TRACK A: Hardware & Systems: RISC-V, from Edge AI to Data Center | Kisaco Research

RISC-V adoption has increased dramatically throughout 2022, due to the architecture's simple intruction set, the ability to better pre-process NNs for acceleration and its open source nature. The advent of the RISC-V vector extension allows AI processor builders to develop on top of instructions that other companies are using and then innovate in whatever domain they want to specialize in.


Session Topics: 
Chip Design
Edge AI
ML at Scale
Novel
Systems Design
Sponsor(s): 
Andes Technology
Speaker(s): 

Author:

Bing Yu

Senior Technical Director
Andes Technology

Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.

Bing Yu

Senior Technical Director
Andes Technology

Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.