- Docente: Stefano Mattoccia
- Credits: 8
- SSD: ING-INF/05
- Language: Italian
- Moduli: Stefano Mattoccia (Modulo 1) Fabio Tosi (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Computer Engineering (cod. 5826)
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from Sep 18, 2024 to Dec 18, 2024
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from Sep 20, 2024 to Dec 20, 2024
Learning outcomes
The corse provides an introduction to modern software methodologies for the design of embedded systems. Application contexts and projects are mostly concerned with image processing and deep-learning networks applied to computer vision problems.
Course contents
Architectures and programming models for high-performance computing with a focus on computer vision and artifical intelligence.
1: Introduction to high-performance computing
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Parallel computing principles
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Architectures for high-performance computing: CPU multi-core, GPU, sistemi embedded
2: SIMD and Multi-threading
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Introduction to SIMD
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Multi-threading principles
3: GPU and CUDA C Programming
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CUDA Programming Model
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GPU Architectures and CUDA Execution Model
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GPU Memory Hierarchy and Organization
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CUDA Ecosystem: Libraries and Applications
4: Dealing with real numbers: encoding and computations
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Floating point
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Fixed point
5: Emerging technologies
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FPGA (Field Programmable Gate Array)
Readings/Bibliography
Slides and source code available on the corse website.
For further details:
Cheng, J., Grossman, M., McKercher, T. (2014). Professional CUDA C Programming. Wrox Pr Inc. (1st edition)
Kirk, D. B., Hwu, W. W. (2013). Programming Massively Parallel Processors. Morgan Kaufmann (3rd edition)
Timothy G. Mattson, Yun (Helen) He, Alice E. Koniges, The OpenMP Common Core: Making OpenMP Simple Again, MIT Press, 2019
Jean-Michel Muller , Nicolas Brunie , Florent de Dinechin , Claude-Pierre Jeannerod , Mioara Joldes , Vincent Lefèvre , Guillaume Melquiond , Nathalie Revol , Serge Torre, Handbook of Floating-Point Arithmetic, Springer Birkhäuser 2018
Jean-Michel Muller, Elementary Functions: Algorithms and Implementation, Springer Birkhäuser 2016
Teaching methods
Each ntroduced topic will be followed by hand-on senssions with software frameworks.
Assessment methods
The assessment method consists in questions concerning topics presented in the course and in the evaluation of a project developed by studends (max 2 for each team).
Teaching tools
Software development frameworks.
Office hours
See the website of Stefano Mattoccia
See the website of Fabio Tosi
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.