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Hardware Accelerated Computing (ELEN90096)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
Hardware acceleration for computationally intensive applications is of growing importance for improving workload performance in cloud data centres, the network edge, and IoT embedded devices. This subject introduces students to the basics of hardware design for field programmable gate arrays (FPGAs) which are widely used to accelerate algorithms in applications areas such as machine learning, artificial intelligence, networking, cryptography, and multimedia signal processing. In addition to covering FPGA fundamentals, the subject will take a systems-based approach to analysing algorithms for suitability of acceleration and mapping to heterogeneous computing resources.
Topics covered in this subject may include:
- Review of combinational and sequential digital logic
- FPGA architectures and fundamentals
- Hardware description languages (Verilog/VHDL) and hardware design flows
- High-level synthesis and OpenCL
- The use of parallelism, locality, and precision in hardware accelerators
- Host-accelerator interactions and hardware-software co-design
- Optimisation of hardware designs with respect to throughput, latency, energy, and area
- Accelerator design for selected applications such as machine learning, artificial intelligence, networking, cryptography, and multimedia signal processing
As part of this subject, students will complete a significant design project in which they design, implement, verify, and benchmark a hardware accelerator for a selected application
Intended learning outcomes
On completion of this subject, students should be able to:
- Explain hardware accelerator architectures and computational models
- Implement digital logic functions in a variety of industrial tools, such as hardware description languages, high-level synthesis tools, and OpenCL
- Analyse advanced computational algorithms for amenability to hardware acceleration, mapping to heterogeneous computing systems to exploit parallel computation
- Design hardware to accelerate computationally intensive algorithms using a systems-based approach with consideration given to trade-offs in speed, energy efficiency, and area
- Articulate the importance of hardware acceleration for computational systems as a continuing trend in industry
Generic skills
- Capacity for independent critical thought, rational inquiry and self-directed learning
- Ability to undertake problem identification, formulation, and solution
- Ability to utilise a systems approach to design and operational performance
- Ability to work effectively in a team environment in order to produce a satisfactory project outcome
Last updated: 15 February 2024
Eligibility and requirements
Prerequisites
Option 1
Admission into the MC-ELECENG Master of Electrical Engineering
AND
Completion of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20005 | Intro. to Numerical Computation in C |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
ELEN90066 | Embedded System Design |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Option 2
Admission into or selection of one of the following:
- Computing (100pt) specialisation (formal) in the MC-IT Master of Information Technology
- Computing (150pt) specialisation (formal) in the MC-IT Master of Information Technology
- Computing (200pt) specialisation (formal) in the MC-IT Master of Information Technology
- Artificial Intelligence (100pt) specialisation (formal) in the MC-IT Master of Information Technology
- Artificial Intelligence (150pt) specialisation (formal) in the MC-IT Master of Information Technology
- Artificial Intelligence (200pt) specialisation (formal) in the MC-IT Master of Information Technology
- Distributed Computing (100pt) specialisation (formal) in the MC-IT Master of Information Technology
- Distributed Computing (150pt) specialisation (formal) in the MC-IT Master of Information Technology
- Distributed Computing (200pt) specialisation (formal) in the MC-IT Master of Information Technology
- Cyber Security (100pt) specialisation (formal) in the MC-IT Master of Information Technology
- Cyber Security (150pt) specialisation (formal) in the MC-IT Master of Information Technology
- Cyber Security (200pt) specialisation (formal) in the MC-IT Master of Information Technology
Option 3
Admission into the MC-SOFTENG Master of Software Engineering
AND
Completion of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
SWEN30006 | Software Modelling and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 15 February 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Continuous assessment of team workshop exercises, approximately weekly, not exceeding 8 pages per student spaced out over weeks 2-7. Approximatley 12 hours of work per student. Intended Learning Outcomes (ILOs) 1-2 are adressed in this assessment
| From Week 2 to Week 7 | 10% |
Intermediate team project milestones, including peer assessment, not exceeding 12 pages per student spaced over weeks 8-11. Approimately 16 hours of work per student. Intended Learning Outcomes (ILOs) 3-4 are addressed in this assessment
| From Week 8 to Week 11 | 15% |
Team project report, not exceeding 25 pages. Intended Learning Outcomes (ILOs) 3-5 are addressed in this assessment
| Week 12 | 25% |
Mid-semester test . Intended Learning Outcomes (ILOs) 1-3 are addressed in this assessment
| From Week 7 to Week 8 | 10% |
Final Exam. Intended Learning Outcomes (ILOs) 1-5 are addressed in this assessment
| During the examination period | 40% |
Last updated: 15 February 2024
Dates & times
- Semester 2
Principal coordinator Glenn Bradford Mode of delivery On Campus (Parkville) Contact hours 24 hours of lectures and 24 hours of workshops Total time commitment 200 hours Teaching period 24 July 2023 to 22 October 2023 Last self-enrol date 4 August 2023 Census date 31 August 2023 Last date to withdraw without fail 22 September 2023 Assessment period ends 17 November 2023 Semester 2 contact information
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 15 February 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Software Engineering Course Master of Electrical Engineering Course Master of Information Technology - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 15 February 2024