Hillsboro, OR, United States of America

Tingting Sha

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2016.


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Innovations by Tingting Sha

Introduction

Tingting Sha is an accomplished inventor based in Hillsboro, OR (US). She has made significant contributions to the field of technology, particularly in the area of load handling in computing systems. Her innovative approach combines software and hardware to enhance performance while minimizing power consumption.

Latest Patents

Tingting Sha holds a patent titled "Compiler assisted low power and high performance load handling based on load types." This patent describes a method and apparatus for managing low power and high performance loads. The invention utilizes software, such as a compiler, to identify various types of loads, including producer loads, consumer reuse loads, and consumer forwarded loads. By leveraging this identification, the hardware can efficiently direct the performance of the load to a load value buffer, a store buffer, or a data cache. This innovative approach reduces cache accesses by allowing direct loading from load and store buffers, all while maintaining high load performance. She has 1 patent to her name.

Career Highlights

Tingting Sha is currently employed at Intel Corporation, where she continues to push the boundaries of technology. Her work focuses on optimizing load handling processes, which is crucial for enhancing the efficiency of computing systems.

Collaborations

Throughout her career, Tingting has collaborated with notable colleagues, including Chris Wilkerson and Herbert H Hum. These collaborations have further enriched her work and contributed to the advancement of innovative technologies.

Conclusion

Tingting Sha is a pioneering inventor whose work in load handling technology exemplifies the intersection of software and hardware innovation. Her contributions are vital to the ongoing evolution of efficient computing systems.

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