. This paper describes the management of heterogeneity in Stardust, an environment for parallel programming above networks of heterogeneous machines, which can include distributed memory multicomputers and networks of workstations. Applications using Stardust can communicate both through message passing and distributed shared memory. Stardust is currently implemented on an heterogeneous system including an Intel Paragon running Mach/OSF1 and an ATM network of Pentiums running Chorus/classiX. 1 Introduction The proliferation of inexpensive and powerful workstations has continued to increase at a rapid rate in the last few years. This increase of machine performance is likely to continue for several years, with faster processors and multipro...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
In this thesis, a demostration of the heterogeneous use of two programming paradigms for heterogeneo...
Heterogeneously distributed and parallel computing environments are highly dependent on hardware, da...
This paper describes Stardust, an environment for parallel programming on networks of heterogeneous ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
This paper 1 describes a system that facilitates a competitive environment for parallel applicatio...
Heterogeneity is becoming quite common in distributed parallel computing systems, both in processor ...
Heterogeneous cluster environments are becoming an increasingly popular platform for executing paral...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
) Paul A. Gray and Vaidy S. Sunderam Dept. of Mathematics and Computer Science Emory University, Atl...
The computing and communication resources of high performance computing systems are becoming heterog...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
The cost/performance magnitude relation of networks of workstations has been perpetually rising. Thi...
With the variety of computer architectures available today, it often is difficult to determine which...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
In this thesis, a demostration of the heterogeneous use of two programming paradigms for heterogeneo...
Heterogeneously distributed and parallel computing environments are highly dependent on hardware, da...
This paper describes Stardust, an environment for parallel programming on networks of heterogeneous ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
This paper 1 describes a system that facilitates a competitive environment for parallel applicatio...
Heterogeneity is becoming quite common in distributed parallel computing systems, both in processor ...
Heterogeneous cluster environments are becoming an increasingly popular platform for executing paral...
This paper presents techniques for dynamic load balancing in heterogeneous computing environments. T...
) Paul A. Gray and Vaidy S. Sunderam Dept. of Mathematics and Computer Science Emory University, Atl...
The computing and communication resources of high performance computing systems are becoming heterog...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
The cost/performance magnitude relation of networks of workstations has been perpetually rising. Thi...
With the variety of computer architectures available today, it often is difficult to determine which...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
In this thesis, a demostration of the heterogeneous use of two programming paradigms for heterogeneo...
Heterogeneously distributed and parallel computing environments are highly dependent on hardware, da...