We present a distributed framework that enables real-time streaming and visualization of data generated by large remote simulations. We address issues arising from distributed cli...
Valerio Pascucci, Daniel E. Laney, Ray J. Frank, F...
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
We present strategies for parallelising ray tracing based on 5D adaptive subdivision. Our goals are to obtain good speed-up and to efficiently balance the load between the process...
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...