Parallel Programming Paradigms for Crashworthiness Simulation

2009 ◽  
pp. 266-275
Author(s):  
G. Lonsdale ◽  
F. Zimmermann ◽  
J. Clinckemaillie ◽  
S. Meliciani ◽  
S. Vlachoutsis
Keyword(s):  
Parallel Programming ◽  
Programming Paradigms

scholarly journals Parallel Programming Paradigms and Frameworks in Big Data Era

2013 ◽  
Vol 42 (5) ◽  
pp. 710-738 ◽  
Author(s):  
Ciprian Dobre ◽  
Fatos Xhafa
Keyword(s):  
Big Data ◽  
Parallel Programming ◽  
Programming Paradigms

scholarly journals Investigating Parallel Programming Paradigms in HeMPS MPSoC Platform

2019 ◽  
Author(s):  
Geaninne Lopes ◽  
Aline Mello ◽  
Ewerson Carvalho ◽  
César Marcon
Keyword(s):  
Parallel Programming ◽  
Power Dissipation ◽  
Execution Time ◽  
Matrix Multiplication ◽  
Divide And Conquer ◽  
Image Manipulation ◽  
Multiprocessor System ◽  
Input Size ◽  
Programming Paradigms ◽  
The Impact

This work investigates the use of parallel programming paradigms in the development of applications targeting a Multiprocessor System-on-Chip (MPSoC). We implemented Matrix Multiplication, Image Manipulation and Advanced Encryption Standard (AES) applications in the Master-Slave, Pipeline and Divide-and-Conquer paradigms, and applied execution time and power dissipation as criteria for evaluating the performance of the applications executing according to the paradigms on an MPSoC architecture. The obtained results allowed ​us to conclude that there are optimal application-paradigm relations. Pipeline presents lower execution time and lower power dissipation for the Image Manipulation application; whereas, Master-Slave performs better for the Matrix Multiplication and AES applications. However, when the input size of the applications increases, the Divide-and-Conquer paradigm tends to minimize the execution time for Matrix Multiplication application. ​The main contributions of this work are the development of applications, considering different paradigms, and the impact evaluation of these paradigms on MPSoC architecture.

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