Company Filing History:
Years Active: 2019-2023
Title: Siva Sundar A: Innovator in Data Processing Technologies
Introduction
Siva Sundar A is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data processing, holding 2 patents that showcase his innovative approach to technology. His work primarily focuses on enhancing the efficiency and accuracy of data processing systems.
Latest Patents
Siva's latest patents include groundbreaking technologies that address critical challenges in data processing. One of his patents, titled "Processing data in memory using an FPGA," describes a method for processing data in memory using a field programmable gate array. This involves reading a first portion of a data set to a burst block with a specific data format, transforming a sub-portion of that data, and processing it to yield a first results set. The results are then transformed back to the original data format and written to the burst block.
Another notable patent is "Validation of correctness of interrupt triggers and delivery." This invention outlines a method where a computer allocates flags and interrupt source numbers to validate the correctness of interrupt triggers. The system updates flags based on received triggers and determines if all flags are updated, thereby identifying any lost interrupt source numbers.
Career Highlights
Siva Sundar A is currently employed at IBM, where he continues to innovate and develop new technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to data processing.
Collaborations
Some of Siva's notable coworkers include Manoj Dusanapudi and Shakti Kapoor. Their collaboration has fostered an environment of innovation and creativity, leading to advancements in their respective projects.
Conclusion
Siva Sundar A is a remarkable inventor whose work in data processing technologies has made a significant impact in the field. His patents reflect his dedication to improving data handling and processing efficiency.