We describe the distributed object-oriented threads system (DOTS), a programming environment designed to support object-oriented fork/join parallel programming in a heterogeneous distributed environment. A mixed network of Windows NT PCs and UNIX workstations is transformed by DOTS into a homogeneous pool of anonymous compute servers forming together a multicomputer. DOTS is a complete redesign of the distributed threads system (DTS) using the object-oriented paradigm both in its internal implementation and in the programming paradigm it supports. It has been used for the parallelization of applications in the field of computer algebra and in the field of computer graphics. We also give a brief account of applications in the domain of symbo...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
International audienceScientific programmers are eager to take advantage of the computational power ...
Research on programming distributed memory multiprocessors has resulted in a well-understood program...
Abstract. We describe the design and implementation of the Distributed Object-Oriented Threads Syste...
This paper deals with high performance computing in heterogeneous clusters using the Distributed Obj...
We describe the design and implementation of the Distributed Threads System (DTS), a programming env...
Diese Arbeit behandelt die Realisierung und die Anwendung der Systemumgebung DOTS (Distributed Obje...
This technical report describes the integration of the Distribution Subsystem (DSS) to the programmi...
This paper presents the first part of a project to create a system environment for distributed funct...
This report presents the design of a distributed parallel object system (DPOS) and its implementatio...
This thesis presents a distributed object model, MOIDE (Multithreading Object-oriented Infrastructur...
Threads − A System for the Support of Concurrent Programming We describe a system, Threads, whose pu...
Data- and task-parallelism are two important parallel programming models. Object-oriented paradigm i...
As workstation and networking technologies advance, the aggregated computing power of a network of w...
Résumé du Workshop : Proceedings of the International Workshop on Parallel and Distributed Computing...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
International audienceScientific programmers are eager to take advantage of the computational power ...
Research on programming distributed memory multiprocessors has resulted in a well-understood program...
Abstract. We describe the design and implementation of the Distributed Object-Oriented Threads Syste...
This paper deals with high performance computing in heterogeneous clusters using the Distributed Obj...
We describe the design and implementation of the Distributed Threads System (DTS), a programming env...
Diese Arbeit behandelt die Realisierung und die Anwendung der Systemumgebung DOTS (Distributed Obje...
This technical report describes the integration of the Distribution Subsystem (DSS) to the programmi...
This paper presents the first part of a project to create a system environment for distributed funct...
This report presents the design of a distributed parallel object system (DPOS) and its implementatio...
This thesis presents a distributed object model, MOIDE (Multithreading Object-oriented Infrastructur...
Threads − A System for the Support of Concurrent Programming We describe a system, Threads, whose pu...
Data- and task-parallelism are two important parallel programming models. Object-oriented paradigm i...
As workstation and networking technologies advance, the aggregated computing power of a network of w...
Résumé du Workshop : Proceedings of the International Workshop on Parallel and Distributed Computing...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
International audienceScientific programmers are eager to take advantage of the computational power ...
Research on programming distributed memory multiprocessors has resulted in a well-understood program...