A Monte Carlo code for ocean color simulations has been developed to model in-water radiometric fields of downward and upward irradiance (E(d) and E(u)), and upwelling radiance (L(u)) in a two-dimensional domain with a high spatial resolution. The efficiency of the code has been optimized by applying state-of-the-art computing solutions, while the accuracy of simulation results has been quantified through benchmark with the widely used Hydrolight code for various values of seawater inherent optical properties and different illumination conditions. Considering a seawater single scattering albedo of 0.9, as well as surface waves of 5 m width and 0.5 m height, the study has shown that the number of photons required to quantify uncertainties induced by wave focusing effects on E(d), E(u), and L(u) data products is of the order of 10(6), 10(9), and 10(10), respectively. On this basis, the effects of sea-surface geometries on radiometric quantities have been investigated for different surface gravity waves. Data products from simulated radiometric profiles have finally been analyzed as a function of the deployment speed and sampling frequency of current free-fall systems in view of providing recommendations to improve measurement protocols.

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Many grid applications involve combining computational and data access components into complex workflows. A distinction is generally made between mechanisms to compose components (referred to as build-time functions) and subsequent mechanisms to execute these components on distributed resources (referred to as run-time functions). An approach to supporting such build- and run-time functions using specialist patterns and operators is presented. “Structural” patterns may be treated as meta-components within a workflow system, and used within the composition process. Subsequently, such components may be scheduled for execution using “behavioral” patterns via the enactment process. Application examples are presented to demonstrate how such patterns — and subsequently operators — may be used. Their implementation within the Triana Problem Solving Environment is also described.

be found in [2] but 'it doesn't discuss parallel computing, and its focus is more on, the operating system level.