Performance of scientific processing in networks of workstations: matrix multiplication example
Parallel computing on networks of workstations are intensively used in some application areas such as linear algebra operations. Topics such as processing as well as communication hardware heterogeneity are considered solved by the use of parallel processing libraries, but experimentation about perf...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2001
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9410 http://journal.info.unlp.edu.ar/wp-content/uploads/pap7.pdf |
| Aporte de: |
| id |
I19-R120-10915-9410 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Redes neuronales performance; cluster parallel computing; scientific processing Puestos de trabajo Funcionamiento de los sistemas Matrices Programación paralela |
| spellingShingle |
Ciencias Informáticas Redes neuronales performance; cluster parallel computing; scientific processing Puestos de trabajo Funcionamiento de los sistemas Matrices Programación paralela Tinetti, Fernando Gustavo Performance of scientific processing in networks of workstations: matrix multiplication example |
| topic_facet |
Ciencias Informáticas Redes neuronales performance; cluster parallel computing; scientific processing Puestos de trabajo Funcionamiento de los sistemas Matrices Programación paralela |
| description |
Parallel computing on networks of workstations are intensively used in some application areas such as linear algebra operations. Topics such as processing as well as communication hardware heterogeneity are considered solved by the use of parallel processing libraries, but experimentation about performance under these circumstances seems to be necessary. Also, installed networks of workstations are specially attractive due to its extremely low cost for parallel processing as well as its great availability given the number of installed local area networks. The performance of such networks of workstations is fully analyzed by means of a simple application: matrix multiplication. A parallel algorithm is proposed for matrix multiplication derived from two main sources: a) previous proposed algorithms for this task in traditional parallel computers, and b) the bus based interconnection network of workstations. This parallel algorithm is analyzed experimentally in terms of workstations workload and data communication, two main factors in overall parallel computing performance. |
| format |
Articulo Articulo |
| author |
Tinetti, Fernando Gustavo |
| author_facet |
Tinetti, Fernando Gustavo |
| author_sort |
Tinetti, Fernando Gustavo |
| title |
Performance of scientific processing in networks of workstations: matrix multiplication example |
| title_short |
Performance of scientific processing in networks of workstations: matrix multiplication example |
| title_full |
Performance of scientific processing in networks of workstations: matrix multiplication example |
| title_fullStr |
Performance of scientific processing in networks of workstations: matrix multiplication example |
| title_full_unstemmed |
Performance of scientific processing in networks of workstations: matrix multiplication example |
| title_sort |
performance of scientific processing in networks of workstations: matrix multiplication example |
| publishDate |
2001 |
| url |
http://sedici.unlp.edu.ar/handle/10915/9410 http://journal.info.unlp.edu.ar/wp-content/uploads/pap7.pdf |
| work_keys_str_mv |
AT tinettifernandogustavo performanceofscientificprocessinginnetworksofworkstationsmatrixmultiplicationexample |
| bdutipo_str |
Repositorios |
| _version_ |
1764820492130189312 |