Alexander L Sushentsov

Title: Alexander L Sushentsov: Innovator in Data Optimization

Introduction

Alexander L Sushentsov is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of data optimization, holding a total of 2 patents. His work focuses on improving data locality and parallelism, which are crucial for enhancing the performance of computer programs.

Latest Patents

Sushentsov's latest patents include "Improving data locality and parallelism by code replication" and "Profile driven code motion and scheduling." The first patent provides a method, system, and article of manufacture that enhances data locality and parallelism through code replication and array contraction. This involves processing source code that includes an array of elements referenced by multiple indices, transforming it into object code by fusing loops and performing loop interchange. The second patent describes a method and apparatus for generating an optimized intermediate representation of source code. It organizes the code into basic blocks and iteratively tests modifications to improve the program's optimization.

Career Highlights

Throughout his career, Sushentsov has worked with notable companies such as Elbrus International Limited and Intel Corporation. His experience in these organizations has contributed to his expertise in data optimization and programming efficiency.

Collaborations

Sushentsov has collaborated with several professionals in his field, including Alexander Y Ostanevich and Vladimir Y Volkonsky. These collaborations have likely enriched his work and led to innovative solutions in data processing.

Conclusion

Alexander L Sushentsov is a distinguished inventor whose work in data optimization has made a significant impact in the field. His patents reflect his commitment to enhancing computer program efficiency through innovative methods.