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On the performance and scalability of an HPC enhanced Multi Agent System based evacuation simulator.

, , , и . ICCS, том 108 из Procedia Computer Science, стр. 937-947. Elsevier, (2017)

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Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element., , , , , , , , , и 3 other автор(ы). PASC, стр. 12:1-12:12. ACM, (2021)Physics-Based Urban Earthquake Simulation Enhanced by 10.7 BlnDOF × 30 K Time-Step Unstructured FE Non-Linear Seismic Wave Simulation., , , , , , и . SC, стр. 15-26. IEEE Computer Society, (2014)Automatic Evacuation Management Using a Multi Agent System and Parallel Meta-Heuristic Search., , , и . PRIMA, том 9862 из Lecture Notes in Computer Science, стр. 387-396. Springer, (2016)Wave Propagation Simulation of Complex Multi-Material Problems with Fast Low-Order Unstructured Finite-Element Meshing and Analysis., , , , , , и . HPC Asia, стр. 24-35. ACM, (2018)Development of Element-by-Element Kernel Algorithms in Unstructured Implicit Low-Order Finite-Element Earthquake Simulation for Many-Core Wide-SIMD CPUs., , , , , , и . ICCS (1), том 11536 из Lecture Notes in Computer Science, стр. 267-280. Springer, (2019)Distributed Memory Parallel Implementation of Agent-Based Economic Models., , , , , , , и . ICCS (2), том 11537 из Lecture Notes in Computer Science, стр. 419-433. Springer, (2019)Fast Finite Element Analysis Method Using Multiple GPUs for Crustal Deformation and its Application to Stochastic Inversion Analysis with Geometry Uncertainty., , , , , и . ICCS, том 108 из Procedia Computer Science, стр. 765-775. Elsevier, (2017)HPC Enhanced Large Urban Area Evacuation Simulations with Vision based Autonomously Navigating Multi Agents., , , , и . ICCS, том 18 из Procedia Computer Science, стр. 1515-1524. Elsevier, (2013)Extreme Scale Earthquake Simulation with Uncertainty Quantification., , , , , , , , , и 2 other автор(ы). SC, стр. 4:1-4:11. IEEE, (2022)Seamless Simulations of Earthquake Disasters and Economy at 1: 1 scale Utilizing Big-data., , , , , , , и . WI/IAT (Workshop/Special Session), стр. 101-108. ACM, (2021)