Company Filing History:
Years Active: 2019-2024
Title: Haijiao Cai: Innovator in Neural Network Memory Management
Introduction
Haijiao Cai is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of neural networks, particularly in memory management. With a total of 16 patents to his name, Cai continues to push the boundaries of technology and innovation.
Latest Patents
One of his latest patents is titled "Memory pre-allocation for forward calculation in a neural network." This invention provides a method for pre-allocating memory, an electronic device, and a medium. The method involves attempting to obtain a memory block identifier from a list of idle memory block identifiers for each output from each layer. If the memory block identifier is obtained, it stores an identifier of the output and the memory block identifier into a mapping table while deleting the memory block identifier from the list of idle memory block identifiers. If not obtained, it creates a new memory block identifier, stores an identifier of the output and the new memory block identifier into a mapping table, and adds the new memory block identifier into a general list of memory block identifiers. For each input to a current layer, it puts a memory block identifier corresponding to the input into the list of idle memory block identifiers if the input is not used as an input to a subsequent layer.
Career Highlights
Haijiao Cai is currently employed at NextVPU (Shanghai) Co., Ltd., where he continues to develop innovative solutions in the field of data processing. His work has garnered attention for its practical applications and potential to enhance the efficiency of neural networks.
Collaborations
Cai collaborates with talented individuals such as Xinpeng Feng and Ji Zhou, contributing to a dynamic and innovative work environment.
Conclusion
Haijiao Cai is a notable inventor whose work in neural network memory management is paving the way for advancements in technology. His contributions are significant, and his ongoing research promises to yield further innovations in the field.