This paper presents a high-level approach for assessing the performance behavior of complex scientific applications running on a high-performance system through simulation. The pr...
Thomas Fahringer, Nicola Mazzocca, Massimiliano Ra...
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
During the last few years, the concepts of cluster computing and heterogeneous networked systems have received increasing interest. The popularity of using Java for developing par...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...