course-details-portlet

DT8117 - Heterogenous & Cloud Computing

About

This course is no longer taught and is only available for examination.

Course content

The goal is to study the use of heterogeneous systems for intense computational tasks and well as cloud technologies that facilitate these. Focus will be on numerical problems, including combining numerical simulations with graphics processing of large volumes of data and/or applications with real-time requirements. The content of the course will be adapted to the students interests and background.

Learning outcome

The main goal of this course is to give the participants insights into newer technologies within grid and heterogeneous computing systems, including techniques for optimizing algorithms for many-core technologies. Knowledge: The candidate will gain insights to the plethora of abstraction levels associated with current and future developments within heterogeneous computing -- from maintaining programmability on single systems with several layers of caches, to the technologies behind Grid and Cloud computing. Skills: The problemsets/miniprojects will give experience with experimental methods of analyzing heterogeneous computing resources related to the candidates own research topic, as well as how to systematically do a literature review in this context. Compentence: Ability to handle newer technologies withing grid and heterogeneous systems, including techniques for optimizing algorithms on many-core systems.

Learning methods and activities

Graduate seminar serie where graduate students activly participate, as well as 2 projects which may include implementations and analysis of related topics.

Further on evaluation

In the event of voluntary repetition, fail ("Not passed'") or valid absence, all course-activities must be retaken in a semester with teaching.

Required previous knowledge

TDT 4200 Parallel Computing or waiver from instructor

Course materials

Chosen based on need.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer Systems
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Examination

  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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