Wei Li is Vice President and General Manager of Machine Learning Performance at Intel Corporation. He is responsible for all of AI software development including deep learning, machine learning, big data analytics, and hardware acceleration co-design on Intel CPUs, GPUs and XPUs. Under his leadership, his team delivered more than 200X AI inference performance with software optimizations on Xeon CPU, deployed widely for multiple data center frameworks/applications and won the Stanford DAWNBench AI competition for inference. His efforts are instrumental in realizing multi-billion AI revenue growth for Intel datacenter business.
During his 20+ years of experience, he led teams across multiple software domains including delivering just-in-time (JIT) binary translation software stack to ensure android applications and games ran well on IA-based mobile processors. His software journey at Intel started in the compiler team, where he spearheaded compiler development to set performance world records on parallel servers and supercomputers to help Intel enter the server market.
He was a member of the joint Intel/Microsoft technical committee that helped create the parallel computing research centers at the University of California-Berkeley and the University of Illinois at Urbana-Champaign. He also served as an associate editor for ACM Transactions on Programming Languages and Systems. He received his Ph.D. in Computer Science from Cornell University, and has completed an executive acceleration program at the Stanford Graduate School of Business.