Sunnyvale, CA, United States of America

Lamont Benaresh


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2007-2010

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2 patents (USPTO):Explore Patents

Title: Innovations by Lamont Benaresh

Introduction

Lamont Benaresh is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of data storage systems, holding a total of 2 patents. His work focuses on improving the efficiency and reliability of data access in storage systems.

Latest Patents

One of Lamont's latest patents is titled "Accessing data storage systems without waiting for read errors." This patent discloses improved techniques for accessing data storage systems that detect, correct, and prevent undesirable access delays. The term 'slow-access' refers to an access operation that does not successfully complete within a predetermined amount of time. When such a delay is detected, the system attempts to provide data through alternative means rather than waiting for the access operation to complete. For instance, parity information can be utilized to generate data instead of waiting for a 'slow-read' operation to finish. Additionally, preventative measures can be implemented to avoid the recurrence of slow-access issues once identified. These measures may include rewriting data to the same section that caused the problem or remapping the section to prevent future delays.

Career Highlights

Lamont Benaresh is currently employed at Apple Inc., where he continues to innovate and develop solutions for data storage challenges. His expertise in this area has made him a valuable asset to the company.

Collaborations

Some of Lamont's notable coworkers include Michael Eng and David Wong. Their collaboration has contributed to the advancement of technology in data storage systems.

Conclusion

Lamont Benaresh's work in improving data storage access techniques showcases his innovative spirit and dedication to enhancing technology. His contributions are significant in the ongoing evolution of data management systems.

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