Subject Descriptions - Subject Information

Calendar: 2017 Postgraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology

Subject Information
Subject Code CSCI976
Subject Name Multicore and GPU Programming
Credit Points 6
Pre-Requisites None.
Co-Requisites None.
Restrictions Cannot be counted with CSCI376
Equivalence None.
Assessment Practical work (40%) Final Examination (60%)
General Subject Yes.
EFTSL (Non Weighted) 0.125
Non Weighted Student Contribution Amounts
Commonwealth Supported (HECS) Students Only
Pre-1997 Pre-2005 Post-2005 Post-2008 Post-2009 Post-2010
$ 1131  $ 1131  $ 1131  $ 1131  $ 1131  $ 1131 
Weighted Student Contribution Amounts  
Work Experience No
Tutorial Enrolment Information None.

Subject Availability
Session Spring  (24-07-2017 to 16-11-2017)
Campus Wollongong
Delivery Method On Campus
Instance Name Class 1
Course Restrictions No restrictions
Contact Hours 2hr lect, 2hr lab
Lecturer(s) and
Cons. times
Casey Chow
Coordinator(s) and
Cons. times
Casey Chow
Instance Comment No lab in first week
Census Date 31-08-2017

Subject Description
This subject will build on a studentís programming knowledge and explore the topic of heterogeneous computing by evaluating the development of software on modern computing systems that are often equipped with more than one kind of processor. Students will learn to use and assess appropriate programming interfaces to design and implement programs for computing systems incorporating multicore CPU and GPU hardware. Among others, topics covered will include parallel programming, data management, execution and memory models, parallel patterns, performance considerations, and current trends on heterogeneous computing as practiced in the ICT sector.

Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Explain and appraise principles involved in heterogeneous computing.
2. Demonstrate an understanding of concepts and techniques underlying heterogeneous computing
3. Devise solutions to problems involving computation on heterogeneous systems.
4. Apply and assess appropriate programming interfaces to implement programs for systems incorporating multicore CPU and GPU hardware.
5. Design and evaluate programs for heterogeneous computing systems.

Extra Information
Generic Extra Information:
Assumed knowledge: C/C++ Programming

Textbook Information

Text book information is available via the UniShop website:

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