Austin, TX, United States of America

Chander Sudanthi

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2011

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

Title: Chander Sudanthi: Innovator in Data Processing Technologies

Introduction

Chander Sudanthi is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of data processing, holding a total of 2 patents. His work focuses on enhancing the efficiency and performance of data processing systems.

Latest Patents

Chander's latest patents include a data processor with a hardware accelerator and a shared memory management unit. This innovative data processing system, in the form of an integrated circuit, features a general-purpose programmable processor alongside a hardware accelerator. The shared memory management unit facilitates memory management operations for both the processor core and the hardware accelerator, allowing them to share a memory system effectively. Additionally, he has developed a system that improves the efficiency of cache memory operations. This processing system includes a memory and a cache memory, equipped with a page status unit that provides the cache controller with indications of open pages in memory. This advancement enhances the efficiency and speed of the processing system.

Career Highlights

Chander Sudanthi is currently employed at Arm Limited, where he continues to innovate in the field of data processing technologies. His work has been instrumental in developing systems that optimize performance and efficiency.

Collaborations

Chander collaborates with talented individuals such as Stuart David Biles and Nigel C Paver, contributing to a dynamic work environment that fosters innovation.

Conclusion

Chander Sudanthi's contributions to data processing technologies through his patents and work at Arm Limited highlight his role as a significant inventor in the field. His innovations continue to shape the future of data processing systems.

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