Company Filing History:
Years Active: 2020
Title: Innovations by Xiaowen Huang
Introduction
Xiaowen Huang is a notable inventor based in Beijing, China. He has made significant contributions to the field of communication networks. His work focuses on enhancing the efficiency and performance of interconnection networks.
Latest Patents
Xiaowen Huang holds a patent for a "Communication locality oriented high-radix interconnection network and adaptive routing algorithm design." This invention proposes a new communication locality oriented high-radix (CLHR) network. In this hierarchical architecture, the lowest level includes routers or servers, called level-0; the upper level is composed of groups of routers or servers, called level-1. For the highest level, a number of level-(l−1) groups establish level-1 groups. A new deadlock-free adaptive routing algorithm is proposed for the CLHR network. On one hand, the proposed minus-first routing (MFR) algorithm or plus-first routing algorithm implements deadlock-free partially-adaptive routing without any virtual channel, ensuring that the number of communication hops between two nodes is no more than five. On the other hand, this invention presents a fully adaptive routing algorithm that uses the MFR algorithm as the baseline routing with a new flow control scheme. The CLHR network and the new routing algorithm effectively improve performance, save energy, enhance separation capabilities, and resist disturbances.
Career Highlights
Xiaowen Huang is affiliated with Tsinghua University, where he continues to engage in innovative research. His work has garnered attention for its practical applications in communication technology.
Collaborations
Xiaowen Huang has collaborated with notable colleagues, including Dong Xiang and Yuan Cai. Their joint efforts contribute to advancements in the field of communication networks.
Conclusion
Xiaowen Huang's innovative work in communication networks exemplifies the potential for technology to improve efficiency and performance. His contributions are significant in the realm of adaptive routing algorithms and interconnection networks.