Xiaofei Chang

Title: Innovations of Xiaofei Chang

Introduction

Xiaofei Chang is an accomplished inventor based in San Mateo, CA. He has made significant contributions to the field of computer science, particularly in the area of modulo operations. With a total of 2 patents to his name, his work has implications for efficient data processing in cache memory systems.

Latest Patents

Xiaofei Chang's latest patents focus on applications and techniques for quickly computing a modulo operation by a Mersenne or a Fermat number. Various embodiments include a modulo operation generator associated with a cache memory in a computer-based system. The modulo operation generator generates a first sum by performing an addition and/or a subtraction function on an input address. A first portion of the first sum is applied to a lookup table that generates a correction value. The correction value is then added to a second portion of the first sum to generate a second sum. The second sum is adjusted, as needed, to be less than the divisor. The adjusted second sum forms a residue value that identifies a cache memory slice in which the input data value corresponding to the input address is stored. By generating the residue value in this manner, the cache memory efficiently distributes input data values among the slices in a cache memory even when the number of slices is not a power of two.

Career Highlights

Xiaofei Chang is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in computing technology.

Collaborations

Xiaofei Chang collaborates with various professionals in his field, including his coworker Manuel Olivier Gautho. Their combined expertise fosters an environment of innovation and creativity.

Conclusion

Xiaofei Chang's contributions to the field of computer science, particularly through his patents, highlight his role as a significant inventor. His work continues to influence the efficiency of data processing in modern computing systems.