In response to the high uncertainty of large-scale new energy output in electrical system (EES) and weak controllability at multiple time scales, this paper proposes a grid identification model for transient balance EESs based on partitioning, which has an increasingly complex impact areas sending-end network. First, accumulation port during faults propagation mechanism were studied, EES was es...

A global multi-grid/GMRES solution methodology on distributed memory machines is successfully developed in this study. To preserve the effectiveness of the multigrid scheme, the grid partitioning is based on the communication graph of the coarsest grid, so that all levels of the multi-grids are located in the same zone (processor). Each node of the graph is weighted with the total number of the...

In this paper, two methods that are capable to efficiently partition 3-D unstructured grids for parallel processing, will be presented. Implicit to either of these methods are a recursive bisection pattern, a multilevel acceleration scheme and local refinement heuristics. Although both are based on Genetic Algorithms (GAs), their concept and formulation are completely different. The first metho...

This report presents a proposal for a new discrete global grid (DGG) that is recommended for implementation within IPF's software for processing scatterometer data and generating soil moisture products. The new grid is to improve the current adapted sinusoidal grid used within WARP4.0. An overview of the three main methods for implementing DGG'S; partitioning, tiling and subdivision, is present...

A new, mixed decanethiol (DT)/mercaptohexanol (MH) partition layer with dramatically improved properties has been developed for glucose sensing by surface-enhanced Raman spectroscopy. This work represents significant progress toward our long-term goal of a minimally invasive, continuous, reusable glucose sensor. The DT/MH-functionalized surface has greater temporal stability, demonstrates rapid...

We study two implementations of the Conjugate Gradient method for solving large sparse linear systems of equations on a heterogeneous computing grid, using GridSolve as grid middleware. We consider the standard CG algorithm of Hestenes and Stiefel, and as an alternative the Chronopoulos/Gear variant, a formulation that is potentially better suited for grid computing since it requires only one s...

It is a large and complex task to design and implement a workflow management system that supports scalable executions of largescale scientific workflows in distributed and unstable Grid environments. In this paper we describe the Distributed workflow Enactment Engine (DEE) of the ASKALON application development environment for Grid computing. DEE proposes a de-centralized architecture that simp...

The partitioning of a discretized computational domain is fundamental for solving many application problems on parallel high performance computer systems. This is also the key to work load balancing and minimizing communication overhead. This contribution focus on partitioning of real application problems for the parallel TOUGH2 software. TOUGH2 is a widely used reservoir simulator for solving ...