Company Filing History:
Years Active: 1996-2000
Title: Roy Levin: Innovator in Function Caching and Dependency Analysis
Introduction
Roy Levin is a notable inventor based in Palo Alto, CA (US), recognized for his contributions to the fields of function caching and dynamic dependency analysis. With a total of 4 patents to his name, Levin has made significant strides in improving the efficiency of computer programs.
Latest Patents
One of Levin's latest patents is titled "Method and apparatus for caching the results of function applications." This invention involves a sophisticated method of caching entries in a function cache by statically assigning a primary key to each cache entry. The process includes grouping entries with identical primary keys and dynamically assigning secondary keys to further organize the cache. This innovative approach allows for efficient access to cached entries, enhancing the performance of function applications.
Another significant patent by Levin is "Dynamic fine-grained dependency analysis for a functional language." This computerized method analyzes a program while it is being interpreted, focusing on input values and functions stored in memory. The method allows for precise dependency analysis by recording the functions, input values, and result values during interpretation. This dynamic approach ensures that only necessary components are named, streamlining the analysis process.
Career Highlights
Throughout his career, Roy Levin has worked with prominent companies such as Digital Equipment Corporation and Compaq Computer Corporation. His experience in these organizations has contributed to his expertise in computer science and innovation.
Collaborations
Levin has collaborated with notable individuals in the field, including Christine Beth Hanna and Butler W. Lampson. These collaborations have likely enriched his work and contributed to his innovative patents.
Conclusion
Roy Levin's contributions to function caching and dependency analysis demonstrate his significant impact on the field of computer science. His innovative patents reflect a deep understanding of technology and a commitment to enhancing program efficiency.