Company Filing History:
Years Active: 2022-2024
Title: Pierre Seroul: Innovator in Computing Infrastructure
Introduction
Pierre Seroul is a notable inventor based in Sinard, France, recognized for his contributions to the field of computing infrastructure. With a total of five patents to his name, he has made significant advancements in methods and devices that enhance the efficiency and reliability of complex computing systems.
Latest Patents
Among his latest patents is a method and device for determining at least one machine involved in an anomaly detected in a complex computing infrastructure. This innovative approach involves associating each machine with a state vector constructed using various metrics and logs, along with a time window. By monitoring these vectors, anomalies can be detected and explained, allowing for the assignment of an involvement indicator to each machine, ultimately identifying the most involved machine.
Another significant patent is a method for scheduling a set of computing tasks in a supercomputer. This method incorporates offline reinforcement learning (OFRL) of a scheduler on a learning database. The database includes execution history that captures the state of a learning supercomputer at various moments, along with actions related to task scheduling and associated rewards. This trained scheduler is then utilized for scheduling computing tasks effectively.
Career Highlights
Throughout his career, Pierre Seroul has worked with prominent organizations such as Bull SAS and the Commissariat à l'Énergie Atomique et aux Énergies Alternatives. His experience in these companies has contributed to his expertise in developing innovative solutions for computing challenges.
Collaborations
Pierre has collaborated with talented individuals in his field, including Emeric Dynomant and Kaoutar Sghiouer. These collaborations have further enriched his work and led to advancements in technology.
Conclusion
Pierre Seroul stands out as an influential inventor in the realm of computing infrastructure, with a focus on anomaly detection and task scheduling. His innovative patents and career achievements reflect his commitment to enhancing the efficiency of complex computing systems.