With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
The sidebar on the left displays the number of lessons included in schedule. There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Course completely offered in italian
Course completely offered in english
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching. These CFUs include:
Subject taught jointly with companies or organizations
Blended Learning & Flipped Classroom
Massive Open Online Courses (MOOC)
School of Industrial and Information Engineering
(Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
T2A - COMPUTER SCIENCE AND ENGINEERING
ADVANCED TOPICS ON HETEROGENEOUS SYSTEM ARCHITECTURES: ARCHITECTURES, PROGRAMMING MODELS AND RESOURCE MANAGEMENT
Credits (CFU / ECTS)
The course will delve into current/state of the art solutions, opportunities and challenges related to Heterogeneous System Architectures. These systems integrate heterogeneous units (e.g., multicore CPUs, GPUs and programmable HW accelerators) to exploit resources with different characteristics (with respect, for instance, to performance and power consumption). However, heterogeneity presents several challenges, in particular related to processing resource management; in fact there is a quest for approaches for an efficient distribution of these resources among the running applications considering that the workload may also change over the time. The course will cover these issues.