教义 发表于 2025-3-28 17:42:21

Valeria V. Krzhizhanovskaya,Gábor Závodszky,João T

confide 发表于 2025-3-28 21:46:46

Conference proceedings 2020plex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis.Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Proces

观点 发表于 2025-3-29 02:44:04

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玷污 发表于 2025-3-29 06:29:44

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轻信 发表于 2025-3-29 10:29:00

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scotoma 发表于 2025-3-29 11:38:50

Politics and Policies of Sustainabilityty of the code shows that increasing the number of sub-domains and processors from 4 to 1024, where each processor processes the subdomain of . internal points (. box), results in the increase of the total computational time from 120 s to 178 s for a single time step. Thus, we can perform a single t

皱痕 发表于 2025-3-29 18:35:24

,SUDECIR in Practice — the Trier Region,We evaluate our approach on three different hardware platforms and for a wide range of different matrices and demonstrate that our approach achieves time savings of up to 50% for a large number of matrices. This is especially the case on platforms with large caches, significantly increasing the perf

CORD 发表于 2025-3-29 22:17:50

https://doi.org/10.1007/978-3-030-70194-9als in the parameter space exploration of the model are clustered together, the results show that the well known longest processing time scheduling heuristic deals adequately with load imbalance. The proposed parallelization is evaluated on two pharmacometrics models, a domain where hierarchical mod

剥皮 发表于 2025-3-30 01:28:42

https://doi.org/10.1007/978-3-030-70194-9t MPI rank. This approach minimized OpenMP synchronization overhead, avoided slowdowns, performed as fast or (up to 1.5x) faster than Hypre’s MPI only version, and allowed the rest of Uintah to be optimized using OpenMP. Profiling of the GPU version of Hypre showed the bottleneck to be the launch ov

来这真柔软 发表于 2025-3-30 07:37:27

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查看完整版本: Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,João T Conference proceedings 2020 Spri