Name
Title | ||
|---|---|---|
Parallel Infrastructures and Systems for Near-Field Tsunami Detection and Impact Assessment |
Abstract | ||
|---|---|---|
This paper describes our ongoing effort to develop an efficient and scalable infrastructure to model and simulate near-field tsunamis in order to develop site-specific impact scenarios (e.g. the expected effects of the tsunami on land). Our goal is to be able to leverage this infrastructure in order to provide the necessary information to assist emergency planning, notification and response programs. Our primary focus is to produce the scenario information quickly by efficiently utilizing the available hardware, providing as much lead-time as possible for the response systems. We have been able to show that a distributed computing approach allows for parallel computation of simulations, resulting in shorter times between the occurrence of an event and the simulated output. Included in this paper is our proposed computational model, a summary of our infrastructure and an evaluation of our proposed distributed framework. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WAINA.2014.143 | Advanced Information Networking and Applications Workshops |
Keywords | Field | DocType |
distributed processing,geophysics computing,oceanographic techniques,parallel architectures,tsunami,distributed computing approach,emergency planning,near-field tsunami detection,near-field tsunami impact assessment,near-field tsunami model,near-field tsunami simulation,parallel computation,parallel infrastructures,proposed computational model,proposed distributed framework,site-specific impact scenarios | Emergency planning,Impact assessment,Computer science,Near and far field,Scalability,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yağız Onat Yazır | 1 | 4 | 1.76 |
| Josh Erickson | 2 | 0 | 0.34 |
| Yvonne Coady | 3 | 393 | 46.19 |