Chengdu, China

Zhongzhi Liu


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 76(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Innovations of Zhongzhi Liu in Memory Access Technology

Introduction

Zhongzhi Liu is a notable inventor based in Chengdu, China. He has made significant contributions to the field of memory access technology, particularly in the development of advanced Direct Memory Access (DMA) engines. His work focuses on enhancing the performance of System On a Chip (SoC) devices.

Latest Patents

Zhongzhi Liu holds a patent for a "Logical address direct memory access with multiple concurrent physical ports and internal switching." This innovative DMA engine is designed for high-performance SoC devices that require efficient management of multiple concurrent on-chip and off-chip memory spaces. The engine operates using either logical or physical addressing methods and offers random and sequential mapping functions from logical to physical addresses. It supports frequent context switching among numerous logical address spaces, ensuring optimal performance. The invention also incorporates per direction queuing and an internal switch to facilitate non-blocking concurrent data transfers in multiple directions. Additionally, a caching technique can be utilized to minimize the overhead associated with address translation.

Career Highlights

Zhongzhi Liu is currently employed at PMC-Sierra US, Inc., where he continues to innovate in the field of memory access technologies. His expertise and contributions have positioned him as a key figure in the development of advanced SoC solutions.

Collaborations

Zhongzhi Liu has collaborated with several talented individuals, including coworkers Babysaroja Annem and Heng Liao. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Zhongzhi Liu's work in memory access technology exemplifies the innovative spirit of modern inventors. His contributions are paving the way for more efficient and powerful computing solutions.

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