Skip to main content
Open Access Publications from the University of California


UCLA Electronic Theses and Dissertations bannerUCLA

Design, Evaluation and Co-optimization of Emerging Devices and Circuits


The continued push for traditional Silicon technology scaling faces the main challenge of non-scaling power density. Exploring alternative power-efficient technologies is essential for sustaining technology development. Many emerging technologies have been proposed as potential replacement for Silicon technology. However, these emerging technologies need rigorous evaluation in the contexts of circuits and systems to identify their value prior to commercial investment. We have developed evaluation frameworks covering emerging Boolean logic devices, memory devices, memory systems, and integration technologies. The evaluation metrics are in terms of delay, power, and reliability. According to the evaluation results, the development of emerging Boolean logic devices is still far from being able to replace Silicon technology, but magnetic random access memory (MRAM) is a promising memory technology showing benefits in performance and energy-efficiency.

As a specific example, we co-optimize MRAM with application circuits and systems. Optimized MRAM write and read design can significantly improve the system performance. We have proposed magnetic tunnel junction (MTJ) based process and temperature variation monitor, which enables variation-aware MRAM write and read optimization. We have also proposed utilizing negative differential resistance (NDR) to enable fast and energy-efficient write and zero-disturbance read for resistive memories including MRAM. In addition, we also design and adapt MRAM technology into low-power stochastic computing system to improve energy-efficiency. To further improve the stochastic computing system, a promising VC-MTJ based true random stochastic bitstream generator is proposed and utilized.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View