Santa Clara, CA, United States of America

Jingwei Zhang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Jingwei Zhang in Floating-Point Power Operations

Introduction

Jingwei Zhang is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of floating-point power operations, particularly through his innovative patent. His work focuses on enhancing the performance and efficiency of power function operations.

Latest Patents

Jingwei Zhang holds a patent titled "Execution circuitry for floating-point power operation." This patent discloses techniques related to dedicated power function circuitry for a floating-point power instruction. The execution circuitry is designed to evaluate the power function xas 2. Additionally, the base-2 logarithm circuitry evaluates a base-2 logarithm for a first input, such as logx, by determining coefficients for a polynomial function. The multiplication circuitry then multiplies the base-2 logarithm result by a second input to generate a multiplication result. The base-2 power function circuitry evaluates a base-2 power function for the multiplication result. These techniques aim to increase performance and reduce power consumption of floating-point power function operations while maintaining reasonable area and accuracy compared to traditional methods. Jingwei Zhang has 1 patent to his name.

Career Highlights

Jingwei Zhang is currently employed at Apple Inc., where he continues to innovate and contribute to advancements in technology. His work is pivotal in enhancing the efficiency of computational processes.

Collaborations

Jingwei has collaborated with notable colleagues, including Ali Sazegari and Segev Elmalem, who share a commitment to pushing the boundaries of technology and innovation.

Conclusion

Jingwei Zhang's contributions to floating-point power operations exemplify the impact of innovative thinking in technology. His patent reflects a commitment to improving performance and efficiency in computational tasks.

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