Company Filing History:
Years Active: 2019-2022
Title: Andrew Anzhou Hou: Innovator in Data-Centric Computing
Introduction
Andrew Anzhou Hou is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of data-centric heterogeneous computing. With a total of 5 patents to his name, Hou is recognized for his innovative approaches to processing data efficiently.
Latest Patents
One of his latest patents is titled "Userspace split data-centric heterogeneous computing architecture." This invention outlines a method where an application running on a host CPU can notify a coprocessor or accelerator that inbound data is ready for processing. The coprocessor then delegates an IO command back to the host CPU, which forwards it to the operating system. This process initiates a P2PDMA to transmit data to the coprocessor's memory, allowing for efficient data processing.
Another notable patent is focused on "Methods, devices, and computer program products for processing data." This method involves determining whether an event occurs that triggers data processing at a storage device. If the available resources exceed a predetermined threshold, the storage device processes the data and provides it to the computing device. This adaptive allocation of operations enhances the computing efficiency of the entire data processing system.
Career Highlights
Andrew Anzhou Hou is currently associated with Emc IP Holding Company LLC, where he continues to innovate in the field of computing. His work has been instrumental in advancing technologies that leverage both storage and computing capabilities.
Collaborations
Throughout his career, Hou has collaborated with notable professionals, including Jinpeng Liu and Christopher S MacLellan. These collaborations have contributed to the development of cutting-edge technologies in data processing.
Conclusion
Andrew Anzhou Hou stands out as a key figure in the realm of data-centric computing. His innovative patents and contributions to the field reflect his commitment to enhancing computing efficiency and processing capabilities.