The support for multi-threaded applications in current scene graphs is very limited, if it is supported at all. This work presents an approach for a very general multi-threading framework that allows total separation of threads without total replication of data. It also supports extensions to clusters, both for sort-first and sort-last rendering configurations. The described concepts have been implemented in the OpenSG scene graph and are widely and successfully used
This paper investigates the use of a multi-representation of a same graph in order to interactively ...
Graph-based multi-view clustering aiming to obtain a partition of data across multiple views, has re...
. We classify clustering algorithms into sequence-based techniques ---which transform the object net...
One of the main shortcomings of current scene graphs is their inability to support multi-thread safe...
One of the main shortcomings of current scenegraphs is the inability to support multi thread-safe da...
We present a scene graph architecture that features and supports parallelism at multiple levels. Hie...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
This work covers the problems of scene graph systems. Currently used systems like Open Inventor or O...
This work covers the problems of scene graph systems. Currently used systems like Open Inventor or O...
Many classical graph visualization algorithms have already been developed over the past decades. How...
Many classical graph visualization algorithms have already been developed over the past decades. How...
The problem discussed in this thesis is distributed data partitioning and data re-ordering on many-c...
With the explosive growth of multi-source data, multi-view clustering has attracted great attention ...
Abstract. Clustering is a classical data analysis technique that is applied to a wide range of appli...
Today, expensive high-end graphics machines are losing their competitive edge to clusters of inexpen...
This paper investigates the use of a multi-representation of a same graph in order to interactively ...
Graph-based multi-view clustering aiming to obtain a partition of data across multiple views, has re...
. We classify clustering algorithms into sequence-based techniques ---which transform the object net...
One of the main shortcomings of current scene graphs is their inability to support multi-thread safe...
One of the main shortcomings of current scenegraphs is the inability to support multi thread-safe da...
We present a scene graph architecture that features and supports parallelism at multiple levels. Hie...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
This work covers the problems of scene graph systems. Currently used systems like Open Inventor or O...
This work covers the problems of scene graph systems. Currently used systems like Open Inventor or O...
Many classical graph visualization algorithms have already been developed over the past decades. How...
Many classical graph visualization algorithms have already been developed over the past decades. How...
The problem discussed in this thesis is distributed data partitioning and data re-ordering on many-c...
With the explosive growth of multi-source data, multi-view clustering has attracted great attention ...
Abstract. Clustering is a classical data analysis technique that is applied to a wide range of appli...
Today, expensive high-end graphics machines are losing their competitive edge to clusters of inexpen...
This paper investigates the use of a multi-representation of a same graph in order to interactively ...
Graph-based multi-view clustering aiming to obtain a partition of data across multiple views, has re...
. We classify clustering algorithms into sequence-based techniques ---which transform the object net...
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