PPT-An Efficient Parallel Solver for SDD Linear Systems

Richard Peng MIT Joint work with Dan Spielman Yale Efficient Parallel Solvers for SDD Linear Systems Richard Peng MIT Work in progress with Dehua Cheng USC Yu Cheng USC Yintat. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr Multiphysics. HPC Applications . CS267 . – Spring 2013. John Shalf. With contributions from: . Gabrielle Allen, Tom . Goodale. , Eric . Schnetter. , Ed Seidel (AEI/LSU). Phil . Colella. , Brian Van . Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of . Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. BJ Furman. 14NOV2011. The Plan for Today. Solver. Review. Non-linear regression analysis. Aerospace engineering computation using a spreadsheet. Macros and VBA programming. Learning Objectives. Use Solver to solve mathematical equations. Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. P. Azzarello, E. . Bozzo. , F. . Cadoux. , . Y. Favre, M. Pohl. LOFT. . ESA M-class mission candidate. Science: X-ray transients (BH etc.). Currently in assessment phase. Study lead: SRON (NL), CAP Genève. Dr. Ron Lembke. Formulating in Excel. Write the LP out on paper, with all constraints and the objective function.. Decide on cells to represent variables.. Enter coefficients of each variable in each constraint in a block of cells.. Richard Peng. M.I.T.. Joint work with Dan Spielman (Yale). Efficient Parallel Solvers for SDD Linear Systems. Richard Peng. M.I.T.. Work in progress with . Dehua. Cheng (USC),. Yu Cheng (USC), . Yintat. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. in SDD-1. Philip A. Bernstein. Microsoft Research. SDD-1. A DARPA-funded research project at Computer Corporation of America (Cambridge, MA) to build a distributed database system. Started in the fall of 1976. Execution Engines. Mihai Budiu, Daniel Delling, Renato Werneck. Microsoft Research - Silicon Valley. IEEE International Parallel & . Distributed Processing Symposium. IPDPS 2011. DDPEEs. Execution. Contents. Problem Statement. Motivation. Types . of . Algorithms. Sparse . Matrices. Methods to solve Sparse Matrices. Problem Statement. Problem Statement. The . solution . of . the linear system is the values of the unknown vector . . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. FEKOBy offering a selection of different solvers FEKO users can choose the method that is most suitable to the problem that they are trying to solve or use more than one solver for cross validation pu