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For the Inventor, By the Inventor

Boston, MA, United States of America

Girish Venkataramani

This inventor holds 22 USPTO granted patents and 1 published patent application and 1 EPO patent, primarily in Deep Learning Hardware. Top assignee: The Mathworks, Inc.. Active years: 2013-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Girish Venkataramani. Retrieved from https://idiyas.com/inventor/girish-venkataramani

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

USPTO Granted Patents = 22 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.3

ph-index = 9

Forward Citations = 227(Granted Patents)


Location History:

  • Boston, MA (US) (2013 - 2019)
  • Cambridge, MA (US) (2014 - 2021)

Company Filing History:

goldMedal22 out of 1,128 
 
The Mathworks, Inc.
 patents

Years Active: 2013-2021

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Areas of Expertise:
Deep Learning Networks
Hardware Resource Sharing
Code Generation
Parallel Processing
Executable Graphical Models
Performance Estimation
Clock Rate Pipelining
Model-Based Design
Synchronous Scheduling
Data Serialization
Optimization Techniques
Resource Sharing Patterns
22 patents (USPTO):Explore Patents
1. 11023360 - Systems and methods for configuring programmable logic devices for deep learning networks (2021-06-01),
2. 10949182 - Systems and methods for generating code for parallel processing units (2021-03-16),
3. 10423733 - Systems and methods for sharing resources having different data types (2019-09-24),
4. 10387584 - Streaming on hardware-software platforms in model based designs (2019-08-20),
5. 10248390 - Resource sharing workflows within executable graphical models (2019-04-02),
6. 10157045 - Systems and methods for automatically generating code for deep learning systems (2018-12-18),
7. 10114917 - Systems and methods for mapping executable models to programmable logic device resources (2018-10-30),
8. 10078717 - Systems and methods for estimating performance characteristics of hardware implementations of executable models (2018-09-18),
9. 9846571 - Utilizing clock rate pipelining to generate code for multi-rate systems (2017-12-19),
10. 9817931 - Systems and methods for generating optimized hardware descriptions for models (2017-11-14),
11. 9779195 - Model-based retiming with functional equivalence constraints (2017-10-03),
12. 9740529 - High throughput synchronous resource-constrained scheduling for model-based design (2017-08-22),
13. 9710237 - Systems and methods for hardware resource sharing (2017-07-18),
14. 9658835 - Systems and methods for hardware resource sharing (2017-05-23),
15. 9454627 - Systems and methods for optimizing executable models for hardware synthesis (2016-09-27),

Title: **Innovative Contributions of Girish Venkataramani in Deep Learning Technologies**

Introduction

Girish Venkataramani is a prominent inventor based in Boston, MA, recognized for his significant contributions in the realm of deep learning technologies. With an impressive portfolio of 22 patents, he has dedicated his career to enhancing the efficiency and effectiveness of programmable logic devices and parallel processing units.

Latest Patents

His recent innovations include groundbreaking patents such as "Systems and methods for configuring programmable logic devices for deep learning networks." This invention focuses on creating architecture and algorithmic code to optimize the performance of deep learning networks by efficiently configuring processing cores and utilizing memory effectively. Furthermore, his patent on "Systems and methods for generating code for parallel processing units" aims at transforming source programs into executable code on Graphics Processing Units (GPUs), enhancing parallel processing through optimizations and streamlined memory transfers.

Career Highlights

Girish currently works at The MathWorks, Inc., a leading company in mathematical computing software. His work at MathWorks emphasizes advancing technology in deep learning and parallel processing, contributing significantly to the field of computational solutions.

Collaborations

Throughout his career, Girish has collaborated with notable colleagues, including Yongfeng Gu and Kiran K Kintali. These collaborations have fostered a dynamic exchange of ideas and innovations, further propelling advancements in their shared domain.

Conclusion

Girish Venkataramani's dedication to innovation and excellence in the development of deep learning technologies positions him as a key figure in the tech industry. His numerous patents not only reflect his inventive spirit but also pave the way for future advancements in computational efficiency and effectiveness.

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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