Technical VP - Computing Bus System Research

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

Conduct in-depth insight and analysis of industry cutting-edge bus architectures and technologies, develop long-term technology plans and roadmaps, and lead technical decision-making.

Build competitive bus architectures and interconnection protocols for AI/general computing scenarios, in align with mainstream architectures and protocols in the industry. Drive the continuous evolution of bus technology, ensuring an industry-leading competitive edge of large-scale computing cluster solutions.

Deeply understand the chip architecture and software framework. Implement system-level innovative solutions centered around bus architecture and protocols. Drive co-innovation across chip design, hardware/software, and solutions to ensure business success.