Implementing GPU-based graph processing algorithms us-
WolfPath : accelerating iterative traversing based graph processing algorithms on GPU
... communications, implementing iterative graph computation algorithm on GPU is much more challenging than on ...let us first consider how the iterative computation is implemented on ...
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Developing graph based co scheduling algorithms with GPU acceleration
... state-of-the-art GPU-based graph processing systems, the time spent in reading the graph from hard disks to memory and in constructing the data structure in memory constitute a big ...
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New Approach for Graph Algorithms on GPU using CUDA
... Large Graph algorithms like Breadth-First Search (BFS), Depth-First Search(DFS), shortest path algorithms ...these algorithms in large graphs having millions of edges and sequential ...
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Graph Signal Processing: Reconstruction Algorithms
... Signal Processing Overview 2 ...represent graph signals, it is necessary to take into account for the intrinsic geometric structure of the underlying ...the graph on which the signal is defined. ...
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Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model
... recent graph processing have focused on modeling the dependencies between ...many graph parallel abstractions, like Pregel and GraphLab, naturally express computational ...important graph ...
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GPU-BASED ALGORITHMS FOR PROCESSING THE K NEAREST-NEIGHBOR QUERY ON DISK-RESIDENT DATA
... a GPU thread The GPU starts the k-NN plane sweep calculation simultaneously for all threads If the number of query points is bigger than the total available GPU threads, then the execution progresses ...
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Proceedings of the Second Workshop on TextGraphs: Graph Based Algorithms for Natural Language Processing
... of graph theory into Natural Language ...a graph and relations between them can be represented as ...that graph- based representations of linguistic units as diverse as words, sentences and ...
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All-Pairs Shortest Path Algorithms for Planar Graph for GPU-Accelerated Clusters
... Graphics Processing Units ...to graph- ics applications, namely high data parallelism, high computational intensity, and data ...optimal graph algorithms exhibit few of these properties. Such ...
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Static and incremental overlapping clustering algorithms for large collections processing in GPU
... clustering algorithms that have shown, in the task of documents clustering, the better tradeoff between quality of the clusters and efficiency, among the existing overlapping clustering ...aforementioned ...
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Review of Graph Based Scheduling Algorithms
... the processing speed of uniprocessor computer can’t be increased beyond a limit (few million floating point operations per second) because of the physical limitations imposed by the electrical properties of ...
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Algorithms for VLSI Circuit Optimization and GPU-Based Parallelization
... wire-delays based on placement is sensitive to the placement of the subject graph and considering only center of gravity placements for the matches, as opposed to all possible placements in simultaneous ...
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High-Performance Linear Algebra-based Graph Framework on the GPU
... other graph libraries and hardwired GPU ...traversal-based algorithms (BFS and SSSP) is better on the seven scale-free graphs (soc-orkut, soc-lj, h09, i04, and rmats) than on the small-degree ...
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CGMgraph/CGMlib: Implementing and Testing CGM Graph Algorithms on PC Clusters
... parallel graph methods for PC clusters based on CGM algo- ...various graph prob- ...bipartite graph detection are, to our knowledge, the first efficient implementations for PC ...
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Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph based Algorithms for Natural Language Processing
... of graph theory into Natural Language ...a graph and relations between them can be represented as ...that graph- based representations of linguistic units as diverse as words, sentences and ...
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Graph-based processing of macromolecular information
... The second suite of ToMoCoMD-CARDD consists in a collection of molecular descriptor calculating modules that is using relation frequency matrices, molecular fingerprints and a pool of the most relevant indices reported ...
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Efficient Transactional-Memory-based Implementation of Morph Algorithms on GPU
... Morph algorithms [2] are a type of irregular algorithms that change the underlying graph data structure in unpredictable ways, making them difficult to exploit memory coalescing and mitigate control ...
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Graph Based Meaning Representations: Design and Processing
... 3 Processing Semantic Graphs The creation of large-scale, high-quality seman- tic graph banks has driven research on semantic parsing, where a system is trained to map from natural-language sentences to ...
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GPU-based nonlocal filtering for large scale SAR processing
... All threads of a compute unit share access to the global and local memory, where the access to local memory is much faster and access to the global memory should be coalesced, meaning the threads access consecutive ...
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CiteSeerX — Graph-based algorithms for Boolean function manipulation
... a graph of 2n+2 vertices, while the function x 1 ⋅x n+1 + ⋅ ⋅ ⋅ + x n ⋅x 2n requires 2 n+1 ...function graph can be thought of as such a processor, with the set of vertices having index i describing the ...
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Two graph based algorithms for state of the art WSD
... level). Table 2 also shows the results of three super- vised systems. These results (and those of the other unsupervised systems in the table) where ob- tained from the Senseval website, and the only processing we ...
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