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Andrew Thomas Forsyth

This inventor holds 41 USPTO granted patents and 10 published patent applications and 3 EPO patents, primarily in Vector Processing. Top assignees: Intel Corporation, Oculus, Vr, LLC, Meta Platforms, Inc.. Active years: 2013-2026.

USPTO Granted Patents = 41 (Patent Applications = 10)

% Patents Active = 75.6

EPO Patents = 3 (Patent Applications = 6)

Average Co-Inventor Count = 3.8

ph-index = 6

Forward Citations = 197(Granted Patents)

Company Filing History:

Years Active: 2013-2026

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Areas of Expertise:

Gather/Scatter Operations

Vector Instructions

Video Decompression

Cache Memory

Virtual Reality

Non-Uniformity Correction

Dynamic Branch Hints

Scalar Constants

Prefetching

Atomic Execution

Compare-Exchange

Luminance Correction

41 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12681729 - Vector friendly instruction format and execution thereof (2026-07-14),

2. 12360774 - Coalescing adjacent gather/scatter operations (2025-07-15),

3. 12086594 - Vector friendly instruction format and execution thereof (2024-09-10),

4. 11740904 - Vector friendly instruction format and execution thereof (2023-08-29),

5. 11599362 - Coalescing adjacent gather/scatter operations (2023-03-07),

6. 11210096 - Vector friendly instruction format and execution thereof (2021-12-28),

7. 11003455 - Coalescing adjacent gather/scatter operations (2021-05-11),

8. 10795680 - Vector friendly instruction format and execution thereof (2020-10-06),

9. 10678541 - Processors having fully-connected interconnects shared by vector conflict instructions and permute instructions (2020-06-09),

10. 10387151 - Processor and method for tracking progress of gathering/scattering data element pairs in different cache memory banks (2019-08-20),

11. 10356407 - Display-side video decompression using quantization tables (2019-07-16),

12. 10275257 - Coalescing adjacent gather/scatter operations (2019-04-30),

13. 10157061 - Instructions for storing in general purpose registers one of two scalar constants based on the contents of vector write masks (2018-12-18),

14. 10042814 - System and method for using a mask register to track progress of gathering and scattering elements between data registers and memory (2018-08-07),

15. 10018838 - Aging compensation for virtual reality headset display device (2018-07-10),

Title: Innovations of Andrew Thomas Forsyth: A Journey in Vector Friendly Instruction Formats

Introduction

Andrew Thomas Forsyth, residing in Kirkland, WA, is a prolific inventor with an impressive portfolio of 39 patents. His innovative work has significantly contributed to the fields of computing and instruction execution, showcasing the importance of advancements in technology.

Latest Patents

One of Forsyth's latest inventions is titled "Vector Friendly Instruction Format and Execution Thereof". This patent presents a detailed framework for a processor that executes an instruction set, including a unique vector-friendly instruction format. This format is designed with multiple fields, such as a base operation field, a modifier field, an augmentation operation field, and a data element width field. The innovation particularly supports various versions of base operations and different augmentation operations, allowing for efficient instruction placement within instruction streams.

Career Highlights

Andrew has held positions at notable companies, including Intel Corporation and Oculus VR, LLC. His experience at these leading tech firms has enabled him to develop groundbreaking technologies that push the boundaries of modern computing.

Collaborations

Forsyth has collaborated with esteemed colleagues such as Jonathan Cannon Hall and Christopher J. Hughes. These partnerships have fostered a dynamic exchange of ideas, contributing to the innovative work that has characterized Forsyth’s career.

Conclusion

Andrew Thomas Forsyth stands out as a significant contributor to the field of technology through his innovative patents and collaborations. His work on the vector-friendly instruction format not only enhances processor capabilities but also represents a broader trend of innovation within the technology sector. Forsyth's patents reflect a commitment to advancing the capabilities of computing and play a crucial role in shaping the future of instructional execution.

Profile summary based on public USPTO records.

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