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. |
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Comments: |
-- | |
| Past Student Reports | ||
| Daniel WITONO in s2, 2012 Automated Legacy Code Partitioning for Embedded Systems |
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