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Hiroshi Okuda

Researcher at University of Tokyo

Publications -  115
Citations -  884

Hiroshi Okuda is an academic researcher from University of Tokyo. The author has contributed to research in topics: Finite element method & Solver. The author has an hindex of 14, co-authored 112 publications receiving 810 citations. Previous affiliations of Hiroshi Okuda include Yokohama National University.

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Neural networks in computational mechanics

TL;DR: The most outstanding characteristics of the neural network aided computation is that neither complicated programmings nor rigid algorithms are needed, and the network's inherent parallelism suits the massively parallel computer architectures.
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GPU Acceleration for FEM-Based Structural Analysis

TL;DR: This review investigates the adoption of GPUs as accelerators in the field of Finite Element Structural Analysis, a design tool that is now essential in many branches of engineering, and surveys the work that has been done in accelerating the most time consuming steps of the analysis.
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Parallel Iterative Solvers with Localized ILU Preconditioning for Unstructured Grids on Workstation Clusters

TL;DR: The localized ILU(O) preconditioning method is implemented in various types of iterative solvers and provides data locality and good parallelization on each processor.