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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems

GraphAnalysis.org: High performance computing for solving large-scale graph problems

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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems | graphanalysis.org Reviews
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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems | graphanalysis.org Reviews

https://graphanalysis.org

GraphAnalysis.org: High performance computing for solving large-scale graph problems

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GraphAnalysis.org: Graph Algorithms Building Blocks (GABB’2014)

http://www.graphanalysis.org/workshop2014.html

Graph Algorithms Building Blocks (GABB’2014). The Basic Linear Algebra Subprograms, introduced over 30 years ago, had a transformative effect on software for linear algebra. With the BLAS, researchers spend less time mapping algorithms onto specific features of hardware platforms and more time on interesting new algorithms. Would it be practical to define an analogous set of basic building blocks for graph algorithms? Please see the GraphBLAS effort at http:/ istc-bigdata.org/GraphBlas/. Linear algebra o...

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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems

http://www.graphanalysis.org/publications.html

Help us expand this page! References to relevant papers. Viral B. Shah, An Interactive System for Combinatorial Scientific Computing with an Emphasis on Programmer Productivity. PhD Thesis, Computer Science, University of California, Santa Barbara, June 2007. J R Gilbert, S. Reinhardt, and V. Shah, An interactive environment to manipulate large graphs. 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. Workshop on Multithreaded Architectures and Applications (MTAAP 2007).

3

GraphAnalysis.org: SIAM CSE13 Minisymposium on Frontiers in Large-Scale Graph Analysis

http://www.graphanalysis.org/workshop2013.html

Frontiers in Large-Scale Graph Analysis (SIAM CSE13 Minisymposium). The Westin Boston Waterfront. 25 February - 1 March 2013. This workshop is co-located with SIAM CSE13. Held 25 February - 1 March 2013, at the Westin Boston Waterfront in Boston, MA. Registration information for CSE13 can be found at here. Wednesday, February 27. 2:00 PM - 4:00 PM. Room: Commonwealth Ballroom B. 2:00-2:25 Applications and Challenges in Large-scale Graph Analysis. David A. Bader. John R. Johnson. Nicholas Arcolano, Edward...

4

GraphAnalysis.org: High Performance Computing for solving large-scale graph problems

http://www.graphanalysis.org/index.html

Is a compendium of resources related to High Performance Computing applied for large-scale graph analysis. We maintain a parallel graph theory benchmark. That solves multiple graph analysis kernels on small-world networks. An early version of the benchmark was part of the DARPA High Productivity Computing Systems (HPCS) Compact Application (SSCA) suite. The benchmark performance. Across current HPC systems can be compared using a single score called TrEPS (Traversed Edges Per Second). August 11, 2015.

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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems

http://www.graphanalysis.org/benchmark/results.html

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Mainframe computer - Wikipedia, the free encyclopedia

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From Wikipedia, the free encyclopedia. For other uses, see Mainframe (disambiguation). An IBM System z9. Colloquially referred to as " big iron. Used primarily by large organizations for critical applications, bulk data processing such as census. Industry and consumer statistics, enterprise resource planning. The term originally referred to the large cabinets called "main frames" that housed the central processing unit. In the case of floating point calculations), and more by:. Or Unisys's XPCL, which su...

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GraphAnalysis.org: High Performance Computing for solving large-scale graph problems

Is a compendium of resources related to High Performance Computing applied for large-scale graph analysis. We maintain a parallel graph theory benchmark. That solves multiple graph analysis kernels on small-world networks. An early version of the benchmark was part of the DARPA High Productivity Computing Systems (HPCS) Compact Application (SSCA) suite. The benchmark performance. Across current HPC systems can be compared using a single score called TrEPS (Traversed Edges Per Second). October 15, 2017.

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