Undergraduate Course: Energy Aware Computing (Level 10) (INFR10031)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Course type | Standard |
Availability | Available to all students |
Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Credits | 10 |
Home subject area | Informatics |
Other subject area | None |
Course website |
http://www.inf.ed.ac.uk/teaching/courses/eac |
Taught in Gaelic? | No |
Course description | This course aims to introduce students to basic concepts and modern techniques in designing, modelling and evaluating energy-efficient computing systems. Low energy/power consumption is the most important design issue in modern computing devices as it has a direct impact not only on the battery life of mobile electronic equipment, but also sets limits on the operating speed of high-performance computing devices. This course will examine techniques to improve energy consumption at circuit (logic gate), micro-architecture, memory hierarchy and, at a lesser degree, at OS, compiler levels. It will also introduce state of the art approaches to energy aware computing by examining selected research papers. Practical coursework will require students to implement selected methods in research simulators and evaluate their performance. |
Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
Students MUST have passed:
Computer Architecture (INFR09009)
|
Co-requisites | It is RECOMMENDED that students also take
Computer Design (INFR09010)
|
Prohibited Combinations | Students MUST NOT also be taking
Energy Aware Computing (Level 11) (INFR11052)
|
Other requirements | Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. This course is also open to Engineering MEng students who have suitable programming expertise.
Students are expected to be competent programmers in C, C++ or Java. |
Additional Costs | None |
Information for Visiting Students
Pre-requisites | None |
Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
Not being delivered |
Summary of Intended Learning Outcomes
1 - describe and discuss the factors which contribute to the consumption of power/energy in computing systems and how they affect the system performance.
2 - explain in detail mechanisms found in modern computing systems for conserving energy.
3 - discuss, assess and compare the behaviour and performance of energy-saving techniques on computing micro-architectures
4 - gain familiarity with state-of-the-art tools such as processor simulators, memory models and compilers, and use them to implement and evaluate techniques described in the technical literature.
5 - write and present clear and concise descriptions of complex systems/methods. |
Assessment Information
Written Examination 50
Assessed Assignments 50
Oral Presentations 0
Assessment
There will be one piece of assessed coursework: a project to design, implement and evaluate an energy efficient architectural technique, using state-of-the-art modelling and simulation tools. The students will document their work in a short report and demonstrate it to the course lecturer. |
Special Arrangements
None |
Additional Information
Academic description |
Not entered |
Syllabus |
*Fundamentals
Dynamic power consumption in CMOS circuits: voltage, capacitance, switching activity, clock frequency. Leakage power. Metrics: energy efficiency vs performance
*Basic low power design techniques
Voltage scaling. Effective switched capacitance reduction. Leakage power reduction.
*Gate level power modelling
Switching activity. Glitches. Clock-gating, guarded evaluation.
*Processor power modelling and optimisation
Wattch/Simplescalar simulator. Behavioural level transformations. Architectural techniques for energy efficiency.
*Memory subsystem modelling and optimisation
Low-power cache design, e.g. way-predicting
*Power management
Dynamic Voltage and Frequency Scaling. Dynamic Power Management.
*Compiler and run-time support for low power
Scheduling for low energy consumption. Compiler-driven power efficiency.
*Current themes
Partially asynchronous systems. Power management techniques for sensor networks.
Relevant QAA Computing Curriculum Sections: Architecture, Systems Analysis and Design, Simulation and Modelling, Computer Hardware Engineering. |
Transferable skills |
Not entered |
Reading list |
* A selection of conference and journal papers will be provided in class and the course website.
* No required textbook. Some relevant texts:
* S. Kaxiras, M. Martonosi, Computer Architecture Techniques for Power-Efficiency, Synthesis Lectures on Computer Architecture. Morgan&Claypool publishers. doi:10.2200/S00119ED1V01Y200805CAC004
* Power Aware Design Methodologies, M. Pedram, J.M. Rabaey (Eds.) ISBN 1402071523
* Power Aware Computing, R. Melhem, R. Graybill (Eds.) ISBN 0306467860
* Low Power Electronics Design, C. Piguet (Ed.), ISBN 0849319412 |
Study Abroad |
Not entered |
Study Pattern |
Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 40
Private Study/Other 40
Total 100 |
Keywords | Not entered |
Contacts
Course organiser | Dr Amos Storkey
Tel: (0131 6)51 1208
Email: A.Storkey@ed.ac.uk |
Course secretary | Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
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