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Identifying Data 2020/21
Subject (*) HPC on the Cloud Code 614473106
Study programme
Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Presencial)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
First Optional 6
Language
Spanish
Galician
English
Teaching method Hybrid
Prerequisites
Department Departamento profesorado máster
Enxeñaría de Computadores
Coordinador
Pardo Martínez, Xoán Carlos
E-mail
xoan.pardo@udc.es
Lecturers
Pardo Martínez, Xoán Carlos
E-mail
xoan.pardo@udc.es
Web http://aula.cesga.es/courses/MASTERHPC7
General description For several years, the use of parallel computing architectures was a fundamental aspect that allowed the development of important areas in multiple fields of basic and applied science. However, the high cost of traditional parallel systems limited its use practically to large industries and research centers. The use of low-cost computer networks, as well as computing using connected infrastructures through the Internet, has been a practical and cheap alternative to large systems for some time. Thus, Cloud computing has emerged as a paradigm of distributed computing that changes the way we use computers, allowing a transparent, safe and cheap access to huge computational resources from anywhere in the world. The main objective of this subject is to introduce the Cloud Computing model, and how the field of High Performance Computing can use the cloud to deal with problems that, until now, were restricted to be solved in large supercomputers. You will see different examples of how it is possible to solve problems in the field of High Performance Computing using distributed services and resources accessible in the cloud.
Contingency plan 1. Modifications to the contents No modifications 2. Methodologies *Teaching methodologies that are maintained All *Teaching methodologies that are modified None. The subject is already designed for face-to-face and distance learning, so it is not necessary to make any changes to adapt it to a distance learning context. 3. Mechanisms for personalized attention to students Asynchronous communication on demand (email, instant messaging, video call) Synchronous weekly communication during official teaching hours or, exceptionally, at times previously agreed with students (videoconference) Online course (materials, videos, bibliography, forums, etc.) hosted on an e-learning platform typically updated on a weekly basis In each case the appropriate tools recommended by the coordination of the master will be used (e.g. Teams, Slack, Moodle, Aula Cesga, Stream) 4. Modifications in the evaluation No modifications *Evaluation observations: All the conditions and percentages established in the Teaching Guide are maintained 5. Modifications to the bibliography or webgraphy No modifications
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.