Abstract:The goal of the work is to enhance the execution scalability of the code called AtomicClusters for evaluations of in-medium properties of nuclear clusters to extreme scales. In order to fully exploit the computing power of massively parallel supercomputing systems, the code was supplemented with parallel output and dynamic scheduling system based on task-stealing technique. The scheduling system was implemented for state-of-the-art distributed-memory high-performance computers (HPC) using the advanced features… Show more
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