Energy Efficient Computer Systems Design
Master the fundamentals of modern computer system design focusing on performance optimization and energy efficiency for multicore processors and memory systems.
Master the fundamentals of modern computer system design focusing on performance optimization and energy efficiency for multicore processors and memory systems.
This comprehensive course explores the design principles of modern multicore-based computers, focusing on performance optimization and energy efficiency. Students learn essential concepts including processor design, memory hierarchies, and pipelining principles. The course covers practical aspects of computer system architecture, teaching how design choices impact program execution speed and energy consumption. Particular emphasis is placed on analyzing performance metrics and energy models, understanding cache memory systems, and implementing efficient pipelining strategies. The curriculum bridges theoretical knowledge with practical applications, preparing students for careers in embedded systems, IoT devices, and mobile computing where energy efficiency is crucial for product success.
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What you'll learn
Design efficient multicore-based computer systems with optimized performance
Analyze and model energy consumption patterns in computer systems
Implement effective pipelining techniques while managing various hazards
Optimize cache memory hierarchies for improved system performance
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course delves into the fundamentals of modern computer system design with a focus on energy efficiency and performance optimization. Students explore key concepts including multicore processor architecture, memory hierarchies, and pipelining principles. The curriculum covers performance analysis, energy consumption models, and practical design considerations for modern computing systems. Topics include instruction set architecture, execution models, cache memory systems, and pipeline hazards. Special attention is given to the relationship between design choices and their impact on system performance and energy consumption. The course emphasizes practical applications in embedded systems, mobile computing, and IoT devices.
Execution model of computer systems
Module 1
Performance and energy models of computers
Module 2
Pipelining principles
Module 3
Cache memory hierarchy principles
Module 4
Fee Structure
Instructor
4 Courses
Distinguished Expert in Computer Architecture at Chalmers
Professor Per Stenström, a renowned expert in Computer Engineering at Chalmers University of Technology, has made significant contributions to the field of computer architecture, particularly in high-performance memory systems. With a PhD from Lund University (1990), Stenström has authored 4 textbooks, published about 200 papers in international journals and conferences, and holds 20 patents. His influence extends beyond research through editorial roles in prestigious journals and leadership in major conferences like ACM/IEEE Int. Symposium on Computer Architecture. A Fellow of both ACM and IEEE, and a member of Academia Europaea and the Royal Swedish Academy of Engineering Sciences, Stenström has mentored about 25 PhD graduates and co-founded the HiPEAC Network of Excellence. His work in European projects and international collaborations has further cemented his status as a leading figure in computer engineering research and education, shaping the future of computer architecture on a global scale.
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