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Programming revisited

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Writing efficient scientific software that makes best use of the increasing complexity of computer architectures requires bringing together modelling, applied mathematics and computer engineering. Physics may help unite these approaches.

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Figure 1: Traditional computational science workflow.
Figure 2: A new programming workflow.

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Acknowledgements

The author thanks Thomas Lippert for insightful discussion on the respective roles of simulations and data analysis, as well as Peter Messmer, Oliver Fuhrer and Torsten Hoefler for important comments on parts of the manuscript. Generous support from the NCCR-MARVEL project of the Swiss National Fund and Oak Ridge National Laboratory is acknowledged.

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  1. Thomas C. Schulthess is at Institut fur Theoretische Physik, ETH Zurich, Zurich 8093, Switzerland. He also directs the Swiss National Supercomputing Centre in Switzerland and holds a visiting distinguished scientist appointment at Oak Ridge National Laboratory in the USA,

    Thomas C. Schulthess

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  1. Thomas C. Schulthess
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Correspondence to Thomas C. Schulthess.

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Schulthess, T. Programming revisited. Nature Phys 11, 369–373 (2015). https://doi.org/10.1038/nphys3294

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