Sunnyvale, CA, United States of America

Sahil Sabharwal


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2018

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Sahil Sabharwal: Innovator in Cache Memory Technology

Introduction

Sahil Sabharwal is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of cache memory technology, holding a total of 2 patents. His work focuses on improving the efficiency of cache memory systems, which are crucial for enhancing computer performance.

Latest Patents

Sahil's latest patents include innovative methods for victim selection in cache memory. One of his patents, titled "Counter-based victim selection in a cache memory," describes a set-associative cache memory that utilizes a bank of counters. Each counter corresponds to a cache line stored in various congruence classes. This invention allows the cache memory to pre-select a victim cache line for eviction based on counter values, optimizing memory access requests. Another patent under the same title further elaborates on the dynamic distribution of counter values and how they are adjusted during cache misses, enhancing the overall efficiency of cache memory systems.

Career Highlights

Sahil Sabharwal is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of computer technology. His work has been instrumental in advancing cache memory systems, which play a vital role in modern computing.

Collaborations

Sahil has collaborated with esteemed colleagues such as Bernard Charles Drerup and Ram Raghavan. Their combined expertise has contributed to the development of cutting-edge technologies in the realm of cache memory.

Conclusion

Sahil Sabharwal's contributions to cache memory technology through his patents and collaborations highlight his role as an influential inventor in the tech industry. His work continues to impact the efficiency of computing systems today.

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