Poching Sun

Title: Innovator Poching Sun: Pioneering Advances in Neural Network Technology

Introduction:

Poching Sun is a distinguished inventor located in San Jose, California, known for his contributions to the field of neural networks and data processing technologies. With three patents to his name, he has made significant advancements that facilitate more efficient data handling in various applications.

Latest Patents:

Poching Sun's latest patents showcase his innovative approaches to processing input and output tiles in neural networks. The first patent outlines a "Tiling Control Circuit for Downloading and Processing an Input Tile Based on Source and Destination Buffer Availability." This invention introduces a download dispatch circuit that manages the download of an input tile in response to the availability of source buffers, which enhances the efficiency of data input in neural network operations.

The second patent, titled "Data Formatter for Convolution," presents a sophisticated circuit arrangement that incorporates a memory circuit, data upload circuitry, and a systolic array. This invention allows for the input of multi-dimensional data sets and organizes them into data streams that can be processed in parallel, leading to improved performance in computing output feature maps.

Career Highlights:

Poching Sun is currently affiliated with Xilinx, Inc., a leading company in providing advanced programmable logic solutions. His work at Xilinx involves developing cutting-edge technologies that serve to enhance the capabilities of neural networks and their applications across various industries.

Collaborations:

Throughout his career, Poching has worked alongside notable colleagues such as Victor J. Wu and Ravi S. Sunkavalli. Their collaborative efforts have contributed to the advancements in the field of data processing and neural network technologies, driving innovation further in their shared projects.

Conclusion:

Poching Sun is a prominent figure in the realm of technological innovation. His contributions, reflected in his patents and collaborative projects, underscore the dynamic advancements occurring in processing technologies, particularly within neural networks. As he continues to lead in this field, there is no doubt that his future work will further influence the landscape of computing and data processing.