|SCIENTIFIC DISCIPLINARY SECTOR||INF/01|
Large scale Computing generally refers to the capability of hardware and software systems to dynamically adapt to an increasing load typically employing multiple, distributed nodes to complete a given processing task. Since we are in the Big Data Era, Large Scale Computing models and frameworks are becoming necessary for Data-intensive computations, a class of computing applications which use a data parallel approach to process large volumes of data based on the Map-Reduce paradigm.
Learning the theoretical, methodological, and technological fundamentals of advanced data processing architectures, large-scale distributed environments, and data intensive programming including Docker, HDFS, Hadoop, Spark, and Cloud/IoT platforms.
The course has three specific aims:
Good programming skills and solid background on operating systems, databases, algorithms and data structures.
Frontal and online lectures, assignments, lab sessions, final project
Material and reference in the aulaweb module of the course
Office hours: Appointment by email
Office hours: Appointment by email or by Microsoft Teams Office: Valle Puggia – 327
Office hours: Appointment by email or by Microsoft Teams Office: Valle Puggia – 301
GIORGIO DELZANNO (President)
BARBARA CATANIA (President Substitute)
FEDERICO DASSERETO (Substitute)
Beginning of the first semester
All class schedules are posted on the EasyAcademy portal.
Evaluation of assignments submitted during the semester on the Github platform and Aulaweb
Evaluation of material related to final project proposal (slides, presentation, source code on Github)
Discussion of assignments and final project
|17/01/2022||09:00||GENOVA||Esame su appuntamento|
|14/06/2022||09:00||GENOVA||Esame su appuntamento|
|05/09/2022||09:00||GENOVA||Esame su appuntamento|
|09/01/2023||09:00||GENOVA||Esame su appuntamento|