Location History:
- Mountain View, CA (US) (2022)
- San Jose, CA (US) (2022 - 2023)
Company Filing History:
Years Active: 2022-2023
Title: Pranith Kumar Denthumdas: Innovator in Memory Systems
Introduction
Pranith Kumar Denthumdas is a notable inventor based in San Jose, CA. He has made significant contributions to the field of memory systems, holding a total of 3 patents. His work focuses on enhancing the efficiency and functionality of multi-node systems.
Latest Patents
One of his latest patents is titled "System and methods for reducing global coherence unit snoop filter lookup via local memories." This invention addresses the challenges in multi-node systems by incorporating tiles that include a cache controller, local cache, and snoop filter cache. The cache controller efficiently checks the local cache for data associated with memory access requests, optimizing the process of data retrieval.
Another significant patent is the "Mergeable counter system and method." This system features a first counter that can increment or decrement based on triggering events and is designed to overflow. The innovation lies in merging this first counter with a second counter upon detecting an overflow, thereby creating a third counter that enhances the system's functionality.
Career Highlights
Pranith Kumar Denthumdas is currently employed at Marvell Asia Pte., Ltd., where he continues to develop innovative solutions in memory systems. His expertise and contributions have positioned him as a valuable asset in the technology sector.
Collaborations
Throughout his career, Pranith has collaborated with talented individuals such as Rabin Sugumar and Isam Wadih Akkawi. These collaborations have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
Pranith Kumar Denthumdas is a distinguished inventor whose work in memory systems has led to multiple patents and significant advancements in technology. His contributions continue to shape the future of multi-node systems and memory efficiency.