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Sep 2026

A rapid atmospheric radionuclide dispersion prediction and dose assessment method based on the physics-aware spatio-temporal neural operator.

Rapid prediction of atmospheric radionuclide dispersion is essential for emergency decision-making and radiation protection in nuclear accidents. Although computational fluid dynamics (CFD) methods provide high accuracy, their limited efficiency makes it difficult to meet timeliness requirements. To address this limita...

Zi-Hui Yang, Bo-Ang Ge, Xiao Wang et al. · 0 citations
Open access Aug 2026

DistSpMM: Accelerating Sparse Matrix Dense Matrix Multiplication on GPUs

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, Zhikuang Xin et al. · 0 citations
#edge computing Book Open access Sep 2026

Vadar: Runtime Performance Variance Detection and Diagnosis for Parallel Applications

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. · 0 citations
Sep 2026

HIP-DFPT: Scalable Optimization of Irregular Workloads in Quantum Perturbation on GPU Clusters

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. · 3 citations

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