This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Chanchala Roy Lairikyengbam and Memory Management Innovation.
Introduction
Chanchala Roy Lairikyengbam is an inventor based in Redmond, Washington, and works at Intel Corporation. His patent work addresses memory usage in managed runtime applications, with a focus on making more heap memory available for allocating objects.
Latest Patents
The provided information identifies one patent associated with Lairikyengbam: “Memory Usage in Managed Runtime Applications.” The invention describes compressing or offloading live heap objects that exceed a size threshold and have not been accessed recently. Decisions can also account for an object’s age, estimated by the number of garbage collections it has survived.
For objects that reference other objects, the approach can separate value fields from reference fields. The value fields may be compressed or offloaded, while the reference fields remain uncompressed in heap memory. The heap can then be compacted to free additional space. Compression accelerators and system characteristics, including throughput, latency, and availability, can inform whether objects are compressed or offloaded. The reported portfolio includes 1 patent.
Career Highlights
Lairikyengbam’s listed work at Intel Corporation concerns memory management in managed runtime environments. The patent describes techniques for reducing heap-memory pressure while preserving access to object references and supporting further object allocation.
Collaborations
Han B. Lee is identified as a coworker. The provided information does not specify the nature of any collaboration between Lee and Lairikyengbam on the patent.
Conclusion
Chanchala Roy Lairikyengbam’s identified patent presents methods for managing heap memory through object compression, offloading, and compaction, with the goal of making more memory available for applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
