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Cambridge, MA, United States of America

Thinking Machines Corporation

USPTO Granted Patents = 84

CIPO Patents = 2

Forward Citations = 3,985

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90 inventors (with patents filed for the assignee):

W Daniel Hillis (44 out of 109 patents)

Brewster A Kahle (10 out of 10 patents)

David C Douglas (8 out of 34 patents)

4. Shaw-Wen Yang (7 out of 9 patents)

5. Bradley C Kuszmaul (7 out of 14 patents)

6. Mahesh N Ganmukhi (6 out of 40 patents)

7. Charles E Leiserson (6 out of 18 patents)

8. James L Frankel (6 out of 9 patents)

9. Guy Lewis Steele, Jr (6 out of 88 patents)

10. Jeffrey V Hill (5 out of 10 patents)

11. Jon P Wade (5 out of 10 patents)

12. Karl P Sims (5 out of 5 patents)

13. David S Wells (5 out of 9 patents)

14. Robert C Zak, Jr (4 out of 10 patents)

15. Alexander D Vasilevsky (4 out of 4 patents)

Core Competencies:

Massively Parallel Processor

Data Transfer Optimization

Communications Arrangement

Parallel Computing System

Processor Architecture

Message Routing

Error Detection

Partitioning System

Compiler Techniques

Storage Array

Object Mutation

Graph Evolution

84 patents: Sort by Forward Citations

1. 6219775 - Massively parallel computer including auxiliary vector processor (2001-04-17),

2. 6088510 - Computer system and method for generating and mutating objects by (2000-07-11),

3. 5872987 - Massively parallel computer including auxiliary vector processor (1999-02-16),

4. 5590283 - Parallel computer system with physically separate tree networks for data (1996-12-31),

5. 5583464 - Resistor circuit for integrated circuit chip using insulated field (1996-12-10),

6. 5561801 - System and method for multilevel promotion (1996-10-01),

7. 5561768 - System and method for partitioning a massively parallel computer system (1996-10-01),

8. 5551039 - Compiling a source code vector instruction by generating a subgrid loop (1996-08-27),

9. 5535408 - Processor chip for parallel processing system (1996-07-09),

10. 5530809 - Router for parallel computer including arrangement for redirecting (1996-06-25),

11. 5515535 - System and method for parallel variable optimization (1996-05-07),

12. 5511158 - System and method for creating and evolving directed graphs (1996-04-23),

13. 5485627 - Partitionable massively parallel processing system (1996-01-16),

14. D361061 - Cabinet for electronic data processing equipment (1995-08-08),

15. 5404562 - Massively parallel processor including queue-based message delivery (1995-04-04),

Company Overview

Thinking Machines Corporation, based in Cambridge, MA, specializes in massively parallel computing technologies. The company focuses on the development of advanced processor architectures and systems that optimize data transfer and enhance communication arrangements. Their innovations in parallel computing systems include sophisticated message routing and error detection mechanisms, as well as partitioning systems that improve computational efficiency. This expertise positions Thinking Machines at the forefront of high-performance computing solutions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

84 Patents

#32 in Cambridge, MA

#239 in Massachusetts

#4,431 in US

#9,067 in the World

Cambridge, MA, United States of America

Thinking Machines Corporation

Forward Citations = 3,985

90 inventors:

W Daniel Hillis (44 out of 109 patents)

Brewster A Kahle (10 out of 10 patents)

David C Douglas (8 out of 34 patents)

4. Shaw-Wen Yang (7 out of 9 patents)

5. Bradley C Kuszmaul (7 out of 14 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Thinking Machines Corporation. Retrieved from https://idiyas.com/company/thinking-machines

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

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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