Parallel Processing Techniques for Simulation

1989 ◽  
Vol 40 (3) ◽  
pp. 307
Author(s):  
Simon Peck ◽  
M. G. Singh ◽  
A. Y. Allinda ◽  
B. K. Daniels
Keyword(s):  
Parallel Processing ◽  
Processing Techniques

scholarly journals PENERAPAN SEO (SEARCH ENGINE OPTIMIZATION) MENGGUNAKAN TEKNIK TOGETHER IN A SINGLE CONNECTION (TSC) DALAM MENINGKATKAN KUNJUNGAN PADA SEBUAH BLOG

Compiler ◽  
2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Devia Tito Setyaningsih ◽  
Hero Wintolo ◽  
Dwi Nugraheny
Keyword(s):  
Parallel Processing ◽  
Programming Languages ◽  
Search Engine ◽  
The Internet ◽  
Internet Service ◽  
Traffic System ◽  
Search Engine Optimization ◽  
The People ◽  
Processing Techniques ◽  
Text Images

One of the internet service used by the people of Indonesia is a blog that can be accessed via http://blogspot.com or http://wordpress.com and others. Everyone can use this medium for the purpose of publication of information in the form of text, images, sounds, or video without having to master web programming languages. One of the obstacles a person who has a blog is a way of increasing number of visitors to his blog. In order for many visitors the blog owner needs to understand about SEO (Search Engine Optimization).To allow users to blog in increasing the number of visitors and ranking his blog, they invented a system that utilizes parallel processing techniques and create a new method, named TSC (Together in a Single Connection) to increase the number of visitors, number of pages viewed and ranking.Increase blog traffic system based on parallel processing can improve the effectiveness in increasing traffic to a blog. With this system the blog owner is expected to be easier to rise to visit his blog.

Using Parallel Processing Techniques as a Computational Tool

2000 ◽  
pp. 471-486
Author(s):  
Andy Marsh ◽  
Mikhail Smelyanskiy ◽  
Dimitra I. Kaklamani
Keyword(s):  
Parallel Processing ◽  
Computational Tool ◽  
Processing Techniques

DISTRIBUTED PARALLEL PROCESSING TECHNIQUES FOR ADAPTIVE SONAR BEAMFORMING

2002 ◽  
Vol 10 (01) ◽  
pp. 1-23 ◽  
Author(s):  
ALAN D. GEORGE ◽  
JESUS GARCIA ◽  
KEONWOOK KIM ◽  
PRIYABRATA SINHA
Keyword(s):  
Parallel Processing ◽  
Minimum Variance ◽  
Adaptive Beamforming ◽  
Autonomous Operation ◽  
Minimum Variance Distortionless Response ◽  
Efficiency And Effectiveness ◽  
Execution Speed ◽  
Processing Techniques ◽  
Performance Results ◽  
Communication Demands

Quiet submarine threats and high clutter in the littoral environment increase computation and communication demands on beamforming arrays, particularly for applications that require in-array autonomous operation. By coupling each transducer node in a distributed array with a microprocessor, and networking them together, embedded parallel processing for adaptive beamformers can glean advantages in execution speed, fault tolerance, scalability, power, and cost. In this paper, a novel set of techniques for the parallelization of adaptive beamforming algorithms is introduced for in-array sonar signal processing. A narrowband, unconstrained, Minimum Variance Distortionless Response (MVDR) beamformer is used as a baseline to investigate the efficiency and effectiveness of this method in an experimental fashion. Performance results are also included, among them execution times, parallel efficiencies, and memory requirements, using a distributed system testbed comprised of a cluster of workstations connected by a conventional network.

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