High speed bulk data transfer is an important part of many data-intensive scientific applications. This paper describes an aggressive bulk data transfer scheme, called Reliable Bl...
Eric He, Jason Leigh, Oliver T. Yu, Thomas A. DeFa...
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication opera...
Recent advances in commodity network interface technology enable scientists and engineers to build clusters of workstations or PCs to execute parallel applications. However, raw-h...
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...