Boulogne Billancourt, France

Kelun Chai

This inventor holds 1 USPTO granted patent. Top assignee: Huawei Technologies Co., Limited. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Kelun Chai in Parallel Computing

Introduction

Kelun Chai is an accomplished inventor based in Boulogne Billancourt, France. He has made significant contributions to the field of neural networks through his innovative patent. His work focuses on enhancing parallel computing schemes, which are crucial for efficient data processing in modern technology.

Latest Patents

Kelun Chai holds a patent titled "Parallel computing scheme generation for neural networks." This invention involves a device that receives a computation graph and transforms it into a dataflow graph comprising recursive subgraphs. Each recursive subgraph includes a tuple of another recursive subgraph and an operator node, or it may be an empty graph. The device determines a number of partitioning recursions based on the available parallel computing devices. For each partitioning recursion, it assesses costs related to operator nodes, establishes a processing order for the recursive subgraphs, and processes them accordingly. The device selects a partitioning axis for tensors associated with the operator nodes of the recursive subgraphs and outputs a partitioning scheme that includes partitioning axes for each tensor.

Career Highlights

Kelun Chai is currently employed at Huawei Technologies Co., Limited, where he continues to push the boundaries of technology through his research and development efforts. His work has been instrumental in advancing the capabilities of neural networks and parallel computing.

Collaborations

He collaborates with notable colleagues, including Thibaut Tachon and Hongxing Wang, who contribute to the innovative projects at Huawei Technologies.

Conclusion

Kelun Chai's contributions to parallel computing and neural networks exemplify the impact of innovation in technology. His patent reflects a deep understanding of computational efficiency and the future of data processing.

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