Writing parallel programs for distributed multi-user computing environments is a difficult task. The Distributed object migration environment (Dome) addresses three major issues of parallel computing in an architecture independent manner: ease of programming, dynamic load balancing, and fault tolerance. Dome programmers, with modest effort, can write parallel programs that are automatically distributed over a heterogeneous network, dynamically load balanced as the program runs, and able to survive compute node and network failures. This paper provides the motivation for and an overview of Dome, including a preliminary performance evaluation of dynamic load balancing for distributed vectors. Dome programs are shorter and easier to write than...
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded p...
Distributed heterogeneous systems and large clusters provide a great opportunity and, at the same ti...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...
) Paul A. Gray and Vaidy S. Sunderam Dept. of Mathematics and Computer Science Emory University, Atl...
Parallel computing on interconnected workstations is becoming a viable and attractive proposition du...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Migration is a fundamental mechanism for achieving load balancing and locality of references in para...
Abstract: The computational and compositional features are very important while constructing paralle...
Advances in computing and networking infrastructure have enabled an increasing number of application...
This paper describes Stardust, an environment for parallel programming on networks of heterogeneous ...
As workstation and networking technologies advance, the aggregated computing power of a network of w...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
. In this paper, we describe experiments comparing the communication times for a number of different...
We present a contribution on dynamic load balancing for distributed and parallel object-oriented app...
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded p...
Distributed heterogeneous systems and large clusters provide a great opportunity and, at the same ti...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...
) Paul A. Gray and Vaidy S. Sunderam Dept. of Mathematics and Computer Science Emory University, Atl...
Parallel computing on interconnected workstations is becoming a viable and attractive proposition du...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Migration is a fundamental mechanism for achieving load balancing and locality of references in para...
Abstract: The computational and compositional features are very important while constructing paralle...
Advances in computing and networking infrastructure have enabled an increasing number of application...
This paper describes Stardust, an environment for parallel programming on networks of heterogeneous ...
As workstation and networking technologies advance, the aggregated computing power of a network of w...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
. In this paper, we describe experiments comparing the communication times for a number of different...
We present a contribution on dynamic load balancing for distributed and parallel object-oriented app...
Dynamically partitioning of adaptive applications and migration of excess workload from overloaded p...
Distributed heterogeneous systems and large clusters provide a great opportunity and, at the same ti...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...