To prepare for future peta- or exa-scale computing, it is important to gain a good understanding on what impacts a hierarchical storage system would have on the performance of data...
Weikuan Yu, Sarp Oral, Shane Canon, Jeffrey S. Vet...
The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will larg...
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
In this paper, we investigate the data access patterns and file I/O behaviors of a production cosmology application that uses the adaptive mesh refinement (AMR) technique for it...
Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Vale...
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...