Company Filing History:
Years Active: 2021-2023
Title: Innovations by Priyanka Ladda
Introduction
Priyanka Ladda is an accomplished inventor based in Shevgaon, India. She has made significant contributions to the field of technology, particularly in the area of data processing and memory management. With two patents to her name, she is recognized for her innovative solutions that enhance the efficiency of decompression engines.
Latest Patents
One of Priyanka's latest patents is titled "Programmable Re-order Buffer for Decompression." This invention relates to a decompression engine that can request compressed data to be transferred over a memory bus. In certain scenarios, the memory bus requires multiple data transfers to convey the requested data. To ensure that the requested data is presented in order to the decompression engine, a re-order buffer is utilized to store data entries. When a head-of-line entry is received, it is provided to the decompression engine. Upon receiving the last entry in a group of entries, all entries in that group are presented in order to the decompression engine. Additionally, the decompression engine can borrow memory resources allocated for use by another memory client to expand the size of the re-order buffer available for use. This innovative approach allows for more efficient memory management and data processing.
Career Highlights
Priyanka Ladda is currently employed at Intel Corporation, where she continues to develop cutting-edge technologies. Her work focuses on improving data handling and processing capabilities, which are crucial in today's data-driven world.
Collaborations
Some of her notable coworkers include Abhishek R Appu and Eric G Liskay, with whom she collaborates on various projects aimed at advancing technology in the field of data processing.
Conclusion
Priyanka Ladda's contributions to technology through her patents and work at Intel Corporation highlight her role as an innovative inventor. Her advancements in decompression technology demonstrate her commitment to enhancing data processing efficiency.
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