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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mobley, C.D.: Light and Water: Radiative Transfer in Natural Waters. Academic Press, London (1994)
Leathers, R.A., Downes, T.V., Davis, C.O., Mobley, C.D.: Monte Carlo radiative transfer simulations for ocean optics: A practical guide. Technical report, Naval Research Laboratory, NRL/MR/5660–04–8819, Washington, DC (September 2004)
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludäscher, B., Mock, S.: Kepler: An extensible system for design and execution of scientific workflows. In: Proc. 16th Intl. Conf. on Scientific and Statistical Database Management (SSDBM 2004), pp. 21–23 (June 2004)
Taylor, I., Shields, M., Wang, I., Harrison, A.: Visual Grid workflow in Triana. Journal of Grid Computing 3(3-4), 153–169 (2005)
Sarmiento, J.L., Slater, R., Barber, R., Bopp, L., Doney, S.C., Hirst, A.C., Kleypas, J., Matear, R., Mikolajewicz, U., Monfray, P., Soldatov, V., Spall, S.A., Stouffer, R.: Response of ocean ecosystems to climate warming. Global Biogeochemical Cycles 18 (2004)
Hu, C., Chen, Z., Clayton, T.D., Swarzenski, P., Brock, J.C., Muller-Karger, F.E.: Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL. Remote Sensing of Environment 93(3), 423–441 (2004)
McClain, C.R., Feldman, G.C., Hooker, S.B.: An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series. Deep Sea Research Part II: Topical Studies in Oceanography 51(1-3), 5–42 (2004); Views of Ocean Processes from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Mission: Volume 1
Zibordi, G., Berthon, J.F., Doyle, J.P., Grossi, S., van der Linde, D., Targa, C., Alberotanza, L.: Coastal Atmosphere and Sea Time Series (COASTS), Part 1: A Tower-Based, Long-Term Measurement Program, NASA Goddard Space Flight Center, SeaWiFS Postlaunch Technical Report Series, TM–2002–206892, Greenbelt, MD, June 2002, vol. 19, pp. 1–29 (2002)
D’Alimonte, D., Zibordi, G.: The JRC Data Processing System. NASA Goddard Space Flight Center, SeaWiFS Postlaunch Technical Report Series, TM–2001–206892 Greenbelt, MD, vol. 15, pp. 52–56 (May 2001)
Zaneveld, J.R., Boss, E., Hwang, P.: The influence of coherent waves on the remotely sensed reflectance. Optics Express 9(6), 260–266 (2001)
Zibordi, G., D’Alimonte, D., Berthon, J.F.: An evaluation of depth resolution requirements for optical profiling in coastal waters. Journal of Atmospheric and Oceanic Technology 21(7), 1059–1073 (2004)
Henyey, L., Greenstein, J.: Diffuse radiation in the galaxy. Astrophysical Journal 93, 70–83 (1941)
Colombet, L., Desbat, L.: Speedup and efficiency of large-size applications on heterogeneous networks. Theoretical Computer Science 196, 31–44 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kajiyama, T., D’Alimonte, D., Cunha, J.C., Zibordi, G. (2010). High-Performance Ocean Color Monte Carlo Simulation in the Geo-info Project. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-14403-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14402-8
Online ISBN: 978-3-642-14403-5
eBook Packages: Computer ScienceComputer Science (R0)