Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
We present a modular approach to realizing fine-grained adaptation of program behavior in a parallel environment. Using a compositional framework based on function call intercepti...
Pilsung Kang 0002, Naresh K. C. Selvarasu, Naren R...
Grid applications that use a considerable number of processors for their computations need effective predictions of the expected computation times on the different nodes. Currentl...
This paper presents the design and evaluation of an adaptive, system sensitive partitioning and load balancing framework for distributed structured adaptive mesh refinement applic...
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...