This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Huawei Technologies Co., Limited. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Thibaut Tachon: Innovator in Parallel Computing for Neural Networks
Introduction
Thibaut Tachon is a notable inventor based in Boulogne Billancourt, France. He has made significant contributions to the field of computing, particularly in the area of neural networks. His innovative approach to parallel computing has garnered attention in the tech community.
Latest Patents
Thibaut Tachon 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 number of parallel computing devices available. For each partitioning recursion, it assesses costs related to operator nodes, establishes a processing order for the recursive subgraphs, and processes them accordingly. To process a recursive subgraph, the device selects a partitioning axis for tensors associated with an operator node of the recursive subgraph. Ultimately, the device outputs a partitioning scheme that includes partitioning axes for each tensor linked to the operator nodes. Thibaut Tachon has 1 patent to his name.
Career Highlights
Thibaut Tachon is currently employed at Huawei Technologies Co., Limited, where he continues to push the boundaries of technology and innovation. His work focuses on enhancing the efficiency of neural networks through advanced computing techniques.
Collaborations
Thibaut has collaborated with notable colleagues such as Chong Li and Hongxing Wang, contributing to various projects that aim to advance the field of computing.
Conclusion
Thibaut Tachon is a pioneering inventor whose work in parallel computing for neural networks is shaping the future of technology. His contributions are significant and reflect his commitment to innovation in the tech industry.