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Extreme-scale numerical simulations seriously demand extreme parallel computing capabilities.To address the challenges of these capabilities toward exascale,we systematically analyze the major bottlenecks of parallel computing research from three perspectives:computational scale,computing efficiency,and programming productivity.For these bottlenecks,we propose a series of urgent key issues and coping strategies.This study will be useful in synchronizing development between the numerical computing capability and supercomputer peak performance.