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high-performance compute cluster

64 bit architechtures and compute clusters for high performance simulations

64 bit architechtures and compute clusters for high performance simulations

... Monte cluster was designed as a budget constrained pilot project to determine the feasibility of using dedicated high memory compute nodes for ...processor compute nodes; and a housing cabinet ...

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Cloud Reference Architecture for Big data Analytics

Cloud Reference Architecture for Big data Analytics

... distributed compute, and storage ...distributed compute and data storages, wide range of computing facilities with seamless access to scalable storage repositories and data services, information-defined ...

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FPGA  Cluster  based  high  performance  Cryptanalysis  framework

FPGA Cluster based high performance Cryptanalysis framework

... FPGA Cluster and user application memory ...achieve high throughput communication between crypt-analysis application running on the host and the crypto kernel (compute module) on the ...

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Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing

Build and Evaluate a Free Virtual Cluster on Amazon Elastic Compute Cloud for Scientific Computing

... sufficient high- end computing ...virtual cluster using StarCluster on Amazon Elastic Compute Cloud ...comprehensive performance evaluation of the virtu- al cluster built ...virtual ...

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Enhanced the Performance of Self-Optimal Clustering Technique Using Particle Swarm Optimization

Enhanced the Performance of Self-Optimal Clustering Technique Using Particle Swarm Optimization

... SOC cluster is suffered from a selection of k number of cluster for ...of cluster improves the performance of cluster weighted cluster for multi- category data ...accuracy ...

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K-Means Clustering And Naive Bayes Classifier For Categorization Of Diabetes Patients

K-Means Clustering And Naive Bayes Classifier For Categorization Of Diabetes Patients

... Diabetes Dataset where object corresponds to Diabetic result and object class label corresponds to results of diabetes. Every diabetes result consists of various parameters which are used to predict the result of ...

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Computational Cluster with Entangled States

Computational Cluster with Entangled States

... The notation ⊕L → BQP points out that the computer with equivalence is developed to full quantum universality when the state of the cluster is utilized as an output state. The remaining families of output states ...

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Identifying friction stir welding process parameters through coupled numerical and experimental analysis

Identifying friction stir welding process parameters through coupled numerical and experimental analysis

... of high performance cluster parallel computing and the commercial Finite Element software ABAQUS python codes, the Finite Element Method was coupled with a genetic algorithm optimization to obtain ...

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Performance of Machine Learning for Lane Detection

Performance of Machine Learning for Lane Detection

... A better implementation of the algorithm is to compute the cluster means of all reasonably possible number of clusters in the data keeping a threshold in the value of the Silhouette Coef[r] ...

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An  algorithm  for  MD5  single-block  collision  attack  using  high-performance  computing  cluster

An algorithm for MD5 single-block collision attack using high-performance computing cluster

... We did not use any accelerator devices like Intel Xeon Phi, that are present on the cluster, but this is feasible for our implementation. We actually implemented multi-threaded version and the CUDA version to be ...

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Green Solution for Cloud Computing with Load Balancing and Power Consumption Management

Green Solution for Cloud Computing with Load Balancing and Power Consumption Management

... Abstract -- Cloud computing a relatively recent term builds on decades of research in virtualization, distributed computing, utility computing, and networking, web and s/w services. The consequence of network based cloud ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... Thus, load concentration involves an interesting performance vs. power tradeoff. The implementations were performed in two ways: (1) at the application level for the network server; and (2) at the OS level for the ...

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Genetic diversity in Roselle (Hibiscus sabdariffa L.) for fibre yield

Genetic diversity in Roselle (Hibiscus sabdariffa L.) for fibre yield

... divergence. Cluster III which consists of two genotypes has high cluster mean values for most of the fibre yield contributing characters, followed by Cluster VI and Cluster IV while ...

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Insight into the genetic diversity of eggplant (Solanum melongena L.) genotypes through D2 analysis

Insight into the genetic diversity of eggplant (Solanum melongena L.) genotypes through D2 analysis

... each cluster had smaller D2 statistic than in other ...in cluster I constituting the largest cluster, followed by cluster IV with 13 genotypes, cluster III with 11 genotypes, ...

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Performance Analysis of Tree Cluster Based Data Gathering for WSNs

Performance Analysis of Tree Cluster Based Data Gathering for WSNs

... In [9],this paper they propose a tree-cluster-based data- gathering algorithm (TCBDGA) for WSNs with a mobile sink. In this paper they introduce weight-based tree-construction method. Rendezvous points (RPs) are ...

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Cloud Computing and Digital Media Fundamentals pdf

Cloud Computing and Digital Media Fundamentals pdf

... From the perspective of multimedia service providers, there are two fundamental concerns: the QoS and the resource cost. Multimedia appli- cations are typically delay sensitive. Therefore, the service response time is ...

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Title: IoT based Imetated Educational Exam System

Title: IoT based Imetated Educational Exam System

... using High Performance Computing (HPC) Cluster Infrastructure, as well as some existing videoconferencing technologies enriched with mobile and wire-less ...HPC Cluster Infrastructure for ...

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Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu

Performance Analysis of MPI (mpi4py) on Diskless Cluster Environment in Ubuntu

... In our work we tried to give an overview of how a high performance diskless cluster system works with an MPI implementation on Linux Ubuntu by showing the comparisons of execution times [r] ...

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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL 
NETWORK FOR PREDICTING THE DIABETES DISEASE

A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE

... Computer cluster network topology: Computer cluster topology, is the one which isolate the cluster nodes from the general public network, the topology provides a hyperbolic security by exposing ...

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File Clustering using Forensic Analysis System

File Clustering using Forensic Analysis System

... 1) Preprocessing- In preprocessing step there are three steps such as a) fetch a file contents, b) stopword removal c) stemming. In all the above steps the basic purpose is to check the file contain and to remove the ...

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