Nashua, NH, United States of America

Kevin W Harris

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.5

ph-index = 5

Forward Citations = 191(Granted Patents)


Location History:

  • Roseville, MN (US) (2015)
  • Nashua, NH (US) (1994 - 2016)

Company Filing History:


Years Active: 1994-2016

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8 patents (USPTO):Explore Patents

Title: Kevin W Harris: Innovator in Computing Systems

Introduction

Kevin W Harris is a notable inventor based in Nashua, NH (US). He has made significant contributions to the field of computing systems, holding a total of 8 patents. His work primarily focuses on enhancing the execution of non-native instructions in computing environments.

Latest Patents

Harris's latest patents include innovative systems and methods for executing non-native instructions in computing systems. One of his key inventions involves a dynamic translator that utilizes instruction code translation in parallel with just-in-time (JIT) compilation. This approach allows for the efficient execution of non-native instructions by interpreting them to generate instruction codes, which are then stored in a shadow memory. When a non-native instruction is scheduled for execution, the corresponding instruction code can be retrieved from the shadow memory, thus avoiding the need for reinterpretation. Additionally, the JIT compiler compiles these instruction codes into native instructions, further enhancing execution speed and performance.

Career Highlights

Throughout his career, Kevin W Harris has worked with prominent companies such as Unisys Corporation and Digital Equipment Corporation. His experience in these organizations has contributed to his expertise in developing advanced computing solutions.

Collaborations

Harris has collaborated with notable colleagues, including Andrew T Jennings and Charles R Caldarale. These partnerships have likely fostered innovation and the exchange of ideas in the realm of computing technologies.

Conclusion

Kevin W Harris stands out as an influential inventor in the field of computing systems, with a focus on optimizing the execution of non-native instructions. His contributions continue to impact the efficiency and performance of computing technologies.

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