Toward Parallel Computing on Personal Computers in Mathematical Programming

For large-scale object or scene which needs high requirements of deformation detection, a comprehensive deformation analysis method is proposed based on the time-varying point cloud to perform continuous detection, to comprehensively analyze the deformation and to research its characteristics and rules. In order to improve computing efficiency, a BSP parallel algorithm based on deformation analysis of time-varying point cloud is designed according to BSP parallel computing technology, and the deformational data are handled by a HAMA computing cluster which is composed of common personal computers. Several computing results from both simulations and real cases have proved the feasibility and effectiveness of analyzing method and BSP analyzing algorithm of deformation of time-varying point cloud.

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Parallel computing on personal computers

Proceedings of the 1986 ACM SIGSMALL/PC symposium on Small systems - SIGSMALL '86 ◽

10.1145/317559.322756 ◽

1986 ◽

Cited By ~ 2

Author(s):

O. Vornberger

Keyword(s):

Parallel Computing ◽

Personal Computers

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Five ways to insert concurrency to a program written in C#

Journal of Computer Sciences Institute ◽

10.35784/jcsi.641 ◽

2018 ◽

Vol 6 ◽

pp. 62-67

Author(s):

Paweł Szyszko ◽

Jakub Smołka

Keyword(s):

Parallel Computing ◽

Mobile Devices ◽

Personal Computers ◽

Thread Pool ◽

The One

Nowadays processors working in personal computers and mobile devices allow for more and more effective parallel computing. Developers have at their disposal many different methods of implementing concurrency, but usually use the one, that they now best. It is beneficial to know, when a particular technique is good and when it is better to find an alternative. This paper presents different ways of implementing parallel mathematical calculations using threads, tasks, thread pool, task pool and parallel for loop. Each method was used in a C# application running on Windows Presentation Foundation engine on .NET platform. Implemented operation is calculation value of Pi using Leibnitz’s formula.

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On the implementation and improvement of automatic EEG spike detection algorithm

Lietuvos matematikos rinkinys ◽

10.15388/lmr.a.2015.11 ◽

2015 ◽

Vol 56 ◽

Author(s):

Andrius Vytautas Misiukas Misiūnas ◽

Tadas Meškauskas ◽

Algimantas Juozapavičius

Keyword(s):

Parallel Computing ◽

Brain Activity ◽

Detection Algorithm ◽

Personal Computers ◽

Spike Detection ◽

Morphological Filters ◽

Computing Support

The algorithm of automatic EEG spike detection and its implementation is described in this article. The algorithm implemented is based on mathematical morphological filters which distinguishes background brain activity from EEG spikes. The implementation of the algorithm is system independent, it can be deployed on both personal computers and clusters with MPI parallel computing support.

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Computers for data, control and simulation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106661 ◽

1988 ◽

Vol 46 ◽

pp. 920-921

Author(s):

David C. Joy

Keyword(s):

Personal Computers ◽

Monitoring And Control ◽

Data Logging ◽

Data Logger ◽

Operational Conditions ◽

Data Control ◽

The Many ◽

And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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