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@ -57,9 +57,7 @@ The main reference for the serial sparse BLAS is:
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1. A working version of MPI.
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2. A version of the BLAS; if you don't have a specific version for your
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platform you may try ATLAS available from
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http://math-atlas.sourceforge.net/
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2. A version of the BLAS; you can specify a specific version with `--with-blas`
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3. We have had good results with the METIS library, from
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https://github.com/KarypisLab/METIS.
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@ -71,12 +69,12 @@ The main reference for the serial sparse BLAS is:
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We use the C interface to AMD.
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6. If you have CUDA available, use
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--enable-cuda to compile CUDA-enabled methods
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--with-cudadir=<path> to specify the CUDA toolkit location
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--with-cudacc=XX,YY,ZZ to specify a list of target CCs (compute
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capabilities) to compile the CUDA code for.
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- `--enable-cuda` to compile CUDA-enabled methods
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- `--with-cudadir=<path>` to specify the CUDA toolkit location
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- `--with-cudacc=XX,YY,ZZ` to specify a list of target CCs (compute
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capabilities).
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The configure script will generate a Make.inc file suitable for building
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The configure script will generate a `Make.inc` file suitable for building
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the library. The script is capable of recognizing the needed libraries
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with their default names; if they are in unusual places consider adding
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the paths with `--with-libs`, or explicitly specifying the names in
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@ -219,16 +217,16 @@ Salvatore Filippone
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**Contributors** (_roughly reverse cronological order_):
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- Fabio Durastante
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- Luca Pepè Sciarria
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- Theophane Loloum
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- Fabio Durastante
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- Dimitri Walther
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- Pasqua D'Ambra
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- Andea Di Iorio
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- Stefano Petrilli
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- Soren Rasmussen
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- Zaak Beekman
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- Ambra Abdullahi Hassan
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- Pasqua D'Ambra
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- Alfredo Buttari
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- Daniela di Serafino
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- Thomas Amestoy
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