Course - Grid Technology and Heterogenous Computing - DT8117
Grid Technology and Heterogenous Computing
Choose study yearLessons are not given in the academic year 2011/2012
About
About the course
Course content
The subject is taught every other year, next time in the spring semester 2013. The goal is to study grid technologies and 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.
Recommended previous knowledge
Algorithms, operating systems
Required previous knowledge
TDT 4200 Parallel Computing or waiver from instructor
Course materials
Chosen based on need.
Subject areas
- Computer Systems