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Update index.rst
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scarlehoff authored Jun 14, 2021
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With Madflow with aim to close this gap between theoretical and high performance computing
by providing a framework that it is maintainable, extensible and modern
while
while at the same time not sacrificing the complexity of fixed-order computations.

Even while there might be situations for which the huge complexity of many-particle calculations
cannot efficiently automatically mapped to hardware accelerator, we expect ``madflow`` will
help quickstart the efforts for a new age of GPU-capable Monte Carlo simulators.

..
How to cite ``madflow``?
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It is a combination of the names `Madgraph` and `Tensorflow`.

- **Madgraph**: add here information about Madgraph and the proper references
- **Madgraph**: https://cp3.irmp.ucl.ac.be/projects/madgraph/

- **TensorFlow**: the `tensorflow <https://www.tensorflow.org/>`_ is developed by Google and was made public in November of 2015. It is a perfect combination between performance and usability. With a focus on Deep Learning, TensorFlow provides an algebra library able to easily run operations in many different devices: CPUs, GPUs, TPUs with little input by the developer.

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