This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Intel Corporation. Active years: 2023-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2025
Title: Ujwal Basavaraj Sajjanar: Innovator in Matrix Processing Technology
Introduction
Ujwal Basavaraj Sajjanar is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of matrix processing technology, holding 2 patents that showcase his innovative approach to handling matrix operands.
Latest Patents
One of Ujwal's latest patents is focused on multi-variate strided read operations for accessing matrix operands. In this embodiment, a matrix processor is designed with a memory that stores a matrix operand and a strided read sequence. The matrix operand is stored out of order in the memory, and the strided read sequence consists of a series of read operations that allow for the correct retrieval of the matrix operand from memory. The matrix processor is equipped with circuitry that receives a first instruction to execute, which instructs the processor to perform an operation on the matrix operand. It reads the matrix operand based on the strided read sequence and executes the instruction accordingly.
Career Highlights
Ujwal Basavaraj Sajjanar is currently employed at Intel Corporation, where he continues to develop innovative technologies in the field of matrix processing. His work has contributed to advancements in how matrix operations are performed, enhancing efficiency and performance in computational tasks.
Collaborations
Ujwal has collaborated with notable coworkers such as Tony Lee Werner and Anne Q Ye, contributing to a dynamic and innovative work environment at Intel Corporation.
Conclusion
Ujwal Basavaraj Sajjanar is a distinguished inventor whose work in matrix processing technology has led to significant advancements in the field. His patents reflect a deep understanding of complex computational processes, and his contributions continue to influence the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
