37 1. ~1 PB/year 1. Advanced 1. MPI, OpenMP, 1. -- -- -- DOE becoming 7 analysis and C, C++, F90, Interpretation Extreme PB/year of visualization FFTW, viz of results Data from observational techniques and packages, Python, using data capabilities to FFTW, numpy, advanced Sky Survey support Boost, OpenMP, visualization interpretation of ScaLAPCK, PSQL techniques results from and MySQL and detailed databases, Eigen, capabilities simulations cfitsio, astrometry.net, and Minuit2 2. Methods/ tools to address supercomputer I/O subsystem limitations 38 1. 20 TB of 1. Analysis on both 1. Standard -- -- 1. Links between -- Large Survey data/day the simulation and astrophysics remote telescopes Data for observational data reduction and central analysis Cosmology simultaneously software as well sites 2. Techniques for as Perl/Python handling Cholesky wrapper scripts decomposition for 2. Oracle RDBMS, thousands of Postgres psql, simulations with GPFS and Lustre matrices of order 1 file systems and million on a side tape archives 3. Parallel image storage 39 1. Real-time data 1. Experimental 1. Legacy 1. Histograms 1. Data 1. Data quality on -- Particle from accelerator data from ALICE, computing and model fits protection complex apparatus Physics at and analysis ATLAS, CMS, LHB infrastructure (visual) LHC instruments 2. Histograms, (computing 2. scatter-plots with nodes)
37 DOE Extreme Data from Sky Survey 1. ~1 PB/year becoming 7 PB/year of observational data 1. Advanced analysis and visualization techniques and capabilities to support interpretation of results from detailed simulations 1. MPI, OpenMP, C, C++, F90, FFTW, viz packages, Python, FFTW, numpy, Boost, OpenMP, ScaLAPCK, PSQL and MySQL databases, Eigen, cfitsio, astrometry.net, and Minuit2 2. Methods/ tools to address supercomputer I/O subsystem limitations 1. Interpretation of results using advanced visualization techniques and capabilities -- -- -- 38 Large Survey Data for Cosmology 1. 20 TB of data/day 1. Analysis on both the simulation and observational data simultaneously 2. Techniques for handling Cholesky decomposition for thousands of simulations with matrices of order 1 million on a side 1. Standard astrophysics reduction software as well as Perl/Python wrapper scripts 2. Oracle RDBMS, Postgres psql, GPFS and Lustre file systems and tape archives 3. Parallel image storage -- -- 1. Links between remote telescopes and central analysis sites -- 39 Particle Physics at LHC 1. Real-time data from accelerator and analysis instruments 2. 1. Experimental data from ALICE, ATLAS, CMS, LHB 2. Histograms, scatter-plots with 1. Legacy computing infrastructure (computing nodes) 1. Histograms and model fits (visual) 1. Data protection 1. Data quality on complex apparatus --