Thesis Topic Details

Topic ID:
3232
Title:
Automated Legacy Code Partitioning for Embedded Systems
Supervisor:
Jude Angelo Ambrose
Research Area:
Compiler, Computer architecuture, Embedded Systems
Associated Staff
Assessor:
Jorgen Peddersen
Topic Details
Status:
Active
Type:
R & D
Programs:
CE
Group Suitable:
No
Industrial:
No
Pre-requisites:
COMP3131
Description:
Multiprocessors in embedded systems are popular in devices such as mobile phones, pads, PDAs, etc., where variety of applications are distributed across processors for performance, power and real-time purposes. Sequential code requires intensive hand-modification for partitioning to processors.

The goal of this project is to automatically analyse the legacy code (written in C) and perform partitioning for Multiprocessor systems. State-of-the-art streaming applications (such H264, MPEG2) will be experimented.
Comments:
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Past Student Reports
  Daniel WITONO in s2, 2012
Automated Legacy Code Partitioning for Embedded Systems
 

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