Kawasaki, Japan

Yoshimasa Takebe

USPTO Granted Patents = 10 


Average Co-Inventor Count = 2.0

ph-index = 4

Forward Citations = 50(Granted Patents)


Company Filing History:


Years Active: 2006-2014

Loading Chart...
Loading Chart...
10 patents (USPTO):Explore Patents

Title: The Innovations of Yoshimasa Takebe

Introduction

Yoshimasa Takebe is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the field of technology, particularly in the area of vector processing and branch prediction systems. With a total of 10 patents to his name, Takebe's work has had a lasting impact on the industry.

Latest Patents

Among his latest patents is a vector processing circuit that includes a vector register file with multiple array elements, a command issuance control circuit, and several pipeline arithmetic units. Each pipeline arithmetic unit is designed to perform arithmetic processing of data stored in the array elements indicated as a source by one command over multiple cycles, storing the results in the designated destination array elements. Additionally, he has developed a branch prediction method and circuit that features a memory for storing information about branch instructions and predictions, along with a control circuit that manages the rewriting of this information based on the results of branch predictions.

Career Highlights

Yoshimasa Takebe has worked with notable companies such as Fujitsu Corporation and Fujitsu Microelectronics Limited. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking technologies.

Collaborations

Throughout his career, Takebe has collaborated with talented individuals, including Shinichiro Tago and Teruhiko Kamigata. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Yoshimasa Takebe's contributions to the field of technology through his patents and collaborations highlight his role as a leading inventor. His work continues to influence advancements in vector processing and branch prediction systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…