- Docente: Luca Benini
- Credits: 6
- SSD: ING-INF/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Electronic Engineering (cod. 0934)
Also valid for Second cycle degree programme (LM) in Electronic Engineering (cod. 0934)
Second cycle degree programme (LM) in Electric Vehicle Engineering (cod. 5699)
Second cycle degree programme (LM) in Computer Engineering (cod. 5826)
Second cycle degree programme (LM) in Electronic Engineering for Intelligent Vehicles (cod. 5917)
Second cycle degree programme (LM) in Automation Engineering (cod. 8891)
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from Feb 23, 2023 to Jun 09, 2023
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 Networks. System power management
- 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
Refer to Virtuale
Teaching methods
Frontal lectures for theory. In addition, there will be in-class hands-on practical lectures requiring a laptop.
Assessment methods
Written exam with optional oral discussion (or presentation of a project)
Teaching tools
Refer to Virtuale
Office hours
See the website of Luca Benini