Optimizing Power & Reliability in Mobile Computing with DVFS

Somdip Dey

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English

Somdip Dey
09 May 2023

Electronic devices & materials; Computer hardware; Computer science; Computer architecture & logic design

"Low power mobile computing systems such as smartphones and wearables have become an integral part of our daily lives and are used in various ways to enhance our daily lives. Majority of modern mobile computing systems are powered by multi-processor System-on-a-Chip (MPSoC), where multiple processing elements are utilized on a single chip. Given the fact that these devices are battery operated most of the times, thus, have limited power supply and the key challenges include catering for performance while reducing the power consumption. Moreover, the reliability in terms of lifespan of these devices are also affected by the peak thermal behaviour on the device, which retrospectively also make such devices vulnerable to temperature side-channel attack. This book is concerned with performing Dynamic Voltage and Frequency Scaling (DVFS) on different processing elements such as CPU & GPU, and memory unit such as RAM to address the aforementioned challenges. Firstly, we design a Computer Vision based machine learning technique to classify applications automatically into different categories of workload such that DVFS could be performed on the CPU to reduce the power consumption of the device while executing the application. Secondly, we develop a reinforcement learning based agent to perform DVFS on CPU and GPU while considering the user's interaction with such devices to optimize power consumption and thermal behaviour. Next, we develop a heuristic based automated agent to perform DVFS on CPU, GPU and RAM to optimize the same while executing an application. Finally, we explored the affect of DVFS on CPUs leading to vulnerabilities against temperature side-channel attack and hence, we also designed a methodology to secure against such attack while improving the reliability in terms of lifespan of such devices.

This book is based on the doctoral thesis titled, ""Novel DVFS Methodologies For Power-Efficient Mobile MPSoC."" Cite: Dey, Somdip (2023) Novel DVFS Methodologies For Power-Efficient Mobile MPSoC. Doctoral thesis, University of Essex."

By: Somdip Dey
Imprint: Somdip Dey
Dimensions: Height: 279mm, Width: 216mm, Spine: 12mm
Weight: 531g
ISBN: 9798223479703
Pages: 224
Publication Date: 09 May 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Somdip Dey, FRSA, also professionally known as InteliDey, is an Embedded Artificial Intelligence scientist, engineer, entrepreneur, AI art & music creator and TED speaker. Dey is the CEO of Nosh Technologies, the CTO of Blockway Technologies and a Lecturer at the University of Essex, UK. He is also the Danah Zohar Professor of Quantum Philosophy & Professor of Practice (AI/ML) at Woxsen University, India. He has more than 13 years of industrial experience including working for Microsoft and Samsung in developing numerous technological products that are currently used by billions of people in different ways. For contributions to improving society through applications of embedded machine learning Dey is elected a Life Fellow of the Royal Society of Arts, named an MIT Innovator Under 35, an Outstanding Achiever in Education, Science & Innovation at the 2023 India UK Achievers Honours and a 2022 World IP Review Leader. He is also a member of the Forbes Technology Council and regularly appears in news including Forbes, Entrepreneur, Business Insider, Tech Crunch and many more.