TACO (Topologies and Collections) is a template based object platform for cluster architectures, that provides the flavour of distributed data-parallel programming based on distributed object groups. This paper introduces TACO's basic concepts and discusses template based programming techniques to control the behaviour of (collective) method invocations. In particular, the problem of polymorphism. and concurrency control in the context of distributed, parallel computing is addressed
International audienceScientific programmers are eager to take advantage of the computational power ...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
TACO (Topologies and Collections) is a template-based object platform that strongly supports distrib...
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed d...
Data-parallelism is a widely used model for parallel programming. Control structures like parallel D...
In parallel object-oriented languages it is hard to elegantly express efficient data-parallel operat...
: This paper describes the collective object, a new abstraction providing support for collective op...
TSOc is presented as a declarative, object-oriented, concurrent programming language and model. Its ...
This paper aims at classifying and discussing the various ways along which the object paradigm is us...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Several kinds of parallel applications tend to employ regular patterns for communication between and...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
The design of complex distributed objects applications such as transactional systems (e.g. nested tr...
jon @ rst.gmd.de Abstract. Collective operations on multiple distributed objects are a powerful mean...
International audienceScientific programmers are eager to take advantage of the computational power ...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
TACO (Topologies and Collections) is a template-based object platform that strongly supports distrib...
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed d...
Data-parallelism is a widely used model for parallel programming. Control structures like parallel D...
In parallel object-oriented languages it is hard to elegantly express efficient data-parallel operat...
: This paper describes the collective object, a new abstraction providing support for collective op...
TSOc is presented as a declarative, object-oriented, concurrent programming language and model. Its ...
This paper aims at classifying and discussing the various ways along which the object paradigm is us...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Several kinds of parallel applications tend to employ regular patterns for communication between and...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
The design of complex distributed objects applications such as transactional systems (e.g. nested tr...
jon @ rst.gmd.de Abstract. Collective operations on multiple distributed objects are a powerful mean...
International audienceScientific programmers are eager to take advantage of the computational power ...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...