OpenKMC

Author:

Li Kun1,Shang Honghui2,Zhang Yunquan2,Li Shigang3,Wu Baodong4,Wang Dong5,Zhang Libo6,Li Fang6,Chen Dexun7,Wei Zhiqiang8

Affiliation:

1. University of Chinese Academy of Sciences, Beijing, China

2. Chinese Academy of Sciences, Beijing, China

3. ETH Zurich, Zurich, Switzerland

4. Chinese Academy of Sciences Sensetime Research, Beijing, China

5. Dalian Ocean University, Dalian, China

6. Wuxi Jiangnan Institute of Computing Technology, Wuxi, China

7. National Supercomputing Center, Wuxi, China

8. Qingdao National Laboratory for Marine Science and Technology, Qingdao, China

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Natural Science Foundation of China

National Key Research & Development Program of China

State Key Laboratory of Computer Architecture Foundation

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer;IEEE Transactions on Parallel and Distributed Systems;2023-07

2. Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing;Modelling and Simulation in Materials Science and Engineering;2023-05-09

3. Status, challenges and trends of data-intensive supercomputing;CCF Transactions on High Performance Computing;2022-06

4. An Efficient Vectorization Scheme for Stencil Computation;2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2022-05

5. Reducing redundancy in data organization and arithmetic calculation for stencil computations;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2021-11-13

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