Jeffrey Michael Pool

Title: The Innovations of Jeffrey Michael Pool

Introduction

Jeffrey Michael Pool is a prominent inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of technology, particularly in data processing and neural networks. With a total of 10 patents to his name, Pool's work has had a substantial impact on improving computational performance.

Latest Patents

One of his latest patents is titled "Increasing Sparsity in Data Sets." This invention focuses on apparatuses, systems, and techniques designed to transform data sets, such as matrices representing layers of neural networks. The goal is to increase sparsity and enhance other characteristics of these data sets to improve performance in computations, particularly in neural network computations. In at least one embodiment, subsets of data in one or more sets are rearranged to satisfy structural sparsity constraints.

Another notable patent is "Inline Data Inspection for Workload Simplification." This invention describes a method, computer-readable medium, and processor for inline data inspection. It utilizes a decoder to decode a load instruction, which includes a signal that prompts a circuit in a processor to indicate whether the data loaded by a load instruction exceeds a threshold value. Additionally, it allows for storing an indication of whether the loaded data surpasses this threshold.

Career Highlights

Jeffrey Pool is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His work at Nvidia has allowed him to explore innovative solutions that enhance data processing capabilities.

Collaborations

Throughout his career, Pool has collaborated with notable colleagues, including Ming Yiu Siu and Andrew Robert Kerr. These collaborations have contributed to the advancement of technology in their respective fields.

Conclusion

Jeffrey Michael Pool's contributions to technology through his patents and work at Nvidia Corporation highlight his role as an influential inventor. His innovations in data processing and neural networks continue to shape the future of computational performance.