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parallel environment

Review of Scheduling Algorithm Followed in Parallel Environment

Review of Scheduling Algorithm Followed in Parallel Environment

... In this job scheduling algorithm job is distributed to the processor within the system on the first come first serve basis. This algorithm may or may not yield optimal solutions. [3]The allocated processor release the ...

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Data Mining Techniques in Parallel Environment  A Comprehensive Survey

Data Mining Techniques in Parallel Environment A Comprehensive Survey

... using parallel approach. The parallel formulation, must address issue of efficiency and scalability both in terms of memory requirements and parallel run ...highly parallel environment ...

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Review of Various Strategies Followed in Order to Allocate Job in Parallel Environment

Review of Various Strategies Followed in Order to Allocate Job in Parallel Environment

... problem parallel systems can be resolved. The parallel system involve group of processors that could be same or distinct in ...the parallel system is known as array environment and distinct ...

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Optimized Scheduling Procedure for Enhancing Resource Utilization in Heterogeneous Parallel Environment

Optimized Scheduling Procedure for Enhancing Resource Utilization in Heterogeneous Parallel Environment

... [19]Bat Algorithm was introduced by Yang in year 2010 based on the echolocation behavior of Bats. To estimate the distance of prey, bat used echolocation to sense the distance.BAT algorithm is totally based on the ...

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ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

... Finally, the effectiveness of the proposed method was tested using a sample of Arabic words extracted from the IFN/ENIT database and the results indicated that the bag-of-visual-words ap[r] ...

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ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

... based parallel approach [28], [29] implemented on multicore and GPU architecture are the bottleneck on memory requirement as the increase in the ℓ and d ...

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ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

... The mechatronic enterprise viewpoint is defined as '' a viewpoint on an mechatronic system and its environment that focuses on the purpose, scope and policies for this system. «The enterprise viewpoint langage ...

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ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

ENHANCED PLANTED(ℓ,D) MOTIF SEARCH PRUNE ALGORITHM FOR PARALLEL ENVIRONMENT

... MAC protocols draw a lot of attention due to their effect on the lifetime of wireless Sensor Network (WSN). Sensor nodes are driven by batteries which have a limited lifetime. Also, these nodes are deployed in the harsh ...

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Using Facebook as a Cloud Platform for Solving Numerical Optimization Problem

Using Facebook as a Cloud Platform for Solving Numerical Optimization Problem

... In this paper, we show the results and analysis for numerical op- timization problems run in normal environment and in parallel environment by optimizing with the help of Niched Genetic Al- ...

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Parallel Performance of Domain Decomposition Method on Distributed Computing Environment

Parallel Performance of Domain Decomposition Method on Distributed Computing Environment

... Distributed parallel computing, which uses general- purpose workstations connected by a network as a large parallel computing resource, is one of the most promising trends in parallel ...such ...

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Developing and Measuring Parallel Rule-Based Systems in a Functional Programming Environment

Developing and Measuring Parallel Rule-Based Systems in a Functional Programming Environment

... the parallel environment aims to ensure that the machine is being used ...a parallel machine an equal amount of work to perform ...the parallel environment, then some existing tasks ...

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A Review On Suitable Execution Environment For Executing Parallel Workloads With Mapreduce And Spark

A Review On Suitable Execution Environment For Executing Parallel Workloads With Mapreduce And Spark

... Hadoop [2] is often used to train a Linear Regression model on large datasets for the prediction of values given some input data-points in future. The fitting of a regression line can’t work independently on each node. ...

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Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

... It is a parallel algorithm which is implemented using the Hadoop platform. The MRPrePost is an improved Pre-Post algorithm which uses the mapreduce framework. The MRPrePost algorithm is used to find the ...

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A grid-enabled problem solving environment for parallel computational engineering design

A grid-enabled problem solving environment for parallel computational engineering design

... Having provided an explanation of the engineering application, and how it may be exe- cuted in parallel across a computational Grid, Section 6 focuses on the PSE itself. This is a vital tool in effective use of ...

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Depression Among Pregnant Latinas In South Carolina

Depression Among Pregnant Latinas In South Carolina

... A distributed transaction can fail if there is a DBMS node failure, if a commu- nications link fails, or if a message is dropped. Distributed transaction processing is more fragile than localized transaction processing. ...

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Technique of Building Parallel Data Mining Algorithms

Technique of Building Parallel Data Mining Algorithms

... of parallel data mining algorithms are spent on parallelization of individual analysis algorithms and their further optimization [1, ...computing environment, therefore, when such a solution is transferred ...

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Data Mining Techniques in Parallel and Distributed Environment- A Comprehensive Survey

Data Mining Techniques in Parallel and Distributed Environment- A Comprehensive Survey

... Clustering process can be optimised by sending best representatives to a server site. The process can be very efficient, because determining local representatives can be carried out quickly and independently from each ...

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An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines

An Efficient Parallel Substrate for Typed Feature Structures on Shared Memory Parallel Machines

... We propose an efficient programming environment for developing parallel NLP systems on shared-memory parallel machines, called the Parallel Substrate for Typed Feature Structures PSTFS..[r] ...

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Incremental-Parallel Data Stream Classification in Apache Spark Environment

Incremental-Parallel Data Stream Classification in Apache Spark Environment

... Incremental Parallel Random Forest (IPRF) algorithm for data streams in spark cloud computing ...stream environment, to reduce the communication cost, volume data using vertically data-partitioning, ...

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Implementing Parallel Data Mining Algorithm on High Performance Data Cloud

Implementing Parallel Data Mining Algorithm on High Performance Data Cloud

... large-scale parallel algorithm for Data mining is gaining more ...based parallel data mining algorithm which deals with Hadoop cloud, a parallel store and computing ...

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