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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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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| author | , FREDDY KURNIA WIJAYA , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. |
| author_facet | , FREDDY KURNIA WIJAYA , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. |
| author_sort | , FREDDY KURNIA WIJAYA |
| collection | UGM |
| description | 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. |
| first_indexed | 2024-03-13T22:11:13Z |
| format | Thesis |
| id | oai:generic.eprints.org:90680 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:11:13Z |
| publishDate | 2011 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:906802014-08-20T02:51:24Z https://repository.ugm.ac.id/90680/ ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE KOMPUTER MENGGUNAKAN OPENMPI , FREDDY KURNIA WIJAYA , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. ETD 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. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , FREDDY KURNIA WIJAYA and , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. (2011) ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE KOMPUTER MENGGUNAKAN OPENMPI. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52824 |
| spellingShingle | ETD , FREDDY KURNIA WIJAYA , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D. ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE KOMPUTER MENGGUNAKAN OPENMPI |
| title | ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE
KOMPUTER MENGGUNAKAN OPENMPI |
| title_full | ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE
KOMPUTER MENGGUNAKAN OPENMPI |
| title_fullStr | ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE
KOMPUTER MENGGUNAKAN OPENMPI |
| title_full_unstemmed | ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE
KOMPUTER MENGGUNAKAN OPENMPI |
| title_short | ANALISIS KINERJA SISTEM CLUSTER DALAM PEMBAGIAN RESOURCE
KOMPUTER MENGGUNAKAN OPENMPI |
| title_sort | analisis kinerja sistem cluster dalam pembagian resource komputer menggunakan openmpi |
| topic | ETD |
| work_keys_str_mv | AT freddykurniawijaya analisiskinerjasistemclusterdalampembagianresourcekomputermenggunakanopenmpi AT teguhbharataadjistmtmengphd analisiskinerjasistemclusterdalampembagianresourcekomputermenggunakanopenmpi |