Jason Ko

Title: Innovations by Jason Ko in Memory Subsystem Operations

Introduction

Jason Ko is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of memory subsystem operations, particularly in the context of tensor data processing. His innovative approach has led to the development of a unique patent that enhances the efficiency of tensor operations.

Latest Patents

Jason Ko holds a patent titled "Memory subsystem operations with unaligned and scatter gather feature to support convolution and dimension shuffle." This patent describes an apparatus that includes memory circuitry designed to store tensor data representing a tensor. The apparatus also features memory controller circuitry that accesses the memory circuitry. Additionally, processor circuitry is included to receive requests for tensor operations, generate sub-commands for these operations, and provide them to the memory controller to execute the tensor operation based on specific instructions.

Career Highlights

Jason Ko is currently employed at Intel Corporation, where he applies his expertise in memory subsystem technologies. His work focuses on improving the performance and efficiency of tensor operations, which are crucial in various applications, including artificial intelligence and machine learning.

Collaborations

Some of Jason's notable coworkers include Olivia Wu and Prashant Arora. Their collaborative efforts contribute to the innovative environment at Intel Corporation, fostering advancements in technology.

Conclusion

Jason Ko's contributions to memory subsystem operations exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the field, showcasing his dedication to enhancing computational efficiency.