Company Filing History:
Years Active: 2023
Title: Wenlin Hao - Innovator in Data Processing Technology
Introduction
Wenlin Hao is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of data processing technology, holding 2 patents that showcase his innovative approach to improving efficiency in data handling.
Latest Patents
Wenlin Hao's latest patents include a "Data process apparatus for to-be-cached matrix and method thereof." This invention relates to a data processing apparatus that features an internal memory unit and a shader level-1 cache. The internal memory unit is designed to store a to-be-cached matrix, which includes at least a first element and a second element. The arrangement of these elements enhances the efficiency of accessing the internal memory unit while reducing the bandwidth occupied by invalid data. Additionally, it allows for tighter hardware pipelines and minimizes idle clock cycles, ultimately leading to reduced hardware costs.
Another notable patent is for a "Graphics processing unit having pixel shader, output merger, cache, memory and operation method thereof." This graphics processing unit comprises a pixel shader, an output merger, a cache, and a memory. The pixel shader outputs pixel data, which is then processed by the output merger and stored in the cache. This innovative design ensures that the data size of the sample data is a multiple of the data size of the pixel data, optimizing performance.
Career Highlights
Wenlin Hao is currently employed at Glenfly Tech Co., Ltd., where he continues to develop cutting-edge technologies in data processing. His work has significantly impacted the efficiency and performance of graphics processing units.
Collaborations
Wenlin collaborates with talented coworkers, including Fengxia Wu and Yuanfeng Wang, who contribute to the innovative environment at Glenfly Tech Co., Ltd.
Conclusion
Wenlin Hao's contributions to data processing technology through his patents reflect his commitment to innovation and efficiency. His work continues to influence the field, making significant strides in the performance of data handling systems.
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