Ming Liang Milton Lei

Title: Innovations of Ming Liang Milton Lei

Introduction

Ming Liang Milton Lei is a prominent inventor based in Santa Clara, California. He has made significant contributions to the field of technology, particularly in the area of parallel processing. With a total of four patents to his name, Lei's work has had a substantial impact on the efficiency and functionality of computing systems.

Latest Patents

One of Lei's latest patents is titled "Constant memory segmentation for parallel processors." This invention describes systems and methods that partition a constant memory into several segments. In various examples, the constant memory can be divided into equally sized segments or varying sized segments. This innovative approach allows applications to store only the necessary portions of data from the constant memory in cache memory, optimizing performance.

Another notable patent is focused on "Systems and methods for multicasting data." This invention involves receiving instructions to load data into multiple register files associated with different subpartition units. By coalescing these instructions based on identifiers, the system can efficiently multicast data from the cache to the respective register files, enhancing data handling capabilities.

Career Highlights

Ming Liang Milton Lei is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and computing technology. His work at Nvidia has allowed him to explore innovative solutions that push the boundaries of technology.

Collaborations

Lei has collaborated with several talented individuals in his field, including Rajballav Dash and Jack H Choquette. These collaborations have fostered an environment of creativity and innovation, leading to the development of groundbreaking technologies.

Conclusion

Ming Liang Milton Lei's contributions to technology through his patents and work at Nvidia Corporation highlight his role as a significant inventor in the field. His innovative approaches to memory segmentation and data multicasting are paving the way for advancements in parallel processing.