Abstract
This paper presents the results obtained with an extension of the HPC-ICTM model for grid computing. The HPC-ICTM is a multi-layered interval tessellation-based model for the categorization of geographic regions for high performance computing. The ICTM model is executed as a Bag-of-Tasks on the OurGrid environment. For each layer, the categorizer process is applied separately, without communication between the layers. An analysis of the performance of the model is presented. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Silva, R. K. S., De Aguiar, M. S., De Rose, C. A. F., & Dimuro, G. P. (2007). Extending the HPC-ICTM geographical categorization model for grid computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 850–859). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_102
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
