PPT-Comparing Big Data and Simulation Applications and

Implications for Software Environments   eScience in the Cloud 2014 Redmond WA April 30 2014 Geoffrey Fox gcfindianaedu httpwwwinfomallorg School of Informatics and Computing. in the Cloud. C. Dennis Pegden, CEO. Simio LLC. Cloud computing. Avoid infrastructure costs.. Focus on value added activities.. Shorten development time.. Less maintenance, easier to manage.. Scale resources to changing demand.. Supervisor: Sigurd . Skogestad. Co-supervisor: . Esmaeil. . Jahansahi. . Simulation. . of. Slug . flow. . using. . LedaFlow. Mahnaz. . Esmaeilpour. Slug . flow. in S-. shaped. risers . Comparing acoustic signal and pressure (step test, frequency domain). Graphics. CMSC 435/634. 1. Graphics Areas. “. Core. ”. graphics areas. Modeling. Rendering. Animation. Other areas which draw on computer graphics. User Interaction. Virtual Reality. Visualization. What can we compare?. 3D shapes (Scalar. coupling constants, a.k.a. J-values, nuclear . Overhauser. effects. ). Atomic motions (RMSF, Order Parameters). NOE intensities may be used to estimate the distance between hydrogen atoms, separated by less than 4 Å . Timothy Costigan. Kyoungah See. 1. Outline. Motivation of Topic. Review Practice in Therapeutic Areas. Issues in Implementation . Type 1 error inflation. Transformations. Estimation of Variance. Simulation Study. Andy Wang. CIS 5930-03. Computer Systems. Performance Analysis. Analysis of Simulation Results. Check for correctness of implementation. Model verification. Check for representativeness of assumptions. Matthew He for McGill NMR/EPR Facility. Goals. 1. View and interpret data as spectra. 2. Simulate spectrum with given parameters. 3. Fitting simulations to experimental data. EPR Data . How to get there. -Christian Jones. Primary SAR Modes. Stripmap. SAR. Strip of terrain data. Useful when mapping terrain or large area. Will be primary focus of this presentation, though the techniques used can be applied to any of these modes. Implications . for . Software Environments.  . eScience. in the Cloud . 2014. Redmond WA. April 30 2014. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Panagiotis Spentzouris, APC & CD/ADSS. Accelerator Modeling Activity Synergies. Scientific Computing Briefing - August 25, 2009. 2. Computational Accelerator Physics at FNAL: CD/APC resources. Effort concentrated in CD/ADSS, but work closely with AD and TD personnel, in the context of the APC, to develop accelerator science applications. 1. Graphics Areas. “. Core. ”. graphics areas. Modeling. Rendering. Animation. Other areas which draw on computer graphics. User Interaction. Virtual Reality. Visualization. Image Processing. 3D Scanning. Chapter 9. Review of Simulation-Based Tests. One proportion: . We created a null distribution by flipping a coin, rolling a die, or some computer simulation. . We then found where our sample proportion was in this null distribution.. in Monte Carlo simulation. Matej . Batic, . Gabriela Hoff, Paolo Saracco. Collaborators: . Politecnico Milano, Fondazione Bruno Kessler, MPI HLL, Univ. Darmstadt, XFEL, UC Berkeley, State Univ. Rio de Janeiro, Hanyang Univ. (Korea) . Giovanna Giardino, Pierre . Ferruit. , Jacopo . Chevallard. , Camilla . Pacifici. ESAC JWST Workshop. NIRSpec. simulations. Ingredients of the simulation. Simulation procedure . Outline of the data package.