Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
Setting up generic and fully transparent distributed services for clusters implies complex and tedious kernel developments. More flexible approaches such as user-space libraries ar...
Adrien Lebre, Renaud Lottiaux, Erich Focht, Christ...
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Thread migration is one approach to remote memory accesses on distributed memory parallel computers. In thread migration, threads of control migrate between processors to access d...
We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce a 'useful' stream of up...
Vibhore Kumar, Brian F. Cooper, Zhongtang Cai, Gre...