New York, NY, United States of America

Ronald A Felice

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: The Innovative Mind of Ronald A. Felice

Introduction

Ronald A. Felice is a notable inventor based in New York, NY, recognized for his contributions to the field of distributed computing. With a focus on enhancing workload processing, Felice has developed innovative methods that streamline computational tasks across various devices. His work exemplifies the intersection of technology and efficiency.

Latest Patents

Felice holds a patent for a "Method and system for distributed workload processing." This invention outlines a method for distributing a compute model and data to heterogeneous and distributed compute devices. The process involves benchmarking a system to estimate job execution speeds for each compute device. Based on these estimates, data chunks are assigned to selected compute devices, ensuring that distributed processing is completed within a predefined time period. The compute model and data can be transmitted to the respective devices through separate processes, enhancing the overall efficiency of data handling.

Career Highlights

Throughout his career, Ronald A. Felice has made significant strides in the realm of computing. His innovative approach to workload distribution has positioned him as a key figure in the industry. Working at Sailion Inc., he has contributed to the development of advanced computing solutions that address the challenges of modern data processing.

Collaborations

Felice collaborates with talented individuals in his field, including his coworker Tyler Gross. Together, they work on projects that push the boundaries of technology and improve computational efficiency.

Conclusion

Ronald A. Felice's contributions to distributed workload processing highlight his innovative spirit and dedication to advancing technology. His patent and work at Sailion Inc. reflect a commitment to improving how computational tasks are managed across diverse systems.

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