Yorktown Heights, NY, United States of America

Gabor J Dozsa


Average Co-Inventor Count = 5.8

ph-index = 4

Forward Citations = 154(Granted Patents)


Location History:

  • Ardsley, NY (US) (2011 - 2014)
  • Yorktown Heights, NY (US) (2014 - 2018)

Company Filing History:


Years Active: 2011-2018

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8 patents (USPTO):Explore Patents

Title: Gabor J Dozsa: Innovator in Supercomputing Technology

Introduction

Gabor J Dozsa is a prominent inventor based in Yorktown Heights, NY (US). He holds a total of 8 patents that showcase his contributions to the field of supercomputing technology. His innovative work has significantly advanced the capabilities of parallel computing systems.

Latest Patents

One of his latest patents is the Multi-Petascale Highly Efficient Parallel Supercomputer. This supercomputer operates at a 100 petaflop-scale and features node architectures based on System-On-a-Chip technology. Each processing node consists of a single Application Specific Integrated Circuit (ASIC). The design includes a five-dimensional torus network that optimally maximizes packet communication throughput between nodes while minimizing latency. The network also implements collective and global asynchronous functions, enhancing overall performance. Another notable aspect of this supercomputer is its ability to achieve high packaging density of processing nodes, which is made possible by advancements in VLSI technology.

Career Highlights

Gabor J Dozsa has worked with several notable companies throughout his career, including IBM and Globalfoundries Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in supercomputing.

Collaborations

He has collaborated with talented individuals such as Sameer Kumar and Joseph D Ratterman, contributing to the advancement of technology in his field.

Conclusion

Gabor J Dozsa's work in supercomputing technology exemplifies his innovative spirit and dedication to advancing computational capabilities. His contributions continue to influence the future of parallel computing systems.

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