Accurate simulation of terrestrial ecological carbon cycles is crucial for global climate change and ecosystem management. Process-based carbon models have high interpretability, but suffer from insufficient accuracy and slow computation due to fixed parameters. In contrast, deep-learning carbon models achieve high acc...
Meng Wan, Tian-Tian Liu, Zhi-Xin Xia et al.· Proceedings of the Thirty-Fi...· 0 citations
The proposed DistSpMM proposes DistSpMM, a co-design framework integrating data layout, pipelining, and communication strategies, which introduces HSDMA, a lightweight algorithm that reduces communication by optimizing the dense matrix allocation.
Junyu Gu, Jue Wang, Zhi-Kuang Xin et al.· ACM Transactions on Architec...· 0 citations
Vadar adopts a non-intrusive dynamic interception mechanism to monitor parallel applications with state transition detection to cope with workload change at runtime, and provides comprehensive monitoring for both regular and irregular computational workloads.
Yi-Fan Jia, Shuang Niu, Yu-Hang Hu et al.· Proceedings of the Internati...· 0 citations
Irregular workloads challenge GPUs with small tasks, unpredictable branching, and uneven load distribution. Quantum perturbation theory and Density Functional Theory (DFT) represent a prominent example, where such irregular patterns arise in large-scale simulations of materials and molecules. Despite recent efforts to...
Meng Wan, Hao Du, Jue Wang et al.· IEEE Transactions on Paralle...· 3 citations
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