FIT3143 Parallel computing
Faculty of Information Technology
FIT3143 Parallel computing is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2023 in Semester 2 at Clayton and Malaysia. It needs FIT2004.
- Credit points
- 6
- Offered in 2023
- Semester 2
- Clayton, Malaysia
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
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Requisites
Before FIT3143
Prerequisites
Pass these before you enrol.
After FIT3143
No unit lists FIT3143 as a prerequisite in the 2023 handbook.
Overview
Modern computer systems contain parallelism in both hardware and software. This unit covers parallelism in both general purpose and application specific computer architectures and the programming paradigms that allow parallelism to be exploited in software. The unit examines shared memory and message passing paradigms in hardware and software; concurrency, multithreading and synchronicity; parallel, clustered and distributed supercomputing algorithms, languages and software tools and development environments. Students will learn to design and develop parallel algorithms in these paradigms, and apply technical writing and presentation to communicate parallel computing.
Offerings in 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Assignment 1Assignment25%
- Assignment 2Assignment25%
- Lab-workOther30%
- Assignment 3Assignment20%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the fundamental principles of parallel computing architectures and algorithms through practice-based learning.
- 2
Compare and contrast different parallel computing architectures, algorithms and communication schemes using research-based knowledge and methods.
- 3
Design and develop parallel algorithms for various parallel computing architectures.
- 4
Analyse and evaluate the performance of parallel algorithms;
- 5
Apply technical writing and presentation to effectively communicate parallel computing to a range of academic and expert audiences.
Workload and teaching
- Laboratories24 hours
- Workshops24 hours
- Teaching approachActive learning
This unit has a requirement of 1-2 hours per week of asynchronous learning.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Learning resources
Recommended resources
a) Trobec, R., Slivnik, B., Bulic, P., & Robic, B. (2018). Introduction to Parallel Computing From Algorithms to Programming on State-of-the-Art Platforms. Cham, Switzerland: Springer Nature.
b) Soyota, T. (2018). GPU Parallel Program Development Using CUDA. Florida, USA: Chapman and Hall/CRC.
c) Czech, Z.J. (2017). Introduction to Parallel Computing. Cambridge, United Kingdom: Cambridge University Press.
Technology resources
Portable personal computer and access to a broadband Internet connection. Lab computers are also available to use during timetabled hours.
Where it fits
FIT3143 is part of 3 areas of study in the 2023 handbook.
Contacts
- Chief Examiners
- Dr Vishnu Monn
- Unit Coordinators
- Dr Leong Shu Min
- Dr Terrence Mak
Common questions
What are the prerequisites for FIT3143?
You need FIT2004 before you enrol.
When is FIT3143 offered?
In 2023, FIT3143 runs in Semester 2 at Clayton and Malaysia.
How much work is FIT3143?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT3143 have an exam?
No. FIT3143 has 4 assessment tasks and no exam.
Which majors and minors include FIT3143?
FIT3143 is part of Advanced computer science, Computational science and Software engineering.