High-Performance Ocean Color Monte Carlo Simulation in the Geo-info Project

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Geo-Info project aims to provide Geoscience experts with software toolkits tailored for selected target application domains. Within this framework, high-performance computing (HPC) solutions are here applied to optimize a Monte Carlo (MC) code to support Ocean Color (OC) investigations. The present paper introduces the Geo-Info project, describes the HPC solutions applied for the OC MC case study, and gives early performance results focusing on runtime, speedup, and parallel efficiency.
Original languageUnknown
Title of host publicationLecture Notes in Computer Science
EditorsR Wyrzykowski, J Dongarra, K Karczewski, J Wasniewski
PublisherSpringer Berlin / Heidelberg
Pages370-379
Volume6068
ISBN (Print)978-3-642-14402-8
DOIs
Publication statusPublished - 1 Jan 2010
EventPARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM) -
Duration: 1 Jan 2009 → …

Conference

ConferencePARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM)
Period1/01/09 → …

Cite this

D'alimonte, D., Cunha, J. A. C. E., & Kajiyama, T. (2010). High-Performance Ocean Color Monte Carlo Simulation in the Geo-info Project. In R. Wyrzykowski, J. Dongarra, K. Karczewski, & J. Wasniewski (Eds.), Lecture Notes in Computer Science (Vol. 6068, pp. 370-379). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_39