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.