The CEITRES@UCR (IRES) program supported a cohort of four UCR students for the summer of 2022.

The cohort consisted of ten undergraduate students, among them seven students finish the whole programs (training plus the summer program)

• Vy Vo  (female) is a Computer Science student who worked on approximate computing and VLSI chip design
• Thomas Piibe is an Electrical Engineering  student, who worked on the thermal/power modeling and analysis for commercial multi-core CPUs

The involved students work from January 2022 to Nov. 2022. Due to the covid-19 pandemic impacts and travel restriction, all the IRES students worked locally in UCR. 

Collaborative research work:

During the program, the students conducted cutting edge research in applying machine learning to solve several problems in VLSI design automation with focus on the reliability and thermal related issues in VLSI design. Namely, the students helped with the ongoing development of a machine learning based thermal modeling scheme that can be used for post-silicon thermal characterization of commercial high-performance microprocessors. With the aforementioned thermal model, the students further aided in the development of a dynamic thermal/power control scheme by exploiting the dynamic-voltage-and-frequency-scaling control knobs that are available in Intel core processors. Additionally, students also explore thermal modeling for commercial TPUs for the first time.