Haoran Li

Title: Haoran Li: Innovator in GPU Technology

Introduction

Haoran Li is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of graphics processing units (GPUs) and holds a total of 3 patents. His work focuses on enhancing GPU performance and efficiency through innovative methods and designs.

Latest Patents

Haoran Li's latest patents include a GPU and a GPU method. The GPU he developed features stream multiprocessors, an available hardware resource table, a resource comparator, a stream scheduler, and a global dispatcher. Each stream multiprocessor is capable of executing at least one thread block. The available hardware resource table records the hardware resources accessible to the stream multiprocessors. The resource comparator selects at least one first dispatchable kernel code from the first-priority kernel codes in the kernel streams, ensuring that the required hardware resources are less than those available. The stream scheduler then selects a kernel code from the dispatchable options, while the global dispatcher manages the execution of thread blocks in the selected kernel code. Additionally, he has developed a warp execution method for shared scratchpad memory in GPUs, which optimizes the loading and computing processes based on specific indicators.

Career Highlights

Throughout his career, Haoran Li has worked with notable companies such as Alibaba (China) Co., Ltd. and T-Head Semiconductor Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technology in the semiconductor industry.

Collaborations

Haoran Li has collaborated with talented individuals in his field, including Fei Sun and Yuan Gao. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Haoran Li is a distinguished inventor whose work in GPU technology has paved the way for advancements in the field. His innovative patents and collaborations highlight his commitment to enhancing computing performance.