HPC-AI Advisory Council Announces the 9th Annual APAC RDMA Competition Awards

40 Student Teams Participated in an Eight-Day Hands-On Training and RDMA Hackathon

BEIJING & SUNNYVALE, Calif. & SINGAPORE–(BUSINESS WIRE)–#ai–The HPC-AI Advisory Council (HPCAIAC) today announced the results of its 9^th Annual APAC RDMA Competition. The annual APAC RDMA programming competition�s mission is to bridge the gap between state-of-art HPC, AI and storage communication technologies and university lecture programs across APAC. The competition provides the opportunity for students in universities and research centers to learn and practice with the industry’s most advanced RDMA programming technologies. The 9^th annual competition provided RDMA programming lectures for more than 40 teams and selected 20 teams to participate in the final competition from 11 countries and regions in APAC.

The top three winners of the competition were:

• 1^st Place and overall champion – China Nanjing University
• 2^nd Place – University of Science and Technology of China and King Mongkut’s Institute of Technology Ladkrabang of CMKL University from Thailand
• 3^rd Place – Fudan University, University of Tsukuba and Taiwan National ChiNan University

With nearly a decade of delivering complimentary RDMA programming lectures and hands-on training, the APAC RDMA competition has become instrumental in driving HPC and AI technologies and education into APAC. Students who pass the lecture certification are provided with an RDMA programmer certificate letter. 100s of students have been certified in past competitions, with many of them graduating and becoming core programmers in top companies throughout the world.

This year, the APAC RDMA programming competition targeted rising technologies that are fueling Cloud-Native Supercomputing. The HPC-AI Advisory Council performed specialized RDMA programming training for data processing unit (DPU) + CPU-based platforms, and how to fully utilize the efficiency between DPUs and CPUs to reach the best application performance.

“RDMA programming capabilities have become a fundamental requirement from modern HPC and AI applications, creating a surging demand by hyperscale cloud providers and data centers for RDMA programmers from universities and research centers,” said Gilad Shainer, chairman of HPC-AI Advisory Council. “With over 450 member organizations worldwide, the HPC-AI Advisory is enabling the industry with educated talent to help face their most challenge applications.”

The competition was supported by the University of Science and Technology of China, the Ohio State University and Tsinghua University who shared their latest RDMA programming experience.

About HPC-AI Advisory Council

Founded in 2008, the HPC-AI Advisory Council (HPCAIAC) is a for community benefit organization with over 400 members committed to promoting HPC and AI through education and outreach. Find out more, become a member @ hpcadvisorycouncil.com

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