ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE KOMPUTER MENGGUNAKAN OPENMPI

High performance computing can be associated with a method to improve the performance of an application that has a large computational process. This includes distribution of computer resource that the processor load, CPU usage and memory usage computer into multiple units that enable distributed wor...

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Bibliographic Details
Main Authors: , FREDDY KURNIA WIJAYA, , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/90680/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52824
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Institution: Universitas Gadjah Mada
Description
Summary:High performance computing can be associated with a method to improve the performance of an application that has a large computational process. This includes distribution of computer resource that the processor load, CPU usage and memory usage computer into multiple units that enable distributed work simultaneously to improve speed in problem solving. Cluster system that are used woth parallel programming using message passing algorithm interface (MPI) with the implementation oopenMPI to test and analyze the ability to divide the computing process to any computer resource in this regard is the processor load, CPU usage and memory usage as well as an association with a network resource that is traffic, throughput, and packet. The method used is descriptive analysis by way of observing directly from study sites that are responses and views of the system designed and studied the results and analysis resulting from the research process. Tests conducted by running parallel programs and analyze the results of computational processes that have been executed at each node and the relationship between computer resources and network resource using the ganglia cluster monitoring and network monitoring that is ntop the results of this study indicate the rate at which computation is very well shown from some computer resource that has a computer resource and a good network resource on each node when computing process the matrix multiplication and Pi running program parallel.