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README.md

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@@ -10,16 +10,14 @@ This is an open-source custom version of Quantum ESPRESSO with embedded GPU
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support based on CUDA FORTRAN. This product has been made possible thanks to
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the effort of the [NVIDIA](http://www.nvidia.com/page/home.html) HPC Software
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and Benchmarks Group. This version is maintained by
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[Filippo Spiga](https://github.com/fspiga), contributions are encouraged. Partial
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support was provided by [E4 Computer Engineering SpA](https://www.e4company.com/en/)
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via the European PRACE Pre-Commercial Procurement project (Phase 3). To contribute
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please refer to the guidelines in [CONTRIBUTING.md](CONTRIBUTING.md)
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[Filippo Spiga](https://github.com/fspiga), it is not aligned with main
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Quantum ESPRESSO development efforts.
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### Requirements
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The [PGI](http://www.pgroup.com/products) compiler version 17.4 or above is required to use QE-GPU.
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We suggest the latest community edition 17.10 (freely available from [PGI](http://www.pgroup.com/products/community.htm).
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The [PGI](http://www.pgroup.com/products) compiler version 19.4 or above is required to use QE-GPU.
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We suggest the latest community edition 19.10 (freely available from [PGI](http://www.pgroup.com/products/community.htm).
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It containes CUDA SDK and pre-built Open MPI for parallel execution (check the
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[PGI Installation Guide](http://www.pgroup.com/doc/pgiinstall174.pdf) how to
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install it). **No other compilers are supported**
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### Citation
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If you use the code for science or any form of scientific and technical dissemination activity, we kindly ask to cite the code using the two following references:
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* Romero, J., Phillips, E. Fatica, M., Spiga, F.: GPU-accelerated Quantum ESPRESSO, Version 1.0 (November 2017), http://doi.org/10.5281/zenodo.823200
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* Romero, J., Phillips, E. Fatica, M., Spiga, F.: GPU-accelerated Quantum ESPRESSO, Version 1.0 (November 2017), https://doi.org/10.5281/zenodo.1041825
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* Romero, J., Phillips, E. Fatica, M., Spiga, F.: GPU-accelerated Quantum ESPRESSO, Version 1.1 (January 2020), http://doi.or g/10.5281/zenodo.823200 (latest release)
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* Romero, J., Phillips, E. Fatica, M., Spiga, F., Giannozzi, P.: _A performance study of Quantum ESPRESSO's PWscf code on multi-core and GPU systems_, 8th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS17), Lecture Notes in Computer Science, Springer, Denver (2017)
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### Benchmarks
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Benchmarks will be collected in a separate [repository](https://github.com/romerojosh/qe-gpu-benchmarks)
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### License
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All the material included in this distribution is free software; you can

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