TACO (Topologies and Collections) is a template-based object platform that strongly supports distributed data-parallel programming by means of distributed object groups and collective operations. This paper introduces TACO'S basic concepts and provides a performance analysis for collective operations on various cluster architectures with several different networks
Abstract—On many-core processors that do not provide hard-ware cache coherence, using shared memory ...
Abstract. Distributed Objects (DO) as de ned by OMG's CORBA ar-chitecture provide a model for o...
A lot of sophisticated techniques and platforms have been proposed to build distributed object syste...
TACO (Topologies and Collections) is a template based object platform for cluster architectures, tha...
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed d...
: This paper describes the collective object, a new abstraction providing support for collective op...
A powerful programming environment for developing distributed applications relies on its ability to ...
jon @ rst.gmd.de Abstract. Collective operations on multiple distributed objects are a powerful mean...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Abstract: The computational and compositional features are very important while constructing paralle...
In parallel object-oriented languages it is hard to elegantly express efficient data-parallel operat...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Parallel processing is based on utilizing a group of processors to efficiently solve large problems ...
The design of complex distributed objects applications such as transactional systems (e.g. nested tr...
In this paper we examine the requirements of large scale cooperative applications, namely those alte...
Abstract—On many-core processors that do not provide hard-ware cache coherence, using shared memory ...
Abstract. Distributed Objects (DO) as de ned by OMG's CORBA ar-chitecture provide a model for o...
A lot of sophisticated techniques and platforms have been proposed to build distributed object syste...
TACO (Topologies and Collections) is a template based object platform for cluster architectures, tha...
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed d...
: This paper describes the collective object, a new abstraction providing support for collective op...
A powerful programming environment for developing distributed applications relies on its ability to ...
jon @ rst.gmd.de Abstract. Collective operations on multiple distributed objects are a powerful mean...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Abstract: The computational and compositional features are very important while constructing paralle...
In parallel object-oriented languages it is hard to elegantly express efficient data-parallel operat...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Parallel processing is based on utilizing a group of processors to efficiently solve large problems ...
The design of complex distributed objects applications such as transactional systems (e.g. nested tr...
In this paper we examine the requirements of large scale cooperative applications, namely those alte...
Abstract—On many-core processors that do not provide hard-ware cache coherence, using shared memory ...
Abstract. Distributed Objects (DO) as de ned by OMG's CORBA ar-chitecture provide a model for o...
A lot of sophisticated techniques and platforms have been proposed to build distributed object syste...
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