A computational infrastructure for grid-based asynchronous parallel applications

2007 ◽  
Author(s):  
Zhen Li ◽  
Manish Parashar
Keyword(s):  
Parallel Applications ◽  
Grid Based ◽  
Asynchronous Parallel

LURR as a Grid Service

2012 ◽  
Vol 155-156 ◽  
pp. 940-944
Author(s):  
Feng Liang ◽  
Hao Ming Guo ◽  
Sheng Wei Yi ◽  
Shi Long Ma
Keyword(s):  
Resource Allocation ◽  
Web Service ◽  
Parallel Applications ◽  
Grid Service ◽  
Response Ratio ◽  
Globus Toolkit ◽  
Execution Engine ◽  
Grid Resources ◽  
Grid Based

Load-Unload Response Ratio (LURR) is one of the parallel applications for seismological analysis and requires large amount of computation resources for simulation. In order to accelerate the LURR calculation and optimize the resource allocation, this paper presents a REST style Web Service LURR-Grid. Based on Globus Toolkit, AIS and MyProxy, LURR-Grid is able to accept LURR job request and conduct LURR calculation tasks on Grid Resources. Using MDS in Globus for resources and GRAM5 for job execution engine, LURR-Grid schedule the task using the SED algorithm. The Experiments proves the LURR-Grid is scalable and efficient in resource allocation.

Matlab and Parallel Computing

2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Control Systems ◽  
High Performance ◽  
Parallel Applications ◽  
Process Simulations ◽  
Key Features ◽  
Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

Reciprocal Polarizable Embedding with a Transferable H2O Potential Function I: Formulation & Tests on Dimer

2019 ◽  
Author(s):  
Elvar Jónsson ◽  
Asmus Ougaard Dohn ◽  
Hannes Jonsson
Keyword(s):  
Potential Function ◽  
Dft Method ◽  
Multipole Expansion ◽  
Energy Functional ◽  
Real Space ◽  
Functional Formulation ◽  
General Energy ◽  
Projector Augmented Wave ◽  
Grid Based ◽  
Polarizable Embedding

This work describes a general energy functional formulation of a polarizable embedding QM/MM scheme, as well as an implementation where a real-space Grid-based Projector Augmented Wave (GPAW) DFT method is coupled with a potential function for H<sub>2</sub>O based on a Single Center Multipole Expansion (SCME) of the electrostatics, including anisotropic dipole and quadrupole polarizability.

Service and Application of Grid Based Distributed Spatial Outliers Mining

2011 ◽  
Vol 13 (3) ◽  
pp. 383-390
Author(s):  
Minjing YAO ◽  
Jiaxiang LIN ◽  
Chongcheng CHEN ◽  
Hengbing MA
Keyword(s):  
Spatial Outliers ◽  
Grid Based
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