Karthikeyan Vaidyanathan

This inventor holds 14 USPTO granted patents and 6 published patent applications and 2 EPO patents. Top assignee: Intel Corporation. Active years: 2014-2026.

USPTO Granted Patents = 14 (Patent Applications = 6)

% Patents Active = 100.0

EPO Patents = 2 (Patent Applications = 4)

Average Co-Inventor Count = 3.8

ph-index = 3

Forward Citations = 41(Granted Patents)

Location History:

Banglore, IN (2016)
Bengaluru, IN (2014 - 2023)

Company Filing History:

14 out of 56,240

Intel Corporation

patents

Years Active: 2014-2026

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14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12541809 - Abstraction library to enable scalable distributed machine learning (2026-02-03),

2. 12450484 - Communication optimizations for distributed machine learning (2025-10-21),

3. 12387287 - Abstraction layers for scalable distributed machine learning (2025-08-12),

4. 12354001 - Hardware implemented point to point communication primitives for machine learning (2025-07-08),

5. 12211117 - Data parallelism and halo exchange for distributed machine learning (2025-01-28),

6. 11798120 - Abstraction layers for scalable distributed machine learning (2023-10-24),

7. 11704565 - Communication optimizations for distributed machine learning (2023-07-18),

8. 11488008 - Hardware implemented point to point communication primitives for machine learning (2022-11-01),

9. 11373266 - Data parallelism and halo exchange for distributed machine learning (2022-06-28),

10. 11270201 - Communication optimizations for distributed machine learning (2022-03-08),

11. 11094029 - Abstraction layers for scalable distributed machine learning (2021-08-17),

12. 11023803 - Abstraction library to enable scalable distributed machine learning (2021-06-01),

13. 9396329 - Methods and apparatus for a safe and secure software update solution against attacks from malicious or unauthorized programs to update protected secondary storage (2016-07-19),

14. 8769228 - Storage drive based antimalware methods and apparatuses (2014-07-01),

Title: Karthikeyan Vaidyanathan: Innovator in Machine Learning Technologies

Introduction

Karthikeyan Vaidyanathan is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, holding a total of 13 patents. His work focuses on optimizing communication in distributed machine learning systems, which is crucial for enhancing the efficiency and performance of these technologies.

Latest Patents

Among his latest patents, Karthikeyan has developed innovative solutions such as "Communication optimizations for distributed machine learning." This patent describes an apparatus that includes an interconnect switch designed to connect multiple graphics processors through point-to-point interconnects. Another notable patent is "Abstraction layers for scalable distributed machine learning," which outlines a method for transmitting data between compute nodes in a distributed system. This method involves creating a global view of communication operations, assessing communication costs, and determining the necessary network endpoints for data transmission.

Career Highlights

Karthikeyan currently works at Intel Corporation, where he continues to push the boundaries of technology in machine learning. His expertise and innovative mindset have positioned him as a key player in the development of advanced computing solutions.

Collaborations

Karthikeyan collaborates with talented professionals in his field, including Srinivas Sridharan and Dipankar Das. Their combined efforts contribute to the advancement of machine learning technologies and the optimization of distributed systems.

Conclusion

Karthikeyan Vaidyanathan is a distinguished inventor whose work in machine learning has led to significant advancements in the field. His patents reflect a deep understanding of communication optimization in distributed systems, showcasing his commitment to innovation and excellence.