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Merge pull request #57 from CEED/readme-setup
Readme update
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README.md

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@@ -146,9 +146,9 @@ Build *hypre*:
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```sh
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~> tar -zxvf hypre-2.11.2.tar.gz
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~> cd hypre-2.11.2/src/
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~/hypre-2.10.0b/src> ./configure --disable-fortran
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~/hypre-2.10.0b/src> make -j
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~/hypre-2.10.0b/src> cd ../..
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~/hypre-2.11.2/src> ./configure --disable-fortran
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~/hypre-2.11.2/src> make -j
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~/hypre-2.11.2/src> cd ../..
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```
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For large runs (problem size above 2 billion unknowns), add the
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`--enable-bigint` option to the above `configure` line.
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Laghos also reports the total rate for these major kernels, which is a proposed
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**Figure of Merit (FOM)** for benchmarking purposes. Given a computational
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allocation, the FOM should be reported for different problem sizes and finite
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element orders, as illustrated in the sample scripts in the [timing](./timing)
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directory.
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element orders.
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A sample run on the [Vulcan](https://computation.llnl.gov/computers/vulcan) BG/Q
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machine at LLNL is:

serial/README.md

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@@ -49,14 +49,10 @@ To build the miniapp, first clone and build MFEM:
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```sh
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~> git clone https://github.com/mfem/mfem.git ./mfem
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~> cd mfem/
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~/mfem> git checkout laghos-v2.0
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~/mfem> make serial -j
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~/mfem> cd ..
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```
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The above uses the `laghos-v2.0` tag of MFEM, which is guaranteed to work with
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Laghos v2.0. Alternatively, one can use the latest versions of the MFEM and
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Laghos `master` branches (provided there are no conflicts). See the [MFEM
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building page](http://mfem.org/building/) for additional details.
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See the [MFEM building page](http://mfem.org/building/) for additional details.
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(Optional) Clone and build GLVis:
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```sh
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| 7. | 528 | 0.000180 | 5.6505348812e+01 |
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| 8. | 776 | 0.000045 | 4.0982431726e+02 |
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Similar CUDA runs can be launched with these commands:
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Similar GPU runs using the MFEM CUDA device can be run as follows:
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1. `./laghos -p 0 -dim 2 -rs 3 -tf 0.75 -pa -d cuda`
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2. `./laghos -p 0 -dim 3 -rs 1 -tf 0.75 -pa -d cuda`

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