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 |
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I sem. | Oct 3, 2016 | Jan 31, 2017 |
II sem. | Mar 1, 2017 | Jun 9, 2017 |
Session | From | To |
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Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
Session | From | To |
---|---|---|
Sessione estiva Appelli di Laurea | Jul 19, 2017 | Jul 19, 2017 |
Sessione autunnale Appelli di laurea | Oct 18, 2017 | Oct 18, 2017 |
Sessione invernale Appelli di laurea | Mar 21, 2018 | Mar 21, 2018 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
Festa del Lavoro | May 1, 2017 | May 1, 2017 |
Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
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 Enrolment 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 enrolment year.
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1° Year
Modules | Credits | TAF | SSD |
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2° Year
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 (2016/2017)
Teaching code
4S02910
Teacher
Coordinatore
Credits
6
Also offered in courses
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course aims at providing students with skills for programming and analysis of advanced computer architectures with emphasis on multicore and GPU architectures. For each subject, theoretical lessons are given followed by practices in laboratory. At the completion of the course the students will be able to program advanced parallel architectures targeting performance in the context of complex applications or large datasets. They will also be able to analyze and to optimize performance, work efficiency, and quality of results of the parallel computation.
Program
Theory (32h):
Intro High-performance computing (HPC)
Parallel architectures
Parallel programming models
HPC and Symmetric Multi-Processors (SMP): OpenMP
HPC and Message Passing Interface (MPI): OpenMPI
Graphic Processing Units (GPUs): overview, parallel programming model, threads, memory model.
Performance measurement
GPU performance considerations
GPU data transfers and streams.
Parallel graph algorithms for GPUs: BFS and SSSP
OpenCL and OpenACC
Modeling for qualitative simulation in Systems Biology targeting HPC
Lab (24h):
OpenMP
OpenMPI
CUDA
OpenCL
R parallel pack
Qualitative modelling lab.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
John L. Hennessy, David A. Patterson | Computer Architecture - A Quantitative Approach (Edizione 5) | Morgan Kaufmann | 2011 | 012383872X | |
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
The exam consists of a project agreed upon with the teacher after request by email and appointment for the elaboration of the specifications (the project is valid throughout the academic year). The projects have different levels of difficulty. Every difficulty corresponds to a maximum evaluation value. Students will hold an interview to comment the project
Attendees at the course will be able to expose to the class their project, the research context in which the project is located, and the state of progress of the course.
Voting for the project (project_mark) is expressed in thirty.
The final vote is calculated as min(31, (project_mark + Bias)).
Bias is expressed in the interval [-4, + 4] and reflects the maturation and scientific autonomy acquired during the development of the project, in the exposure and in the interpretation of the scientific literature and the scientific context of the project.
Bibliography
Type D and Type F activities
Modules not yet included
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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.