93322 - Hardware-Software Design of Iot Systems M

Learning outcomes

The main goal of the class is to provide methodologies for analyzing and programming singe-core and multi-core embedded electronic systems. The importance of software components in virtually all electronic systems is emphasized. The key learning outcomes are (i) a clear understanding of the most common programmable embedded hardware architectures and hardware-software platforms; (ii) methodologies for comparative analysis and approaches to estimate key performance indicators (KPIs) such as cost, performance, energy efficiency, to quantitatively assess the matching of a hardware-software platform for an application domain (e.g. automotive, consumer, industrial) and for a specific application; (iii) embedded software development and verification techniques, taking into account typical constraints and performance KPIs that differentiate embedded systems from general-purpose computing systems; (iv) hardware-aware software optimization methods and tools for both single-core and multi-core embedded hardware.

Course contents

1. Introduction to Hardware/Software design and System-on-Chip Architectures.

2. Microcontroller systems design – Hardware and Software

Microcontroller architecture based on the ARM Cortex M family and RISC-V. Microcontroller peripherals. Microcontroller programming for maximum Energy efficiency
Analog and Digital sensor interfaces, MEMS sensors – Smart sensors – Wireless sensor interfacs. System power management

3. Parallel Architecture and Parallel programming for advanced embedded systems

Multicore architectures and their use in energy efficient embedded Systems with examples from consumer and industrial market segments.
Programming shared memory multicore systems using the OpenMP programming model – with practical examples based on open-source multicore RISC-V system (PULP platform)

Readings/Bibliography

1. Computer Architecture, A Quantitative Approach By John L. Hennessy, David A. Patterson and Christos   Kozyraki Edition 7 (or 6)
2. Notes and online documentation shared during lectures

Teaching methods

Teaching in class  + lab exercises

Assessment methods

compulsory written exam  ( and optional oral exam)

Teaching tools

Online material shared via Virtuale

Office hours

See the website of Luca Benini