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INFOMR Project

INFOMR Project. Dafne van Kuppevelt ● Vikram Doshi ● Seçkin Savaşçı. Development Review. Heat Kernel Signature. C#  develop faster  use .NET framework’s abilities  our experience on C# and other similar languages(java) x86 architecture Visual Studio IDE

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INFOMR Project

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  1. INFOMR Project Dafne van Kuppevelt ● VikramDoshi● SeçkinSavaşçı Development Review

  2. Heat Kernel Signature

  3. C# •  develop faster •  use .NET framework’s abilities •  our experience on C# and other similar languages(java) • x86 architecture • Visual Studio IDE • Google Code for project hosting •  Easy to start •  Complete package for project management •  Support git, svn & mercurial • http://code.google.com/p/infomr-group-x/ Before Development

  4. Getting Laplacian Matrices form Off Files • L = D – A •  Storage Problem Initial Parsing 45000*44999/2*1= 120 MB 450002 * 32 = 7.54 GB • ~64X Compression • Computational Overhead

  5. Storage Problem( continued) Initial Parsing • Time Problem

  6. Getting Eigen Values & Vectors from Laplacian Matrices Initial Parsing • We tried to implement our own eigen decomposer •  FAILED • We started to search for a suitable library • Our needs were: • - Structure for storing sparse symmetric matrices • - Eigen decomposer method that is specialized • for sparse symmetric matrices • partially FAILED •  We switched to trial & error for finding • a good library, our goal was now speed and good • memory usage.

  7. Experiment results with 2000 vertex model : Initial Parsing • DotNumerics • Structure for storing Symmetric matrices • Eigen Decomposer for Symmetric matrices • ~40 largest models are out of project scope due to • time and memory problems

  8. Time and Memory Problems • Largest model will take more than 250 hours to parse • For the largest model we must have ~16 GB memory space • because DotNumerics use Double precision for storing values • Overview of running on current architecture (x86): • 2GB process dedicated memory • /largeaddressaware 3 GB • We cannot make injections due to LAPACK calls • It is impossible to reach beyond 3 GB address space on x86, theoretically 4 GB • Curious Cat? Initial Parsing

  9. Prototype Initial Parsing Result : Eigen Decomposition time for 2000 vertex model? Guess?

  10. Prototype Results Initial Parsing • We didn’t change to develop on this prototype, because : • Parsing the largest one is still infeasible • Not all of us have x64 architecture

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