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Merge pull request #57 from CEED/readme-setup
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Readme update
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camierjs authored Mar 28, 2020
2 parents 7bdffe5 + 3691a2a commit e3d23a0
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9 changes: 4 additions & 5 deletions README.md
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Expand Up @@ -146,9 +146,9 @@ Build *hypre*:
```sh
~> tar -zxvf hypre-2.11.2.tar.gz
~> cd hypre-2.11.2/src/
~/hypre-2.10.0b/src> ./configure --disable-fortran
~/hypre-2.10.0b/src> make -j
~/hypre-2.10.0b/src> cd ../..
~/hypre-2.11.2/src> ./configure --disable-fortran
~/hypre-2.11.2/src> make -j
~/hypre-2.11.2/src> cd ../..
```
For large runs (problem size above 2 billion unknowns), add the
`--enable-bigint` option to the above `configure` line.
Expand Down Expand Up @@ -306,8 +306,7 @@ overall computation.)
Laghos also reports the total rate for these major kernels, which is a proposed
**Figure of Merit (FOM)** for benchmarking purposes. Given a computational
allocation, the FOM should be reported for different problem sizes and finite
element orders, as illustrated in the sample scripts in the [timing](./timing)
directory.
element orders.

A sample run on the [Vulcan](https://computation.llnl.gov/computers/vulcan) BG/Q
machine at LLNL is:
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8 changes: 2 additions & 6 deletions serial/README.md
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Expand Up @@ -49,14 +49,10 @@ To build the miniapp, first clone and build MFEM:
```sh
~> git clone https://github.com/mfem/mfem.git ./mfem
~> cd mfem/
~/mfem> git checkout laghos-v2.0
~/mfem> make serial -j
~/mfem> cd ..
```
The above uses the `laghos-v2.0` tag of MFEM, which is guaranteed to work with
Laghos v2.0. Alternatively, one can use the latest versions of the MFEM and
Laghos `master` branches (provided there are no conflicts). See the [MFEM
building page](http://mfem.org/building/) for additional details.
See the [MFEM building page](http://mfem.org/building/) for additional details.

(Optional) Clone and build GLVis:
```sh
Expand Down Expand Up @@ -108,7 +104,7 @@ To make sure the results are correct, we tabulate reference final iterations
| 7. | 528 | 0.000180 | 5.6505348812e+01 |
| 8. | 776 | 0.000045 | 4.0982431726e+02 |

Similar CUDA runs can be launched with these commands:
Similar GPU runs using the MFEM CUDA device can be run as follows:

1. `./laghos -p 0 -dim 2 -rs 3 -tf 0.75 -pa -d cuda`
2. `./laghos -p 0 -dim 3 -rs 1 -tf 0.75 -pa -d cuda`
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