Cupertino, CA, United States of America

Chien-Ping Lu

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 51(Granted Patents)


Company Filing History:


Years Active: 2010-2019

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8 patents (USPTO):Explore Patents

Title: Innovations of Chien-Ping Lu

Introduction

Chien-Ping Lu is a notable inventor based in Cupertino, California. He holds a total of eight patents, showcasing his significant contributions to the field of technology. His work primarily focuses on advanced computing systems, particularly in the area of tensor processing.

Latest Patents

One of his latest innovations is the native tensor processor. This processor calculates tensor contractions using a sum of outer products. In one implementation, the native tensor processor is designed as a single integrated circuit, which includes an input buffer and a contraction engine. The input buffer retrieves tensor elements from off-chip storage and transmits them to the contraction engine as needed. The contraction engine performs calculations equivalent to matrix multiplications, avoiding the overhead of unfolding tensors explicitly. It features multiple outer product units that facilitate matrix multiplications through a sum of outer products. This design allows for the partitioning of equivalent matrix multiplications into smaller, localized operations based on the required tensor elements.

Career Highlights

Chien-Ping Lu has worked with several prominent companies, including Novumind Limited and MediaTek Corporation. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Some of his notable coworkers include Yu-Shuen Tang and Hsilin Huang. Their collaborative efforts have likely played a role in advancing their shared projects and innovations.

Conclusion

Chien-Ping Lu's contributions to the field of tensor processing and his impressive portfolio of patents highlight his role as a leading inventor in technology. His work continues to influence advancements in computing systems.

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