Brooklyn, NY, United States of America

Clément Farabet


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Clément Farabet: Innovator in Dataflow Processing Technology

Introduction

Clément Farabet is a notable inventor based in Brooklyn, NY, recognized for his contributions to the field of dataflow processing technology. With a focus on enhancing computational efficiency, Farabet has developed innovative solutions that push the boundaries of traditional processing architectures.

Latest Patents

Farabet holds a patent for a "Runtime reconfigurable dataflow processor with multi-port memory access module." This advanced processor design includes a plurality of processing tiles, each configured at runtime to perform configurable operations. A first subset of tiles operates in a pipeline to execute a first plurality of operations in parallel, while a second subset performs a second plurality of operations concurrently. The design also features a multi-port memory access module that connects to the processing tiles via a data bus, allowing simultaneous data access for multiple tiles. This architecture is controlled by a runtime bus that configures the tiles and memory access module to execute complex computations efficiently.

Career Highlights

Clément Farabet is affiliated with New York University, where he contributes to research and development in advanced computing technologies. His work focuses on creating innovative solutions that enhance the performance and flexibility of data processing systems.

Collaborations

Farabet has collaborated with prominent figures in the field, including Yann Andre LeCun, furthering the impact of his research and innovations in dataflow processing.

Conclusion

Clément Farabet's work in developing a runtime reconfigurable dataflow processor exemplifies his commitment to advancing technology in computing. His contributions continue to influence the landscape of data processing and computational efficiency.

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