This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
Web caching has been well accepted as a viable method for saving network bandwidth and reducing user access latency. To provide cache sharing on a large scale, hierarchical web cac...
Wenzhong Li, Kun Wu, Xu Ping, Ye Tao, Sanglu Lu, D...
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
Mixed-parallel applications can take advantage of largescale computing platforms but scheduling them efficiently on such platforms is challenging. In this paper we compare the tw...
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
Nawab Ali, Philip H. Carns, Kamil Iskra, Dries Kim...