be analyzed in gene callers, real time sequence feature predictors, etc.), Perl/Python wrapper scripts, Linux Cluster scheduling 1. ~0.1 TB per day 1. A wide variety of -- 1. -- -- -- Catalina at present, will the existing Visualization Transient increase by factor astronomical data mechanisms Survey of 100 analysis tools, plus for highly a large number of dimensional custom developed data tools and software parameter programs, some spaces research projects in and of themselves 2. Automated classification with machine learning tools given the very sparse and heterogeneous data, dynamically evolving in time as more data come in, with follow-up decision making reflecting limited follow-up resources 1. ~1 PB/year 1. Advanced 1. MPI, OpenMP, 1. -- -- -- DOE Extreme becoming 7 analysis and C, C++, F90, Interpretation Data from PB/year of visualization FFTW, viz of results
be analyzed in real time gene callers, sequence feature predictors, etc.), Perl/Python wrapper scripts, Linux Cluster scheduling Catalina Transient Survey 1. ~0.1 TB per day at present, will increase by factor of 100 1. A wide variety of the existing astronomical data analysis tools, plus a large number of custom developed tools and software programs, some research projects in and of themselves 2. Automated classification with machine learning tools given the very sparse and heterogeneous data, dynamically evolving in time as more data come in, with follow-up decision making reflecting limited follow-up resources -- 1. Visualization mechanisms for highly dimensional data parameter spaces -- -- -- DOE Extreme Data from 1. ~1 PB/year becoming 7 PB/year of 1. Advanced analysis and visualization 1. MPI, OpenMP, C, C++, F90, FFTW, viz 1. Interpretation of results -- -- --