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Dive into the research topics where Kensaku Hayashi is active.

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Featured researches published by Kensaku Hayashi.


Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments | 2012

Service-oriented tsunami wave propagation modeling tools

Alexander Vazhenin; Kensaku Hayashi; Alexey Romanenko

A big variety of methods and services for Tsunami Modeling require developing special approaches supporting integration of these heterogeneous components with respect to the various development platforms and architectures. In this paper, we are considering a way of transforming the Tsunami Wave Propagation Modeling Software to a Service-Oriented Architecture (SOA). The transformation was implemented based on the original Virtual MVC-design pattern (VMVC-pattern) that is demarcating a Functional (View) and an Implementation (Model) task by inducing an Integrator (Controller). The paper describes basic features of the MOST (Method of Splitting Tsunami) software package that was used as an initial Propagation Software Engine. It also includes an analysis the initial and output tsunami data and the description of a VMVC-based prototype in which control and resource management operations can be implemented via WEB-interface.


The Journal of Supercomputing | 2018

Evaluations of OpenCL-written tsunami simulation on FPGA and comparison with GPU implementation

Fumiya Kono; Naohito Nakasato; Kensaku Hayashi; Alexander Vazhenin; Stanislav G. Sedukhin

When a tsunami occurred on a sea area, prediction of its arrival time is critical for evacuating people from the coastal area. There are many problems related to tsunami to be solved for reducing negative effects of this serious disaster. Numerical modeling of tsunami wave propagation is a computationally intensive problem which needs to accelerate its calculations by parallel processing. The method of splitting tsunami (MOST) is one of the well-known numerical solvers for tsunami modeling. We have developed a tsunami propagation code based on MOST algorithm and implemented different parallel optimizations for GPU and FPGA. In the latest study, we have the best performance of OpenCL kernel which is implemented tsunami simulation on AMD Radeon 280X GPU. This paper targets on design and evaluation on FPGA using OpenCL. The performance on FPGA design generated automatically by Altera offline compiler follows the results of GPU by several kernel modifications.


PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING (ICONBUILD) 2017: Smart Construction Towards Global Challenges | 2017

Numerical modeling of tsunami propagation on a sequence of refining grids

Kensaku Hayashi; Andrey Marchuk; Alexander Vazhenin

The multi-grid algorithm for the tsunami propagation computation from the initial source to the coastline that uses scale switching has been developed. Computations are carried out on a sequence of grids with various resolutions where one is embedded into another. Tsunami wave parameters are transferred from a larger domain to the embedded smaller one by means of the boundary conditions. Using the method proposed, the numerical simulation of tsunami generated by a model ellipsoidal source located in the middle of the Pacific was carried out.The multi-grid algorithm for the tsunami propagation computation from the initial source to the coastline that uses scale switching has been developed. Computations are carried out on a sequence of grids with various resolutions where one is embedded into another. Tsunami wave parameters are transferred from a larger domain to the embedded smaller one by means of the boundary conditions. Using the method proposed, the numerical simulation of tsunami generated by a model ellipsoidal source located in the middle of the Pacific was carried out.


databases in networked information systems | 2014

Implementing Agent-Based Resource Management in Tsunami Modeling Preliminary Considerations

Michal Drozdowicz; Kensaku Hayashi; Maria Ganzha; Marcin Paprzycki; Alexander Vazhenin; Yutaka Watanobe

Recently, work has started to apply the agent-semantic infrastructure, developed within the scope of the Agents in Grid project, to the resource management needed in tsunami modeling. The original proposal was based on the perceived simplicity, versatility and flexibility of the agent-based approach that makes it easier to deploy than the standard grid middlewares. The aim of this paper is to report on the progress in implementing and deploying the proposed system at the University of Aizu.


International Conference on Intelligent Software Methodologies, Tools, and Techniques | 2014

Service-Oriented Tsunami Modeling: VMVC-Based Functional Engines

Kensaku Hayashi; Alexander Vazhenin; Andrey Marchuk

Lessons learned from the Great Japanese Earthquake and Tsunami provide direction to research and emergency management communities on how to develop tools, models, and methods for mitigating impact for such devastating event both locally and globally. The solution of this problem is that it is more effective to integrate the applications and services rather than rebuilding because redevelopment is a costly affaire. The presented paper demonstrates an approach for developing the service-oriented Tsunami Modeling Environment as a framework of the original Virtual Model-View-Controller (VMVC) design pattern. It is based on decoupling of the view from the mode. The Model-View link is redirected within an enhanced controller as a virtual layer for distributed and service-oriented applications. This allows the programmers to concentrate on building new functionalities and services without bothering on how the services will be exposed, consumed, and maintained. To simplify the structure of services, the Model is represented as a set of application-oriented components named Engines. We are describing the main Tsunami Modeling Functional engines allowing to model each stage of a tsunami process including tsunami wave propagation over the deep ocean water, inundation of these waves on the coast area, and impaction on the coast object. We are also describing in detail the Tsunami Visualizing Engine (TVE) showing the modeling results in a convenient multimedia form. For each engine, we are showing its functionality and corresponding services that are provided by it.


federated conference on computer science and information systems | 2013

Agent-based resource management in Tsunami modeling

Alexander Vazhenin; Yutaka Watanobe; Kensaku Hayashi; Michal Drozdowicz; Maria Ganzha; Marcin Paprzycki; Katarzyna Wasielewska; Pawel Gepner


new trends in software methodologies, tools and techniques | 2014

Application Engines in VMVC-based Tsunami Modeling Environment.

Kensaku Hayashi; Alexander Vazhenin; Andrey Marchuk


The 27th International Ocean and Polar Engineering Conference | 2017

Investigation of the Artificial Underwater Object's Protection Properties Using Numerical Modeling

Kensaku Hayashi; Alexander Vazhenin; Andrey Marchuk


Japan Geoscience Union | 2017

Artificial Underwater Object’s Protection Properties Study using Numerical Modeling

Kensaku Hayashi; Alexander Vazhenin; Andrey Marchuk


2017 IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) | 2017

Performance Evaluation of Tsunami Simulation Using OpenCL on GPU and FPGA

Fumiya Kono; Naohito Nakasato; Kensaku Hayashi; Alexander Vazhenin; Stanislav G. Sedukhin

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Marcin Paprzycki

Polish Academy of Sciences

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Maria Ganzha

Warsaw University of Technology

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Michal Drozdowicz

Polish Academy of Sciences

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