This inventor holds 1 USPTO granted patent. Top assignee: Advanced Micro Devices Corporation. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Jehandad Khan: Innovator in Processing Performance
Introduction
Jehandad Khan is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of processing performance through his innovative ideas and patents. His work focuses on improving the efficiency of program execution on hardware devices.
Latest Patents
Jehandad Khan holds a patent for a "Method and apparatus for predicting kernel tuning parameters." This invention involves a processing device that enhances processing performance. The device includes memory for data storage and a processor that communicates with the memory. The processor is designed to receive tuning parameters, each with a numeric value, for executing a portion of a program on a specific hardware device. It converts these numeric values into words and predicts the optimal combination of these words using machine learning algorithms. This prediction is based on performance efficiency, and the processor then converts the predicted combination back into numeric values for execution.
Career Highlights
Jehandad Khan is currently employed at Advanced Micro Devices Corporation, a leading company in the semiconductor industry. His role involves leveraging his expertise in processing performance to contribute to the development of advanced technologies. He has a proven track record of innovation, with a focus on enhancing the capabilities of hardware devices.
Collaborations
Jehandad collaborates with talented individuals in his field, including his coworker Daniel I Lowell. Their combined efforts contribute to the advancement of technology and the development of innovative solutions in processing performance.
Conclusion
Jehandad Khan is a distinguished inventor whose work in processing performance has led to valuable advancements in technology. His patent demonstrates his commitment to innovation and efficiency in program execution. His contributions continue to shape the future of processing technologies.
