Company Filing History:
Years Active: 2021-2023
Title: Innovations of Jian Jiang in Graphics Processing
Introduction
Jian Jiang is a notable inventor based in San Diego, California. He has made significant contributions to the field of graphics processing, holding three patents that showcase his innovative approaches. His work primarily focuses on methods and devices that enhance data storage and processing efficiency in graphics processing units (GPUs).
Latest Patents
One of Jian Jiang's latest patents is titled "Methods and apparatus for constant data storage." This patent relates to methods and devices for graphics processing, including an apparatus such as a GPU. The apparatus generates a table with multiple entries to store data associated with constant or immediate values. It processes first data, including these values, and stores them in the generated table. Additionally, the apparatus transmits the table containing the stored values.
Another significant patent is "Deferred GPR allocation for texture/load instruction block." This invention describes how a GPU utilizes block general-purpose registers (bGPRs) to load multiple waves of samples for an instruction group into a processing pipeline. The GPU acquires a credit for the bGPR for executing the instruction group for a first wave and refunds the credit upon loading the first wave into the pipeline. This innovative approach allows for efficient processing of subsequent waves in the pipeline.
Career Highlights
Jian Jiang is currently employed at Qualcomm Incorporated, a leading company in the telecommunications and semiconductor industry. His work at Qualcomm has allowed him to develop and refine his innovative ideas in graphics processing technology.
Collaborations
Jian has collaborated with notable coworkers, including Yun Du and Gang Zhong. Their combined expertise contributes to the advancement of technology in their field.
Conclusion
Jian Jiang's contributions to graphics processing through his patents demonstrate his innovative spirit and technical expertise. His work continues to influence the development of efficient data storage and processing methods in modern GPUs.