For electronic systems, energy/power consumption and reliability are critical concerns due to their impact on the system cost and the environment. My work exploits characteristics of both applications (such as real-time control and multimedia) and underlying hardware (such as GPUs and heterogeneous multi-core SoCs) to design online and offline techniques to reduce energy and improvement reliability. Below are some representative papers:
- Y. Ma, J. Zhou, T. Chantem, R. Dick, S. Wang and X. Hu, “Improving reliability of real-time embedded systems on integrated CPU and GPU platforms“, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020, pp. 2218–2229.
- J. Zhou, X. Hu, Y. Ma, J. Sun, T. Wei and S. Hu, “Improving availability of multicore real-time systems suffering both permanent and transient faults”, IEEE Transactions on Computers, 2019, pp. 1785–1801.
- T. Chantem, X. Hu and R.P. Dick, “Temperature-aware scheduling and assignment for hard real-time applications on MPSoCs?”, IEEE Transactions on VLSI Systems, 2011, pp. 1884–1897.
My former Ph.D. student, Gang Quan, and I received the Best Paper Award from 2001 Design Automation Conference for our work on power-aware scheduling for fixed-priority real-time systems. Another paper co-authored by us was recognized as one of the Most Influential Papers of 10 Years at 2007 Design, Automation, and Test in Europe Conference (DATE).
In a related research area, I have worked on acceleration techniques for computational problems that arise in medical applications. For instance, I have studied problems in radiation therapy, a minimally invasive surgical procedure that uses a set of focused beams of radiation to destroy tumors. My students, colleagues and I have introduced novel algorithms as well as GPU and FPGA based acceleration approaches for radiation treatment planning, radiation dose calculation and deformable image registration.