Graduate Exam Abstract

Yi Xiang

Ph.D. Final
September 8, 2015, 3:00 pm - 5:00 pm
ECE Conference Room
A Semi-Dynamic Resource Management Framework for Multicore Embedded Systems with Energy Harvesting

Abstract: Semiconductor technology has been evolving rapidly over the past several decades, introducing a new breed of embedded systems that are tiny, efficient, and pervasive. These embedded systems are the backbone of the ubiquitous and pervasive computing revolution, embedded intelligence all around us. Often, such embedded intelligence for pervasive computing must be deployed at remote locations, for purposes of environment sensing, data processing, information transmission, etc. Compared to current mobile devices, which are mostly supported by rechargeable and exchangeable batteries, emerging embedded systems for pervasive computing favor a self-sustainable energy supply, as their remote and mass deployment makes it impractical to change or charge their batteries. The ability to sustain systems by scavenging energy from ambient sources is called energy harvesting, which is gaining monument for its potential to enable energy autonomy in the era of pervasive computing. Among various energy harvesting techniques, solar energy harvesting has attracted the most attention due to its high power density and availability. Another impact of semiconductor technology scaling into the deep submicron level is the shifting of design focus from performance to energy efficiency as power dissipation on a chip cannot increase indefinitely. Due to unacceptable power consumption at high clock rate, it is desirable for computing systems to distribute workload on multiple cores with reduced execution frequencies so that overall system energy efficiency improves while meeting performance goals. Thus it is necessary to adopt the design paradigm of multiprocessing for low-power embedded systems due to the ever- increasing demands for application performance and stringent limitations on power dissipation. In this dissertation we focus on the problem of resource management for multicore embedded systems powered by solar energy harvesting. We have conducted a substantial amount of research on this topic, which has led to the design of a semi-dynamic resource management framework designed with emphasis on efficiency and flexibility that can be applied to energy harvesting-powered systems with a variety of functionality, performance, energy, and reliability goals. The capability and flexibility of the proposed semi-dynamic framework are verified by issues we have addressed with it, including: (i) minimizing miss rate/miss penalty of systems with energy harvesting, (ii) run-time thermal control, (iii) coping with process variation induced core-to-core heterogeneity, (iv) management of hybrid energy storage, (v) scheduling of task graphs with inter-node dependencies, (vi) addressing soft errors during execution, (vii) mitigating aging effects across the chip over time, and (vii) supporting mixed- criticality scheduling on heterogeneous processors.

Adviser: Dr. Sudeep Pasricha
Co-Adviser: N/A
Non-ECE Member: Dr. Michelle Mills Strout
Member 3: Dr. H. J. Siegel
Addional Members: Dr. Anura Jayasumana

Y. Xiang, S. Pasricha, "Run-Time Management for Multi-Core Embedded Systems with Energy Harvesting", IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2014.

Y. Xiang, S. Pasricha, "Fault-Aware Application Scheduling in Low Power Embedded Systems with Energy Harvesting", ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2014.

Y. Xiang, S. Pasricha, "A Hybrid Framework for Application Allocation and Scheduling in Multicore Systems with Energy Harvesting", ACM Great Lakes Symposium on VLSI (GLSVLSI), 2014.

B. Donohoo, C. Ohlsen, S. Pasricha, C. Anderson, Y. Xiang, "Context-Aware Energy Enhancements for Smart Mobile Devices", IEEE Transactions on Mobile Computing (TMC), 2013.

Y. Xiang, S. Pasricha, "Harvesting-Aware Energy Management for Multicore Platforms with Hybrid Energy Storage", ACM Great Lakes Symposium on VLSI (GLSVLSI), 2013.

Y. Xiang, S. Pasricha, "Thermal-Aware Semi-Dynamic Power Management for Multicore Systems with Energy Harvesting", IEEE International Symposium on Quality Electronic Design (ISQED), 2013.

Y. Zou, Y. Xiang, S. Pasricha, "Characterizing Vulnerability of Network Interfaces in Embedded Chip Multiprocessors", IEEE Embedded System Letters, 4(2), Jun 2012.

Y. Zou, Y. Xiang, S. Pasricha, “Analysis of On-chip Interconnection Network Interface Reliability in Multicore Systems”, IEEE International Conference on Computer Design (ICCD), 2011.

Program of Study:
ECE 658
CS 545
ECE 514
CS 575
ECE 661
GRAD 511
CS 475
ECE 561