Tzur-Igal, Israel

Tzachi Cohen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Tzachi Cohen: Innovator in Computational Methods

Introduction

Tzachi Cohen is a notable inventor based in Tzur-Igal, Israel. He has made significant contributions to the field of computational methods, particularly in the area of processing pipelines. With a total of two patents to his name, Cohen's work focuses on enhancing the efficiency of data processing through innovative techniques.

Latest Patents

Cohen's latest patents include "Fine-grained pipelining using index space mapping" and "Index space mapping using static code analysis." The first patent describes a method for computing that defines a processing pipeline with producer and consumer processors. This method allows for the execution of work units before all producer processors have completed their tasks, thereby improving processing efficiency. The second patent involves applying static code analysis to software source code to break down computational tasks into independent work units. This approach defines an index space for the work units and computes mapping parameters to optimize data access in the buffer.

Career Highlights

Cohen is currently employed at Habana Labs Ltd., where he continues to develop innovative solutions in computational processing. His work has garnered attention for its potential to enhance the performance of various computing systems.

Collaborations

Some of Cohen's coworkers include Michael Zuckerman and Doron Singer, who contribute to the collaborative environment at Habana Labs Ltd. Their combined expertise fosters innovation and drives advancements in computational technologies.

Conclusion

Tzachi Cohen's contributions to the field of computational methods through his patents and work at Habana Labs Ltd. highlight his role as an influential inventor. His innovative approaches to processing pipelines are paving the way for more efficient computing solutions.

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