course-details-portlet

DT8117 - Grid Technology and Heterogenous Computing

About

Examination arrangement

Examination arrangement: Oral examination
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Oral examination 100/100

Course content

The goal is to study grid technologies and the use of heterogeneous
systems for intense computational tasks. 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.

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

Term no.: 1
Teaching semester:  SPRING 2021

No.of lecture hours: 3
Lab hours: 2
No.of specialization hours: 7

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Computer Science

Phone:

Examination

Examination arrangement: Oral examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Oral examination 100/100
Room Building Number of candidates
Spring ORD Oral examination 100/100
Room Building Number of candidates
  • * 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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