This inventor holds 1 USPTO granted patent. Top assignee: Sun Microsystems, Inc.. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: Y Srinivas Ramakrisha: Innovator in Heap Compaction Technology
Introduction
Y Srinivas Ramakrisha is a notable inventor based in Union City, CA (US). He has made significant contributions to the field of computer science, particularly in memory management techniques. His innovative approach to heap compaction has garnered attention in the tech community.
Latest Patents
Ramakrisha holds a patent for a method titled "Split-reference, two-pass mark-compaction." This invention allows a heap to be marked and compacted while performing only two passes over the objects and object references in the heap. Specifically, objects and object references are traversed once during a marking phase and again during a compaction phase. During marking, each object reference may be updated to include the relative offset within its block of the referenced object. During compaction, that offset may be added to the block's destination address, resulting in a reference that points to the actual post-compaction location for the referenced object. This method allows for the rearrangement of objects within a block while preserving the order between groups of objects in different blocks across compaction.
Career Highlights
Ramakrisha is associated with Sun Microsystems, Inc., where he has applied his expertise in computer science to develop innovative solutions. His work has had a lasting impact on memory management and optimization techniques in computing.
Collaborations
Some of his notable coworkers include Peter B Kessler and Jon A Masamitsu, who have collaborated with him on various projects within the field.
Conclusion
Y Srinivas Ramakrisha's contributions to heap compaction technology exemplify the innovative spirit of modern inventors. His patent reflects a deep understanding of memory management, which continues to influence the field today.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile