"Supercomputing in an Era of Big Data and Big Collaboration" --Ed Seidel, NCSA
Supercomputing has reached a level of maturity and capability where many areas of science and engineering are not only advancing rapidly due to computing power, they cannot progress without it. Detailed simulations of complex astrophysical phenomena, HIV, earthquake events, and industrial engineering processes are being done, leading to major scientific breakthroughs or new products that cannot be achieved any other way. These simulations typically require larger and larger teams, with more and more complex software environments to support them, as well as real world data. But as experiments and observation systems are now generating unprecedented amounts of data, which also must be analyzed via large-scale computation and compared with simulation, a new type of highly integrated environment must be developed where computing, experiment, and data services will need to be developed together. I will illustrate examples from NCSA's Blue Waters supercomputer, and from major data-intensive projects including the Large Synoptic Survey Telescope, and give thoughts on what will be needed going forward.
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