San Jose, CA, United States of America

Erik Karl Norden

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Erik Karl Norden. Retrieved from https://idiyas.com/inventor/erik-karl-norden

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Erik Karl Norden

Introduction

Erik Karl Norden is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of machine learning through his innovative patents. His work focuses on enhancing the performance and efficiency of machine learning systems.

Latest Patents

One of Erik's notable patents is titled "Heterogeneous ML accelerator cluster with flexible system resource balance." This patent addresses the challenges of existing remote and disaggregated memory systems. It introduces a heterogeneous machine learning accelerator system that connects compute and memory nodes via high-speed chip-to-chip interconnects. This innovation allows for the integration of memory nodes into machine learning accelerator clusters without relying on remote processing units. The system aims to achieve higher performance, a simpler software stack, and reduced costs. Additionally, the memory nodes support prefetch and intelligent compression, enabling the use of low-cost memory without performance degradation. Erik holds 1 patent in this area.

Career Highlights

Erik has built a successful career at Google Inc., where he has been instrumental in developing advanced machine learning technologies. His expertise in heterogeneous systems has positioned him as a key player in the field.

Collaborations

Throughout his career, Erik has collaborated with talented individuals such as Sheng Li and Sridhar Lakshmanamurthy. These collaborations have further enriched his work and contributed to the advancement of machine learning technologies.

Conclusion

Erik Karl Norden's innovative contributions to machine learning, particularly through his patent on heterogeneous accelerator clusters, demonstrate his commitment to advancing technology. His work continues to influence the field and pave the way for future innovations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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