A Heuristic Algorithm for Mapping Parallel Applications on Computational Grids

2005 ◽  
pp. 1086-1096 ◽  
Author(s):  
Panu Phinjaroenphan ◽  
Savitri Bevinakoppa ◽  
Panlop Zeephongsekul
Keyword(s):  
Heuristic Algorithm ◽  
Parallel Applications ◽  
Computational Grids

Resource-Aware Load Balancing of Parallel Applications

2009 ◽  
pp. 12-21 ◽  
Author(s):  
Eric Aubanel
Keyword(s):  
Load Balancing ◽  
Dynamic Network ◽  
Computational Grid ◽  
Parallel Applications ◽  
Computational Grids ◽  
Concurrent Execution ◽  
Processor Performance ◽  
Wide Range ◽  
Tightly Coupled ◽  
Resource Aware

The problem of load balancing parallel applications is particularly challenging on computational grids, since the characteristics of both the application and the platform must be taken into account. This chapter reviews the wide range of solutions that have been proposed. It considers tightly coupled parallel applications that can be described by an undirected graph representing concurrent execution of tasks and communication of tasks, executing on computational grids with static and dynamic network and processor performance. While a rich set of solution techniques have been proposed, there has not been of yet any performance comparisons between them. Such comparisons will require parallel benchmarks and computational grid emulators and simulators.

A Heuristic Algorithm for Reconstructing a Packet Filter with Dependent Rules

2013 ◽  
Vol E96.B (1) ◽  
pp. 155-162 ◽  
Author(s):  
Ken TANAKA ◽  
Kenji MIKAWA ◽  
Manabu HIKIN
Keyword(s):  
Heuristic Algorithm ◽  
Packet Filter

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.

Techniques for the visual evaluation of computational grids

1993 ◽  
Author(s):  
KELLY PARMLEY ◽  
JOHN DANNENHOFFER, III ◽  
NIGEL WEATHERILL
Keyword(s):  
Computational Grids ◽  
Visual Evaluation
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