Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
I semestre | Oct 1, 2019 | Jan 31, 2020 |
II semestre | Mar 2, 2020 | Jun 12, 2020 |
Session | From | To |
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Sessione invernale d'esame | Feb 3, 2020 | Feb 28, 2020 |
Sessione estiva d'esame | Jun 15, 2020 | Jul 31, 2020 |
Sessione autunnale d'esame | Sep 1, 2020 | Sep 30, 2020 |
Session | From | To |
---|---|---|
Sessione Estiva. | Jul 16, 2020 | Jul 16, 2020 |
Sessione Autunnale. | Oct 15, 2020 | Oct 15, 2020 |
Sessione Invernale. | Mar 18, 2021 | Mar 18, 2021 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2019 | Nov 1, 2019 |
Festa dell'Immacolata | Dec 8, 2019 | Dec 8, 2019 |
Vacanze di Natale | Dec 23, 2019 | Jan 6, 2020 |
Vacanze di Pasqua | Apr 10, 2020 | Apr 14, 2020 |
Festa della Liberazione | Apr 25, 2020 | Apr 25, 2020 |
Festa del lavoro | May 1, 2020 | May 1, 2020 |
Festa del Santo Patrono | May 21, 2020 | May 21, 2020 |
Festa della Repubblica | Jun 2, 2020 | Jun 2, 2020 |
Vacanze estive | Aug 10, 2020 | Aug 23, 2020 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Advanced computer architecture (2019/2020)
Teaching code
4S02910
Credits
6
Language
Italian
Also offered in courses:
- Architectures and systems for biological data processing - Teoria of the course Master's degree in Medical Bioinformatics
- Architectures and systems for biological data processing - Laboratorio of the course Master's degree in Medical Bioinformatics
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
This course aims at providing theoretical and practical knowledge about programming and analysis of advanced computational architectures, with emphasis on multiprocessor and GPU platforms. At the end of the course the student will have to demonstrate the ability to apply the knowledge necessary to: identify techniques for parallel programming, also in a research context, through analysis of application efficiency and by considering both functional and non-functional design constraints (correctness, performance, energy consumption); analyze performance and perform code profiling, by identifying critical zone and the corresponding optimizations by considering the architectural characteristics of the platform; demonstrate ability to compare parallel patterns and to select the best one by considering the use case; by defining the structure of the optimized code, demonstrate the ability to identify the proper architectural choices, by considering the target application and platform contexts. Finally, the student will have to demonstrate the ability to be able to continue the study autonomously in the field of the parallel programming languages and of the Software development for parallel embedded platforms.
Program
Theory module (32 h):
-) Intro to parallelism and parallel architectures.
-) Programming parallel architectures.
-) Models of parallel programming.
-) Measurement and analysis of performance, Amdhal’s low and metrics for performance analysis.
-) Pipeline: basic and advanced concepts.
-) Instruction-level parallelism (ILP).
-) Advanced techniques of branch prediction, static scheduling, and speculation.
-) Memory hierarchy: basic and advanced concepts.
-) Advanced optimization techniques of cache performance.
-) Thread-level parallelism (TLP).
-) Cache coherency in shared-memory architectures, Snoopy protocols.
-) General purpose Graphic Processing Unit (GP-GPU).
-) Intro to non-functional contraints: power consumption and energy efficiency.
-) Deep learning at-the-edge: models and inference with architectural constraints (performance, energy efficiency, memory bandwidth, etc.).
-) Quantization and pruning of neural networks for inference on embedded architectures.
Lab module (24 h):
-) Parallel compilers for multicore architectures (OpenMP).
-) Paralle compilers for cluster architectures (MPI).
-) GP-GPU programming: CUDA.
-) Intelligent Video Analisys (Deep Learning + stream analisys) on embedded architectures.
Bibliography
Activity | Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|---|
Teoria | John Hennessy, David Patterson | Computer Architecture - A Quantitative Approach (Edizione 6) | Morgan Kaufmann | 2018 | 9780128119051 | |
Teoria | David B. Kirk, Wen-mei W. Hwu | Programming Massively Parallel Processors - A Hands-on Approach (Edizione 3) | Morgan Kaufmann | 2017 | 978-0-12-811986-0 |
Examination Methods
To pass the exam, the student has to demonstrate:
- he/she has understood the principles related to the parallel architectures
- he/she is able to describe the concepts in a clear and exhaustive way without digressions
- he/she is able to apply the acquired knowledge to solve application scenarios described by means of exercises, questions and projects.
The exam consists of a written test, which contains questions with multiple answers, questions with open answers, and exercises related both the theoretical and lab modules. Alternatively, the student can elaborate a project assigned by the teacher.
Type D and Type F activities
Documents and news
- PIANO DIDATTICO / DEGREE PROGRAMME LM-18/32 2019/20 (octet-stream, it, 16 KB, 25/03/19)
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | The fashion lab (1 ECTS) | D | Not yet assigned |
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Python programming language | D |
Maurizio Boscaini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | CyberPhysical Laboratory | D |
Andrea Calanca
(Coordinator)
|
1° 2° | C++ Programming Language | D |
Federico Busato
(Coordinator)
|
1° 2° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Corso Europrogettazione | D | Not yet assigned |
1° 2° | The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. | D |
Matteo Cristani
|
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
List of theses and work experience proposals
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.