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For the Inventor, By the Inventor

Austin, TX, United States of America

Manuel Joseph Alvarez, Ii

This inventor holds 23 USPTO granted patents, primarily in Data Compression Technology. Top assignees: International Business Machines Corporation, Quickshift, Inc., Interactive Silicon, Inc.. Active years: 1990-2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Manuel Joseph Alvarez, Ii. Retrieved from https://idiyas.com/inventor/manuel-joseph-alvarez-ii

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

USPTO Granted Patents = 23

% Patents Active = 91.3

Average Co-Inventor Count = 3.2

ph-index = 17

Forward Citations = 1,701(Granted Patents)


Location History:

  • Binghamton, NY (US) (1990 - 1995)
  • Austin, TX (US) (1997 - 2012)

Company Filing History:

goldMedal8 out of 166,351 
 
International Business Machines Corporation
 patents
silverMedal8 out of 8 
 
Quickshift, Inc.
 patents
bronzeMedal4 out of 12 
 
Interactive Silicon, Inc.
 patents
4. 2 out of 4 
 
Mossman Holdings LLC
 patents
5. 1 out of 834,513 
Other
 patents

Years Active: 1990-2012

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Areas of Expertise:
Compression Techniques
Data Decompression
Memory Management
Parallel Processing
Codec Engine
Storage Density
Access Speed
Distributed Systems
Transaction Tag Assignment
Device Configuration
Error Recovery
Data Transfer
23 patents (USPTO):Explore Patents
1. RE43483 - System and method for managing compression and decompression of system memory in a computer system (2012-06-18),
2. 7538694 - Network device with improved storage density and access speed using compression techniques (2009-05-26),
3. 7529799 - Method and apparatus for transaction tag assignment and maintenance in a distributed symmetric multiprocessor system (2009-05-05),
4. 7190284 - Selective lossless, lossy, or no compression of data based on address range, data type, and/or requesting agent (2007-03-13),
5. 7129860 - System and method for performing scalable embedded parallel data decompression (2006-10-31),
6. 7089391 - Managing a codec engine for memory compression/decompression operations using a data movement engine (2006-08-08),
7. 7047382 - System and method for managing compression and decompression and decompression of system memory in a computer system (2006-05-16),
8. 7032158 - System and method for recognizing and configuring devices embedded on memory modules (2006-04-18),
9. 6885319 - System and method for generating optimally compressed data from a plurality of data compression/decompression engines implementing different data compression algorithms (2005-04-26),
10. 6879266 - Memory module including scalable embedded parallel data compression and decompression engines (2005-04-12),
11. 6822589 - System and method for performing scalable embedded parallel data decompression (2004-11-23),
12. 6819271 - Parallel compression and decompression system and method having multiple parallel compression and decompression engines (2004-11-16),
13. 6725307 - Method and system for controlling data transfers with physical separation of data functionality from address and control functionality in a distributed multi-bus multiprocessor system (2004-04-20),
14. 6567091 - Video controller system with object display lists (2003-05-20),
15. 6523102 - PARALLEL COMPRESSION/DECOMPRESSION SYSTEM AND METHOD FOR IMPLEMENTATION OF IN-MEMORY COMPRESSED CACHE IMPROVING STORAGE DENSITY AND ACCESS SPEED FOR INDUSTRY STANDARD MEMORY SUBSYSTEMS AND IN-LINE MEMORY MODULES (2003-02-18),

Title: Manuel Joseph Alvarez, II: Innovator in Memory Management and Compression Technologies

Introduction

Manuel Joseph Alvarez, II, based in Austin, Texas, is a prolific inventor with an impressive portfolio of 23 patents. His work primarily focuses on systems and methods that enhance memory management in computer systems, particularly through innovative compression techniques. Alvarez's contributions have significantly advanced the efficiency and capability of computing technologies.

Latest Patents

Among his latest inventions, Manuel has developed a "System and method for managing compression and decompression of system memory in a computer system." This invention allows processors or I/O masters to address more system memory than physically exists. It introduces a Compressed Memory Management Unit (CMMU) that maintains least recently used pages in a compressed format while keeping more frequently accessed pages uncompressed for faster access. The CMMU is capable of translating system addresses into physical addresses and can manage data compression and decompression as needed. Additionally, he has created a "Network device with improved storage density and access speed using compression techniques." This network device, known as the Compression Enhanced Network Processor (CENP), integrates parallel compression and decompression capabilities to enhance data density and operational efficiency in multi-port network devices.

Career Highlights

Manuel Joseph Alvarez, II has made substantial contributions during his career at notable companies like Quickshift, Inc. and International Business Machines Corporation (IBM). His work in these organizations has involved pushing the boundaries of current technologies in memory management and network processing.

Collaborations

Throughout his career, Manuel has collaborated with distinguished colleagues, including Peter Dau Geiger and Thomas Dye. These collaborations have fostered innovation and creativity, leading to significant advancements in their respective fields.

Conclusion

Manuel Joseph Alvarez, II stands out as an innovative force in the realm of computer memory management and network technology. His patents, particularly in compression and decompression methods, underscore the importance of efficiency in modern computing. As the tech landscape continues to evolve, Alvarez's contributions are sure to have a lasting impact.

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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