A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing

2017 ◽  
Vol 1 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Lingda Li ◽  
Robel Geda ◽  
Ari B. Hayes ◽  
Yanhao Chen ◽  
Pranav Chaudhari ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Partition Model ◽  
Edge Partition

A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing

2017 ◽  
Vol 45 (1) ◽  
pp. 6-6
Author(s):  
Lingda Li ◽  
Robel Geda ◽  
Ari B. Hayes ◽  
Yanhao Chen ◽  
Pranav Chaudhari ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Partition Model ◽  
Edge Partition

Parallel Computing in Optimization

1998 ◽  
Vol 49 (7) ◽  
pp. 770-771
Author(s):  
V J Rayward-Smith
Keyword(s):  
Parallel Computing

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.

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