4 papers
From Idle to Urgent: A Resource-Harvested HPC Workflow for High-Fidelity Seismic Estimation
Tsuyoshi Ichimura, Kohei Fujita, Hideaki Ito +3
We propose an Urgent Interactive HPC workflow that dynamically integrates high-fidelity 3D nonlinear analysis with surrogate neural networks (NNs) to enable rapid decision-making d…
Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Tsuyoshi Ichimura, Kohei Fujita, Hideaki Ito +2
Nonlinear time-history evolution problems employing high-fidelity physical models are essential in numerous scientific domains. However, these problems face a critical dual bottlen…
Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach
Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori +5
We propose a CPU-GPU heterogeneous computing method for solving time-evolution partial differential equation problems many times with guaranteed accuracy, in short time-to-solution…
Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation using OpenACC
Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura +3
In this paper, we develop a low-order three-dimensional finite-element solver for fast multiple-case crust deformation analysis on GPU-based systems. Based on a high-performance so…