Add to ORKGTACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel pro-cessing by means of reusable topology classes and C++ templates. This paper introduces TACO’s basic abstractions and provides a performance analysis for basic collective operations on various cluster architectures with several dif-ferent networks.
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
This paper discusses the design and implementation of a polymorphic collection library for distribut...
We describe a skeletal parallel programming library which integrates task and data parallel construc...
TACO (Topologies and Collections) is a template-based object platform that strongly supports distrib...
TACO (Topologies and Collections) is a template based object platform for cluster architectures, tha...
Collective operations on distributed data sets foster a high-level data-parallel programming style t...
Abstract—On many-core processors that do not provide hard-ware cache coherence, using shared memory ...
Performing large, intensive or non-trivial computing on array like datastructures is one of the most...
AbstractA framework is presented for designing parallel programming languages whose semantics is fun...
Abstract. T-system is a tool for parallel computing developed at the PSI RAS. The most recent implem...
This electronic version was submitted by the student author. The certified thesis is available in th...
We present a software library \textsc{Stxxl}, that enables practice-oriented experimentation with h...
International audienceThis article presents a framework for algorithmic skeletons that aims at repre...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with hu...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
This paper discusses the design and implementation of a polymorphic collection library for distribut...
We describe a skeletal parallel programming library which integrates task and data parallel construc...
TACO (Topologies and Collections) is a template-based object platform that strongly supports distrib...
TACO (Topologies and Collections) is a template based object platform for cluster architectures, tha...
Collective operations on distributed data sets foster a high-level data-parallel programming style t...
Abstract—On many-core processors that do not provide hard-ware cache coherence, using shared memory ...
Performing large, intensive or non-trivial computing on array like datastructures is one of the most...
AbstractA framework is presented for designing parallel programming languages whose semantics is fun...
Abstract. T-system is a tool for parallel computing developed at the PSI RAS. The most recent implem...
This electronic version was submitted by the student author. The certified thesis is available in th...
We present a software library \textsc{Stxxl}, that enables practice-oriented experimentation with h...
International audienceThis article presents a framework for algorithmic skeletons that aims at repre...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with hu...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
This paper discusses the design and implementation of a polymorphic collection library for distribut...
We describe a skeletal parallel programming library which integrates task and data parallel construc...