Course description
Computer Systems Design for Energy Efficiency
In order to be competitive in the computer science field, it’s imperative to understand the basic building blocks of a modern computer and how they directly impact the speed and efficiency of a program. Whether you work with embedded systems, mobile computer-based systems, or cloud systems, performance and energy efficiency are key drivers of usability and competitiveness of computerized products.
In this course, you will learn how to design modern multicore-based computers, and how the design choices you make affect performance and energy consumption. You will explore design principles governing modern microprocessors, such as pipelining and cache memories, as well as methods for determining the impact of your design on execution time and energy efficiency.
These skills can make a difference for practicing engineers for the purpose of building highly competitive products. Take, for instance, a smartphone with limited battery capacity. By adding value to end users through new or improved functionality, this can lead to significantly shorter operation time between battery charges, thus utilizing the already limited resources of a smartphone far more efficiently.
With this skillset, you can become an expert in computer system performance and energy efficiency - knowledge that is in high demand when designing computerized embedded products. With trends towards IoT (Internet of Things), autonomous systems and mobile computers, such a skillset will be critical in a career in systems engineering.
This course is derived from a Chalmers senior undergraduate course in computer system design.
Upcoming start dates
Who should attend?
Prerequisites
This course addresses students/professionals with a general understanding of programming computers, but with no prior knowledge of how a computer works.
Training content
Execution model of computer systems
- The transformation hierarchy
- Instruction set architecture
- Execution stages
- Control, data paths, and a model of a computer
- Execution of a program
- Put it all together
Performance and energy models of computers
- Basic performance model of an executing program
- Energy and power consumption in computer systems
- Basic energy model of an executing program
- How performance and energy can be improved
- Reporting performance and energy
- Put it all together
Pipelining principles
- The principle of the conveyor belt – pipelining
- Instruction level parallelism and its relation to pipelining
- A pipelined model of a computer
- Pipeline hazards (structural, data and control)
- Simple techniques to avoid hazards
- Put it all together
Cache memory hierarchy principles
- Memory system basics
- The memory locality principle
- Basic notion of cache memory and a direct mapped cache
- Set-associative caches
- Multi-level caches
- Put it all together
Course delivery details
This course is offered through Chalmers University of Technology, a partner institute of EdX.
4-6 hours per week
Costs
- Verified Track -$49
- Audit Track - Free
Certification / Credits
What you'll learn
- Design concepts in modern multicore-based computers including processors and memory hierarchies
- How energy efficient and fast a program will execute
- How to use simple models to analyze energy efficiency and performance
- How taught design concepts are used in modern multicore-based computer systems
Contact this provider
edX
edX For Business helps leading companies upskill their labor forces by making the world’s greatest educational resources available to learners across a wide variety of in-demand fields. edX For Business delivers high-quality corporate eLearning to train and engage your employees...