diff --git a/README.md b/README.md
index 756891fa..935f069b 100644
--- a/README.md
+++ b/README.md
@@ -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.
@@ -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:
diff --git a/serial/README.md b/serial/README.md
index 080c0f17..9b1e81ea 100644
--- a/serial/README.md
+++ b/serial/README.md
@@ -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
@@ -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`