Refactoring of the gh pages

_pages/about.md

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+---
+layout: single
+permalink: /about/
+title: "About"
+excerpt: "on the project and the authors"
+---
+
+{% include base_path %}
+
+## Main authors and mantainers
+
+* Peter Boyle
+* Guido Cossu
+* Azusa Yamaguchi
+* Antonin Portelli
+
+
+## Description
+
+This library provides data parallel C++ container classes with internal memory layout
+that is transformed to map efficiently to SIMD architectures. CSHIFT facilities
+are provided, similar to HPF and cmfortran, and user control is given over the mapping of
+array indices to both MPI tasks and SIMD processing elements.
+
+* Identically shaped arrays then be processed with perfect data parallelisation.
+* Such identically shapped arrays are called conformable arrays.
+
+The transformation is based on the observation that Cartesian array processing involves
+identical processing to be performed on different regions of the Cartesian array.
+
+The library will both geometrically decompose into MPI tasks and across SIMD lanes.
+Local vector loops are parallelised with OpenMP pragmas.
+
+Data parallel array operations can then be specified with a SINGLE data parallel paradigm, but
+optimally use MPI, OpenMP and SIMD parallelism under the hood. This is a significant simplification
+for most programmers.
+
+The layout transformations are parametrised by the SIMD vector length. This adapts according to the architecture.
+Presently SSE4 (128 bit) AVX, AVX2 (256 bit) and IMCI and AVX512 (512 bit) targets are supported (ARM NEON and BG/Q QPX on the way).
+
+These are presented as `vRealF`, `vRealD`, `vComplexF`, and `vComplexD` internal vector data types. These may be useful in themselves for other programmers.
+The corresponding scalar types are named `RealF`, `RealD`, `ComplexF` and `ComplexD`.
+
+MPI, OpenMP, and SIMD parallelism are present in the library.
+Please see [this paper](https://arxiv.org/abs/1512.03487) for more detail.