Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
The execution of an application on a high performance system requires parameters concerning the problem in hand, and those that determine the system mapping, to be specified by a ...
Darren J. Kerbyson, Efstathios Papaefstathiou, Gra...
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Abstract. Computer vision is a challenging data intensive application. Currently, superscalar architectures dominate the processor marketplace. As more transistors become available...
Yongwha Chung, K. Park, W. Hahn, Neungsoo Park, Vi...
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...