains
* Hardware and Software perspectives on platform architecture
* Cost analysis related to hardware and software implementation choices
* Considerations for concurrency management at the task level
What This Document Provides
* An overview of different approaches to system design, from traditional hardware flows to integrated co-design methodologies.
* A discussion of the key elements that constitute a “platform” in the context of embedded systems.
* Exploration of the factors influencing decisions about where to implement functionality – in hardware or software.
* Insights into the tools and techniques used for cross-compilation and debugging in a host/target environment.
* A framework for evaluating the costs associated with different partitioning and scheduling choices.
