During recent years a large number of parallel routines and libraries have been developed. These routines have been conceived for homogeneous systems. Thanks to the evolution of technology, now it is quite usual to have heterogeneous systems. These routines and libraries need to be adapted to the new environment. There are at least two options. The routines could be rewritten, but this would be...

The question of a phase transition in exiting the Planck epoch of the early universe is addressed. An order parameter is proposed to help decide the issue, and estimates are made concerning its behavior. Our analysis is suggestive that a phase transition occurred.

A heterogeneous computing (HC) system is composed of a suite of geographically distributed high-performance machines interconnected by a high-speed network, thereby providing high-speed execution of computationally intensive applications with diverse demands. In HC systems, however, there is a possibility of machine and network failures and this can have an adverse impact on applications runnin...

In this paper, an efficient, run-time, statistical scheme for estimating the execution time of a task is presented, in order to facilitate run-time matching and scheduling in a distributed heterogeneous computing environment. This scheme is based upon a nonparametric regression technique, where the execution time estimate for a task is computed from past observations. Furthermore, this techniqu...

The focus of this invited keynote paper (to represented by H. J. Siegel) is mixed-machine heterogeneous computing, where a suite of different kinds of high-performance machines are interconnected by high-speed links. Such a system can be orchestrated to perform an application whose subtaslw have diverse execution requirements. $ubtasks are assigned to and executed on the machines that will resu...

In a heterogeneous computing (HC) environment consisting of different types of machines, an application program is decomposed into subtasks, each of which is computationally homogeneous. The goal is to execute subtasks on the machines in such a way that the total program execution time is minimized. A mathematical framework is presented that models the matching of subtasks to machines, scheduli...

High Speed computing meets ever increasing real-time computational demands through the leveraging of flexibility and parallelism. The flexibility is achieved when computing platform designed with heterogeneous resources to support multifarious tasks of an application where as task scheduling brings parallel processing. The efficient task scheduling is critical to obtain optimized performance in...

The focus of this invited keynote paper (to be presented by H. J. Siegel) is mixed-machine heterogeneous computing, where a suite of diierent kinds of high-performance machines are interconnected by high-speed links. Such a system can be orchestrated to perform an application whose subtasks have diverse execution requirements. Subtasks are assigned to and executed on the machines that will resu...