Hongfeng Dong

Title: Innovations of Hongfeng Dong

Introduction

Hongfeng Dong is a notable inventor based in Acton, MA (US). He has made significant contributions to the field of technology, particularly in the area of computation and data processing. With a total of 2 patents, his work has garnered attention for its innovative approaches.

Latest Patents

One of his latest patents is titled "Instruction applicable to radix-3 butterfly computation." This invention includes a device that comprises a processor and a memory configured to store instructions. The processor is designed to receive a specific instruction and execute it to generate output data based on input data. Additionally, it performs a divide operation on the second input data, producing a difference corresponding to the first input data and the result of the divide operation.

Another significant patent is the "Permutation instruction." This device features a vector register file, a memory, and a processor. The vector register file contains multiple vector registers, while the memory stores a permutation instruction. The processor accesses a periodicity parameter that indicates the count of various data sources containing source data for the permutation instruction. It executes the permutation instruction to select data sources and populate elements based on values from the selected data sources.

Career Highlights

Hongfeng Dong is currently employed at Qualcomm Incorporated, a leading company in the technology sector. His work at Qualcomm has allowed him to explore and develop innovative solutions that enhance computational efficiency and data processing capabilities.

Collaborations

Some of his notable coworkers include Srijesh Sudarsanan and Marc M Hoffman. Their collaboration has contributed to the advancement of technology and innovation within their projects.

Conclusion

Hongfeng Dong's contributions to technology through his patents and work at Qualcomm Incorporated highlight his role as an influential inventor. His innovative approaches to computation and data processing continue to impact the field positively.