Vishal Verma

Title: Innovations by Vishal Verma

Introduction

Vishal Verma is an accomplished inventor based in Chandler, AZ (US). He has made significant contributions to the field of technology, particularly in the areas of processor resource utilization and deep learning neural networks. With a total of 3 patents to his name, Verma continues to push the boundaries of innovation.

Latest Patents

One of Vishal Verma's latest patents is titled "Adaptive processor resource utilization." This invention relates to polling for input/output transactions of a network interface, storage device, or any peripheral device. The technology monitors clock cycles spent checking for the presence of input/output (I/O) events and processing those events. It also tracks clock cycles spent checking for I/O events without completing them. The core utilization can be adjusted based on these clock cycles, allowing for frequency adjustments to optimize performance.

Another notable patent is "Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures." This invention provides systems and methods that identify different sets of compute nodes, optimizing their configurations to minimize completion time differences for neural network workloads. The technology applies these configurations to enhance the efficiency of processing across various nodes.

Career Highlights

Vishal Verma is currently employed at Intel Corporation, where he leverages his expertise to develop cutting-edge technologies. His work focuses on enhancing processor efficiency and optimizing resource utilization in computing systems.

Collaborations

Throughout his career, Verma has collaborated with notable colleagues, including Gang Cao and James R. Harris. These partnerships have contributed to the advancement of innovative solutions in the tech industry.

Conclusion

Vishal Verma's contributions to technology through his patents and work at Intel Corporation highlight his role as a leading inventor in the field. His innovative approaches to processor utilization and deep learning continue to shape the future of computing.