San Jose, CA, United States of America

Stephen Andrew Neuendorffer

This inventor holds 22 USPTO granted patents and 1 EPO patent, primarily in High Level Synthesis. Top assignee: Xilinx, Inc.. Active years: 2009-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stephen Andrew Neuendorffer. Retrieved from https://idiyas.com/inventor/stephen-andrew-neuendorffer

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


% Patents Active = 86.4


Average Co-Inventor Count = 1.8

ph-index = 6

Forward Citations = 139(Granted Patents)


Company Filing History:


Years Active: 2009-2023

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Areas of Expertise:
Logic Placement
Vector Codes
Tensor Convolutions
Circuit Performance
Memory Controller
Dataflow FIFO
Programmable Logic
Integrated Circuit
Reconfiguration
High-Bandwidth Interface
Profiling Circuit
Synchronous Digital Circuits
22 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Stephen Andrew Neuendorffer

Introduction: Stephen Andrew Neuendorffer, based in San Jose, CA, is an accomplished inventor known for his substantial contributions to the field of circuit design and tensor processing. With 22 patents to his name, he is recognized for his innovative approaches that significantly enhance the efficiency and performance of integrated circuits.

Latest Patents: Neuendorffer's recent patents reflect his expertise in optimizing circuit design and improving tensor processing functionalities. One of his latest inventions, titled "Placement of logic based on relative activation rates," presents a method that determines the respective relative activation rates of control paths in a high-level language (HLL) program. This design tool compiles the HLL program into logic functions, calculating the relative activation rates of signal connections between these functions. By selecting placement locations on an integrated circuit using a cost minimization function, his approach efficiently factors in these activation rates, resulting in improved performance of the circuit design.

Another notable patent, "Generation of vector codes for tensor convolutions," outlines methods for generating vector codes that facilitate tensor processing. Neuendorffer's approach involves organizing multiply-and-accumulate (MAC) operations and generating instructions for loading tensor elements into registers. This optimization ensures that the MAC circuits receive the necessary elements efficiently, thereby enhancing the overall processing capabilities of tensor operations.

Career Highlights: Neuendorffer has made significant strides in the technology sector through his work at Xilinx, Inc. His contributions have been instrumental in advancing the field of high-level synthesis and optimization for integrated circuits. His patents not only showcase his technical prowess but also underline his commitment to pushing the boundaries of innovation within the industry.

Collaborations: Throughout his career, Neuendorffer has collaborated with a number of talented professionals, including his coworkers Kecheng Hao and Brandon Blodget. These collaborations have allowed for the exchange of ideas and fostered an environment conducive to groundbreaking innovations in circuit design and processing techniques.

Conclusion: Stephen Andrew Neuendorffer's dedication to innovation in circuit design and tensor processing has resulted in a formidable portfolio of patents that continue to influence the field. His inventive spirit and collaborative efforts with peers ensure that the legacy of his work will endure, paving the way for future advancements in technology.

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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