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The convergence of HPC, Databases and Analytics

The convergence of HPC, Databases and Analytics. The Good HPC brings a wealth of parallelization experience, petaflop scaling and hybrid architectures. Analytics brings new algorithms and new markets. The Database world brings new paradigms, new users and… Big Data.

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The convergence of HPC, Databases and Analytics

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  1. The convergence of HPC, Databases and Analytics The Good • HPC brings a wealth of parallelization experience, petaflop scaling and hybrid architectures. • Analytics brings new algorithms and new markets. • The Database world brings new paradigms, new users and… Big Data.

  2. The convergence of HPC, Databases and Analytics The Bad • Highly parallel HPC machines are frankly hard to program. Hybrid architectures make this worse. • Analytics, particularly over non-tabular data structures, requires users to think about their problem in an entirely new way. • Big Data brings scaling issues to every link of the analysis chain, including the user.

  3. The convergence of HPC, Databases and Analytics The Beautiful • The ugliness of massively parallel hybrid architectures can be hidden under layers of abstraction. • New visualization techniques can bring new ways of understanding large problems. High-level languages calling HPC subroutines make programming easier. • New levels of insight into very large and mixed datasets will bring new benefits to society.

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