Kawasaki, Japan

Junji Nishioka


Average Co-Inventor Count = 9.9

ph-index = 3

Forward Citations = 101(Granted Patents)


Company Filing History:


Years Active: 1999-2000

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3 patents (USPTO):

Title: **Innovator Spotlight: Junji Nishioka and His Patented Contributions**

Introduction

Junji Nishioka, a prominent inventor based in Kawasaki, Japan, has made significant strides in the field of multiprocessor technology. With a total of three patents to his name, his innovative work focuses on enhancing memory accessing methods in multiprocessor systems, which play a crucial role in modern computing.

Latest Patents

Nishioka's latest patents include designs for a multiprocessor system that consists of multiple processors connected through a system bus. This advanced architecture features several components including processor groups, main storage memory, cache memory, cache control units, directory memory, and directory control units. Notably, the directory control unit is equipped with an invalidation command issuing unit that efficiently issues cache line invalidation commands. This innovation enables the reduction of cache invalidation command frequency from the cache memory, leading to shorter device processing times.

Career Highlights

Throughout his career, Junji Nishioka has been associated with reputable companies such as Fujitsu Corporation and PFU Limited. His extensive experience in these organizations has allowed him to refine his expertise in processor technologies and contribute meaningful advancements to the industry.

Collaborations

During his professional journey, Nishioka has collaborated with fellow innovators Akira Kabemoto and Toshiyuki Muta. Their collective efforts have driven research and developments that are pivotal in the world of computing, particularly in multiprocessor functionalities.

Conclusion

Junji Nishioka's contributions to multiprocessor technology through his innovative patents highlight his role as a significant figure in the field. His dedication to advancing memory access methods continues to influence the development of efficient computing systems, reflecting the importance of innovation in driving technology forward.

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