Austin, TX, United States of America

Mark LaVine


Average Co-Inventor Count = 7.0

ph-index = 2

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2000-2001

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2 patents (USPTO):Explore Patents

Title: Mark LaVine: Innovator in Hardware Description Language Design

Introduction

Mark LaVine is a notable inventor based in Austin, TX, who has made significant contributions to the field of hardware description language (HDL) design. With a total of 2 patents, LaVine's work focuses on enhancing the verification methodologies for computer system components.

Latest Patents

LaVine's latest patents include a "Memory Incoherent Verification Methodology" and a "Verification Strategy Using External Behavior Modeling." The first patent describes a system and method for memory incoherent verification of functionality in HDL designs. This innovation allows a simulated model of the HDL design to receive memory read stimuli and send responses through simulated buses, enabling independent evaluation of memory operations without prior write operations. The second patent outlines a verification system that employs two different buses to apply stimuli and resolve bus cycles, achieving effective decoupling of the test stimulus from the checking environment. This decoupling enhances the robustness of the test environment, allowing for random responses and error injection.

Career Highlights

Mark LaVine is currently employed at Advanced Micro Devices Corporation, a leading company in the semiconductor industry. His work at AMD focuses on improving the verification processes for HDL designs, contributing to the development of more reliable computer system components.

Collaborations

LaVine collaborates with talented coworkers, including Mike Lowe and Jelena Ilic, who share his commitment to innovation in the field of hardware design.

Conclusion

Mark LaVine's contributions to HDL design and verification methodologies have positioned him as a key figure in the semiconductor industry. His innovative patents reflect a deep understanding of the complexities involved in computer system functionality.

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