A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
Stephen Langella, Shannon Hastings, Scott Oster, T...
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Increasing hardware performance of desktop computers accounts for a low-cost computing potential that is waiting to be efficiently used. However, the complexity of installation a...
In this work we present the results of a project aimed at assembling an hybrid massively parallel machine, the PQE1 prototype, devoted to the simulation of complex physical models...
Paolo Palazzari, Lidia Arcipiani, Massimo Celino, ...
High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...