QS

Qingchun Song

Chair, HPC Advisory Council, Asia at HPC Advisory Council

Qingchun Song has a Master in Computing Science from the China Tsinghua University. He has 15 years of experience in the HPC and storage industries and took part in many China, Japan, Singapore and Korea supercomputer designs. Qingchun was principle architect of AI solutions and participated in building an RDMA eco-system for machine learning/deep learning and big data frameworks.


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HPC Advisory Council

The HPC Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) use and its potential.


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11-50

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