We study and improve the OBF technique, which was used in distributed algorithms for the decomposi- tion of a partitioned graph into its strongly connected components. In particular, we introduce a recursive variant of OBF and experimentally evaluate several different implementations of it that vary in the degree of parallelism. For the evaluation we used synthetic graphs with a few large components and graphs with many small components. We also experimented with graphs that arise as state spaces in real model check- ing applications. The experimental results are compared with that of other successful SCC decomposition techniques
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core d...
Most graph decomposition procedures seek to partition a graph into disjoint sets of vertices. Motiva...
Abstract. We present new efficient deterministic and randomized distributed algorithms for decomposi...
AbstractWe study and improve the OBF technique [Barnat, J. and P.Moravec, Parallel algorithms for fi...
htmlabstractWe study and improve the OBF technique [Barnat, J. and P.Moravec, Parallel algorithms fo...
The main advantages of Tarjan's strongly connected component (SCC) algorithm are its linear time com...
The main advantages of Tarjan's strongly connected component (SCC) algorithm are its linear time com...
This paper presents a novel meta-algorithm, Partition-Merge (PM), which takes existing centralized a...
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core d...
We explore a parallel SCC-decomposition algorithm based on a concurrent Union-Find data structure. I...
This paper presents a novel meta algorithm, Partition-Merge (PM), which takes existing central-ized ...
A typical verification challenge for the GRID community is presented. The concrete challenge is to i...
The problem of decomposing a directed graph into strongly connected components (SCCs) is a fundament...
This article presents parallel algorithms for component decomposition of graph structures on general...
Network decomposition is a central tool in distributed graph algorithms. We present two improvements...
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core d...
Most graph decomposition procedures seek to partition a graph into disjoint sets of vertices. Motiva...
Abstract. We present new efficient deterministic and randomized distributed algorithms for decomposi...
AbstractWe study and improve the OBF technique [Barnat, J. and P.Moravec, Parallel algorithms for fi...
htmlabstractWe study and improve the OBF technique [Barnat, J. and P.Moravec, Parallel algorithms fo...
The main advantages of Tarjan's strongly connected component (SCC) algorithm are its linear time com...
The main advantages of Tarjan's strongly connected component (SCC) algorithm are its linear time com...
This paper presents a novel meta-algorithm, Partition-Merge (PM), which takes existing centralized a...
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core d...
We explore a parallel SCC-decomposition algorithm based on a concurrent Union-Find data structure. I...
This paper presents a novel meta algorithm, Partition-Merge (PM), which takes existing central-ized ...
A typical verification challenge for the GRID community is presented. The concrete challenge is to i...
The problem of decomposing a directed graph into strongly connected components (SCCs) is a fundament...
This article presents parallel algorithms for component decomposition of graph structures on general...
Network decomposition is a central tool in distributed graph algorithms. We present two improvements...
Among the novel metrics used to study the relative importance of nodes in complex networks, k-core d...
Most graph decomposition procedures seek to partition a graph into disjoint sets of vertices. Motiva...
Abstract. We present new efficient deterministic and randomized distributed algorithms for decomposi...