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 language | Unknown |
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Title of host publication | Lecture Notes in Computer Science |
Editors | R Wyrzykowski, J Dongarra, K Karczewski, J Wasniewski |
Publisher | Springer Berlin / Heidelberg |
Pages | 370-379 |
Volume | 6068 |
ISBN (Print) | 978-3-642-14402-8 |
DOIs | |
Publication status | Published - 1 Jan 2010 |
Event | PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM) - Duration: 1 Jan 2009 → … |
Conference
Conference | PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM) |
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Period | 1/01/09 → … |