Company Filing History:
Years Active: 2015-2019
Title: Marat Zakirov: Innovator in Processor Architecture
Introduction
Marat Zakirov is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of processor architecture, particularly in the area of speculative execution. With a total of 2 patents, Zakirov's work is recognized for its innovative approaches to improving processor efficiency and reliability.
Latest Patents
Zakirov's latest patents include methods and apparatus to compile instructions for a vector of instruction pointers (VIP) processor architecture. One of his notable inventions involves a method that identifies a strand with a fork instruction, introducing a first speculative assumption. This method initializes a basing value before executing instructions under the first speculative assumption. It also determines whether subsequent instructions modify shared memory addresses, ensuring data integrity during speculative execution. Another patent focuses on organizing predicate dependencies between compiled instructions at control flow join points, allowing for asynchronous execution of instructions based on different speculative assumptions.
Career Highlights
Marat Zakirov is currently employed at Intel Corporation, where he continues to push the boundaries of processor technology. His work has been instrumental in developing advanced methods that enhance the performance of modern processors. Zakirov's innovative spirit and technical expertise have positioned him as a key player in the field of computer architecture.
Collaborations
Throughout his career, Zakirov has collaborated with notable colleagues, including Yevgeniy M Astigeyevich and Dmitry M Maslennikov. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Marat Zakirov's contributions to processor architecture exemplify the spirit of innovation in the tech industry. His patents reflect a deep understanding of complex computational processes and a commitment to enhancing the efficiency of modern computing systems.