Location History:
- Sant Cugat del Valles, ES (2009)
- Sant Cugat, ES (2011)
- Barcelona, ES (2012 - 2018)
Company Filing History:
Years Active: 2009-2018
Title: Innovations of Daniel Ortega
Introduction
Daniel Ortega is a prominent inventor based in Barcelona, Spain. He has made significant contributions to the field of computer science, particularly in optimization and branch prediction technologies. With a total of 10 patents to his name, Ortega's work has had a substantial impact on the efficiency of processing systems.
Latest Patents
Ortega's latest patents include innovative methods for optimization-level aware branch prediction. This technology involves a computer-readable storage medium, method, and system that assigns a gear level to a set of application instructions that have been optimized. The gear level is stored in a register of a branch prediction unit within a processor, allowing for more accurate branch prediction based on the gear level. Another notable patent focuses on propagating a prefetching profile bit from a prefetch queue to a data cache. This invention collects profile data for asynchronous events at the code region granularity, marking instructions and data blocks that are prefetched, and incrementing counters for identified events.
Career Highlights
Throughout his career, Daniel Ortega has worked with leading technology companies, including Hewlett-Packard Development Company, L.P. and Intel Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in the tech industry.
Collaborations
Ortega has collaborated with notable professionals in his field, including Paolo Faraboschi and Kyriakos A Stavrou. These collaborations have further enriched his work and expanded the scope of his inventions.
Conclusion
Daniel Ortega's contributions to the field of computer science through his patents and collaborations highlight his role as a key innovator in optimization and branch prediction technologies. His work continues to influence advancements in processing systems and efficiency.