Company Filing History:
Years Active: 2017
Title: Alexey Pynko: Innovator in Multi-Core Systems
Introduction
Alexey Pynko is a notable inventor based in Irvine, CA (US). He has made significant contributions to the field of multi-core systems, particularly with his innovative patent that enhances transaction control in processing systems. His work is recognized for its potential to improve the efficiency and performance of computing systems.
Latest Patents
Alexey Pynko holds a patent for a "Multi-core system with central transaction control." This invention provides a multi-core system that includes a lower subsystem with a first processor and several slave processing cores. Each slave processing core can function as a coprocessor or a digital signal processor. The first processor is designed to manage processing on the slave cores and features a system dispatcher that controls transactions for execution. The system dispatcher generates the transactions to be executed on the slave processing cores, ensuring efficient processing. Additionally, the first processor includes hardware drivers that facilitate the transfer of transactions from the system dispatcher to the slave processing cores for execution.
Career Highlights
Alexey Pynko is currently employed at Mindspeed Technologies, Inc., where he continues to develop innovative solutions in the field of multi-core processing. His expertise in this area has positioned him as a valuable asset to his company and the broader technology community.
Collaborations
Throughout his career, Alexey has collaborated with notable colleagues, including Michael C. Whitfield and Jason Brent. These collaborations have contributed to the advancement of technology in multi-core systems and have fostered a productive working environment.
Conclusion
Alexey Pynko's contributions to multi-core systems through his patent and work at Mindspeed Technologies, Inc. highlight his role as an influential inventor in the technology sector. His innovative approach to transaction control in processing systems showcases the potential for improved efficiency in computing.