article · SHILAP Revista de lepidopterología · 2011

Scalability of Parallel Scientific Applications on the Cloud

Satish Narayana Srirama, Oleg Batrashev, Pelle Jakovits, Eero Vainikko

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Abstract

Cloud computing, with its promise of virtually infinite resources, seems to suit well in solving resource greedy scientific computing problems. To study the effects of moving parallel scientific applications onto the cloud, we deployed several benchmark applications like matrix–vector operations and NAS parallel benchmarks, and DOUG (Domain decomposition On Unstructured Grids) on the cloud. DOUG is an open source software package for parallel iterative solution of very large sparse systems of linear equations. The detailed analysis of DOUG on the cloud showed that parallel applications benefit a lot and scale reasonable on the cloud. We could also observe the limitations of the cloud and its comparison with cluster in terms of performance. However, for efficiently running the scientific applications on the cloud infrastructure, the applications must be reduced to frameworks that can successfully exploit the cloud resources, like the MapReduce framework. Several iterative and embarrassingly parallel algorithms are reduced to the MapReduce model and their performance is measured and analyzed. The analysis showed that Hadoop MapReduce has significant problems with iterative methods, while it suits well for embarrassingly parallel algorithms. Scientific computing often uses iterative methods to solve large problems. Thus, for scientific computing on the cloud, this paper raises the necessity for better frameworks or optimizations for MapReduce.

Cite this paper

APA 7

Srirama, S. N., Batrashev, O., Jakovits, P., & Vainikko, E. (2011). Scalability of Parallel Scientific Applications on the Cloud. SHILAP Revista de lepidopterología. https://doi.org/10.3233/spr-2011-0320

MLA 9

Srirama, Satish Narayana, et al. “Scalability of Parallel Scientific Applications on the Cloud.” SHILAP Revista de lepidopterología, 2011, https://doi.org/10.3233/spr-2011-0320.

Chicago

Srirama, Satish Narayana, Oleg Batrashev, Pelle Jakovits, and Eero Vainikko. 2011. “Scalability of Parallel Scientific Applications on the Cloud.” SHILAP Revista de lepidopterología. https://doi.org/10.3233/spr-2011-0320.

Harvard

Srirama, S.N. et al. (2011) ‘Scalability of Parallel Scientific Applications on the Cloud’, SHILAP Revista de lepidopterología. Available at: https://doi.org/10.3233/spr-2011-0320.

BibTeX

@article{srirama2011scalability,
  title = {{Scalability of Parallel Scientific Applications on the Cloud}},
  author = {Srirama, Satish Narayana and Batrashev, Oleg and Jakovits, Pelle and Vainikko, Eero},
  journal = {SHILAP Revista de lepidopterología},
  year = {2011},
  doi = {10.3233/spr-2011-0320}
}

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