Task ranking and allocation in list-based workflow scheduling on parallel computing platform

2014 ◽  
Vol 71 (1) ◽  
pp. 217-240 ◽  
Author(s):  
Kuo -Chan Huang ◽  
Ying -Lin Tsai ◽  
Hsiao -Ching Liu
Keyword(s):  
Parallel Computing ◽  
Workflow Scheduling ◽  
Computing Platform ◽  
Task Ranking

Cloud Data Management Based on Cloud Computing Technology

2014 ◽  
Vol 543-547 ◽  
pp. 3573-3576
Author(s):  
Yuan Jun Zou
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Data Processing ◽  
Development Planning ◽  
Computer Data ◽  
Cloud Data ◽  
Computing Platform ◽  
Convergence Error ◽  
Cloud Computing Platform ◽  
Cloud Data Processing

Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.

Heterogeneous transmission and parallel computing platform for remote sensing

SPIE Newsroom ◽  
2011 ◽  
Author(s):  
Yi Guo ◽  
Antonio Ruis ◽  
Serni Ribò ◽  
Carles Ferrer
Keyword(s):  
Remote Sensing ◽  
Parallel Computing ◽  
Computing Platform ◽  
Heterogeneous Transmission

Study on the Numerical Simulation of Explosion and Impact Processes Using PC Cluster System

2012 ◽  
Vol 433-440 ◽  
pp. 2892-2898
Author(s):  
Guang Lei Fei ◽  
Jian Guo Ning ◽  
Tian Bao Ma
Keyword(s):  
Numerical Simulation ◽  
Operating System ◽  
Parallel Computing ◽  
Message Passing ◽  
Message Passing Interface ◽  
Parallel Program ◽  
Pc Cluster ◽  
Computing Platform ◽  
Impact Processes ◽  
Platform System

Parallel computing has been applied in many fields, and the parallel computing platform system, PC cluster based on MPI (Message Passing Interface) library under Linux operating system is a cost-effectiveness approach to parallel compute. In this paper, the key algorithm of parallel program of explosion and impact is presented. The techniques of solving data dependence and realizing communication between subdomain are proposed. From the test of program, the portability of MMIC-3D parallel program is satisfied, and compared with the single computer, PC cluster can improve the calculation speed and enlarge the scale greatly.

Line recognition algorithm for 3D polygonal model using a parallel computing platform

2013 ◽  
Vol 74 (1) ◽  
pp. 259-270 ◽  
Author(s):  
Ji Hun Kang ◽  
Shin Jin Kang ◽  
SooKyun Kim
Keyword(s):  
Parallel Computing ◽  
Recognition Algorithm ◽  
Computing Platform ◽  
Polygonal Model

scholarly journals Contextual Contracts for Component-Based Resource Abstraction in a Cloud of HPC Services

2019 ◽  
Author(s):  
Wagner Al Alam ◽  
Francisco Carvalho Junior
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Large Scale ◽  
Matrix Multiplication ◽  
Small Scale ◽  
Computing Systems ◽  
Computing Platform ◽  
Computing Platforms

The efforts to make cloud computing suitable for the requirements of HPC applications have motivated us to design HPC Shelf, a cloud computing platform of services for building and deploying parallel computing systems for large-scale parallel processing. We introduce Alite, the system of contextual contracts of HPC Shelf, aimed at selecting component implementations according to requirements of applications, features of targeting parallel computing platforms (e.g. clusters), QoS (Quality-of-Service) properties and cost restrictions. It is evaluated through a small-scale case study employing a componentbased framework for matrix-multiplication based on the BLAS library.

Development of Integrated Parallel Computing Platform for Parallel Computing Environment

2017 ◽  
Vol 7 (5) ◽  
pp. 541-545
Author(s):  
Surender Jangra ◽  
◽  
Shant Kaushik ◽  
Mehzabeen Kaur ◽  
◽  
...  
Keyword(s):  
Parallel Computing ◽  
Computing Environment ◽  
Computing Platform
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