Ilya Sharapov

Title: Ilya Sharapov: Innovator in Dynamic Power Steering Technologies

Introduction

Ilya Sharapov is a prominent inventor based in San Jose, CA, known for his contributions to the field of computer systems and power management. With a total of 5 patents to his name, Sharapov has made significant strides in enhancing the efficiency of computational resources.

Latest Patents

One of his latest patents is titled "Systems and methods for dynamic spatial power steering." This invention provides a framework for dynamic spatial power steering among multiple power domains within a computer system, tailored to the specific phases of an application. The method involves determining various phases corresponding to an application, assessing spatial power distribution based on performance metrics, and applying this distribution to optimize power usage across different domains.

Another notable patent is "Dynamic hierarchical performance balancing of computational resources." This invention outlines a system where networked computational resources are organized hierarchically. Performance balancers within this hierarchy analyze performance samples from subordinate resources and redistribute power from faster to slower resources to enhance overall performance, particularly in parallel processing scenarios.

Career Highlights

Ilya Sharapov is currently employed at Intel Corporation, where he continues to innovate and develop cutting-edge technologies. His work focuses on improving the efficiency and performance of computational systems, making significant contributions to the field.

Collaborations

Sharapov has collaborated with notable colleagues, including Jonathan M Eastep and Richard J Greco, who share his commitment to advancing technology in the realm of power management and computational efficiency.

Conclusion

Ilya Sharapov's innovative work in dynamic power steering technologies has positioned him as a key figure in the field of computer systems. His patents reflect a deep understanding of performance optimization, contributing to the ongoing evolution of computational resources.