Morrisville, NC, United States of America

Vignyan Reddy Kothinti Naresh

USPTO Granted Patents = 23 (Patent Applications = 6)

EPO Patents = 9 (Patent Applications = 17)

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 22(Granted Patents)

Location History:

San Diego, CA (US) (2019)
Morrisville, NC (US) (2017 - 2023)
Redmond, WA (US) (2021 - 2023)

Company Filing History:

14 out of 54,638

Microsoft Technology Licensing, LLC

patents

9 out of 41,326

Qualcomm Incorporated

patents

Years Active: 2017-2023

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23 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11755330 - Tracking exact convergence to guide the recovery process in response to a mispredicted branch (2023-09-12),

2. 11698789 - Restoring speculative history used for making speculative predictions for instructions processed in a processor employing control independence techniques (2023-07-11),

3. 11620133 - Reduction of data cache access in a processing system (2023-04-04),

4. 11494191 - Tracking exact convergence to guide the recovery process in response to a mispredicted branch (2022-11-08),

5. 11392410 - Operand pool instruction reservation clustering in a scheduler circuit in a processor (2022-07-19),

6. 11392387 - Predicting load-based control independent (CI) register data independent (DI) (CIRDI) instructions as CI memory data dependent (DD) (CIMDD) instructions for replay in speculative misprediction recovery in a processor (2022-07-19),

7. 11327763 - Opportunistic consumer instruction steering based on producer instruction value prediction in a multi-cluster processor (2022-05-10),

8. 11269642 - Dynamic hammock branch training for branch hammock detection in an instruction stream executing in a processor (2022-03-08),

9. 11068272 - Tracking and communication of direct/indirect source dependencies of producer instructions executed in a processor to source dependent consumer instructions to facilitate processor optimizations (2021-07-20),

10. 11061824 - Deferring cache state updates in a non-speculative cache memory in a processor-based system in response to a speculative data request until the speculative data request becomes non-speculative (2021-07-13),

11. 11061683 - Limiting replay of load-based control independent (CI) instructions in speculative misprediction recovery in a processor (2021-07-13),

12. 11061677 - Recovering register mapping state of a flushed instruction employing a snapshot of another register mapping state and traversing reorder buffer (ROB) entries in a processor (2021-07-13),

13. 11036512 - Systems and methods for processing instructions having wide immediate operands (2021-06-15),

14. 10929139 - Providing predictive instruction dispatch throttling to prevent resource overflows in out-of-order processor (OOP)-based devices (2021-02-23),

15. 10896041 - Enabling early execution of move-immediate instructions having variable immediate value sizes in processor-based devices (2021-01-19),

Title: Innovations of Vignyan Reddy Kothinti Naresh: A Trailblazer in Processor Technologies

Introduction: Vignyan Reddy Kothinti Naresh is an accomplished inventor based in Morrisville, North Carolina. With a remarkable portfolio of 23 patents, he has significantly contributed to advancements in processor technology. His work revolves around enhancing the efficiency and accuracy of processor operations, particularly in handling mispredicted branches and speculative predictions.

Latest Patents: Kothinti Naresh’s latest patents showcase his innovative approach to addressing critical challenges in processor designs. One notable patent involves “Tracking exact convergence to guide the recovery process in response to a mispredicted branch.” This invention presents a processor architecture featuring a pipeline with a frontend and backend, along with a state table to manage branch-related information. The state logic efficiently tracks convergence points associated with branches to determine appropriate recovery methods when mispredictions occur.

Another impactful patent focuses on “Restoring speculative history used for making speculative predictions for instructions processed in a processor.” This innovative method allows processors to predict instruction outcomes before evaluation, thereby optimizing processing speed. It also includes robust mechanisms for managing history restoration during misprediction recovery, ensuring that subsequent instructions utilize the most accurate speculative data.

Career Highlights: Over his career, Vignyan has collaborated with several leading technology companies, notably Microsoft Technology Licensing and Qualcomm Incorporated. These experiences have honed his expertise in processor architecture and innovative design methods, leading to a significant number of patents that reflect his dedication to excellence in technology.

Collaborations: Kothinti Naresh has worked alongside talented colleagues, including Shivam Priyadarshi and Rami Mohammad Al Sheikh. Their collaborative efforts in various projects have contributed to advancing the field of processor technology, making their team a notable presence in innovation circles.

Conclusion: Vignyan Reddy Kothinti Naresh stands out as a pivotal innovator in the realm of processors and technology. His extensive patent portfolio and collaborative work with renowned tech companies and colleagues have paved the way for significant advancements in how processors respond to challenges such as mispredicted branches and speculative predictions. Through his innovations, Naresh continues to shape the future of technology in profound ways.

This text is generated by artificial intelligence and may not be accurate.