Jean-Yves Leclerc

Title: Innovations by Jean-Yves Leclerc

Introduction

Jean-Yves Leclerc is a notable inventor based in Los Altos, California. He has made significant contributions to the field of computer science, particularly in task scheduling systems and pipeline computing. With a total of 2 patents, his work has had a considerable impact on the efficiency of computational processes.

Latest Patents

One of his latest patents is the "Multiprocessor Task Scheduling System." This invention involves creating a task status word (TSW) for each task, which indicates the task's location, priority, and synchronization signals. The TSWs are stored in an addressable memory section and are used to control functions that synchronize tasks across different processors and input-output processors. A physical memory manager locates TSWs based on signals, ensuring efficient task management.

Another significant patent is the "Variable Delay Branch System." This system monitors current instructions in a pipeline computer for branch commands and condition codes. It allows for prefetching target instructions during a delay interval, preventing pipeline breaks and optimizing execution time. The system effectively manages branch commands, ensuring that instructions are executed only when conditions are met, thus enhancing overall performance.

Career Highlights

Jean-Yves Leclerc is currently employed at Evans & Sutherland Computer Corporation, where he continues to innovate in the field of computer technology. His work has been instrumental in advancing the capabilities of computational systems.

Collaborations

Throughout his career, Jean-Yves has collaborated with talented individuals such as Carole Dulong and Patrick Scaglia. These collaborations have contributed to the development of groundbreaking technologies in the industry.

Conclusion

Jean-Yves Leclerc's contributions to computer science through his patents and work at Evans & Sutherland Computer Corporation highlight his role as a significant innovator in the field. His inventions continue to influence the efficiency of computational processes and pave the way for future advancements.