diff --git a/.gitignore b/.gitignore
index b9d909fd082a74b3b710cd00bd2e8e510db979d9..73995284bb445ed5556f14f8c8e791eed32a6b31 100644
--- a/.gitignore
+++ b/.gitignore
@@ -18,3 +18,4 @@ html/
 parts
 sphinx
 src/
+submitted.sql3
diff --git a/bob/bio/vein/configurations/grid/demanding.py b/bob/bio/vein/configurations/grid.py
similarity index 89%
rename from bob/bio/vein/configurations/grid/demanding.py
rename to bob/bio/vein/configurations/grid.py
index bbc638ce45348edcb0df2f92334d650acbbbae79..7939d233fb6ce12a189684f7c58cc2704ee7397d 100644
--- a/bob/bio/vein/configurations/grid/demanding.py
+++ b/bob/bio/vein/configurations/grid.py
@@ -3,8 +3,8 @@
 
 from bob.bio.base.grid import Grid
 
-
-grid = Grid(
+# our preferred grid setup for Idiap
+default = Grid(
     training_queue='32G',
 
     number_of_preprocessing_jobs=200,
diff --git a/bob/bio/vein/configurations/grid/__init__.py b/bob/bio/vein/configurations/grid/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/bob/bio/vein/configurations/grid/local.py b/bob/bio/vein/configurations/grid/local.py
deleted file mode 100644
index 13a184f21d47f29aa839be59b4fb8080a4fbcc55..0000000000000000000000000000000000000000
--- a/bob/bio/vein/configurations/grid/local.py
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/usr/bin/env python
-# vim: set fileencoding=utf-8 :
-
-from bob.bio.base.grid import Grid
-
-grid = Grid(
-  grid_type = 'local',
-  number_of_parallel_processes = 4
-)
diff --git a/bob/bio/vein/configurations/preprocessors.py b/bob/bio/vein/configurations/preprocessors.py
index 0d6a48686f88daab167ecac2d7bf6664e907afe8..f28500285794848312515dfcc85289e75a36caea 100644
--- a/bob/bio/vein/configurations/preprocessors.py
+++ b/bob/bio/vein/configurations/preprocessors.py
@@ -2,7 +2,7 @@
 # vim: set fileencoding=utf-8 :
 
 from ..preprocessors import FingerCrop
-nonorm = FingerCrop()
+none = FingerCrop()
 he = FingerCrop(postprocessing='HE')
 hfe = FingerCrop(postprocessing='HFE')
 circgabor = FingerCrop(postprocessing='CircGabor')
diff --git a/doc/baselines.rst b/doc/baselines.rst
index 0a6dd3ba4ec181d91fa028412bec8398d5f0190b..a4475069071059d725cda76ffc7d9e8945e179e3 100644
--- a/doc/baselines.rst
+++ b/doc/baselines.rst
@@ -85,27 +85,30 @@ Repeated Line-Tracking with Miura Matching
 You can find the description of this method on the paper from Miura *et al.*
 [MNM04]_.
 
-To run the baseline on the `VERA fingervein`_ database, using the ``nom``
+To run the baseline on the `VERA fingervein`_ database, using the ``NOM``
 protocol (called ``Full`` in [TVM14]_), do the following:
 
+
 .. code-block:: sh
 
-   $ ./bin/verify.py --database=vera --protocol=nom --preprocessor=none --extractor=repeatedlinetracking --algorithm=match-rlt --sub-directory="rlt" --verbose --verbose
+   $ ./bin/verify.py --database=vera --protocol=NOM --preprocessor=nopp --extractor=repeatedlinetracking --algorithm=match-rlt --sub-directory="rlt" --verbose --verbose
+
 
 .. tip::
 
    If you have more processing cores on your local machine and don't want to
-   submit your job for SGE execution, you can run it in parallel by adding the
-   options ``?``.
+   submit your job for SGE execution, you can run it in parallel (using 4
+   parallel tasks) by adding the options ``--parallel=4 --nice=10``.
+
 
 This command line selects and runs the following implementations for the
 toolchain:
 
 * Database: Use the base Bob API for the VERA database implementation,
-  protocol variant ``nom`` which corresponds to the ``Full`` evaluation
+  protocol variant ``NOM`` which corresponds to the ``Full`` evaluation
   protocol described in [TVM14]_
-* Preprocessor: Simple finger cropping, with no extra pre-processing and no
-  histogram equalization, as defined in [LLP09]_
+* Preprocessor: Simple finger cropping, with no extra post-processing, as
+  defined in [LLP09]_
 * Feature extractor: Repeated line tracking, as explained in [MNM04]_
 * Matching algorithm: "Miura" matching, as explained on the same paper
 * Subdirectory: This is the subdirectory in which the scores and intermediate
@@ -119,15 +122,18 @@ the detector error trade-off (DET) curve with the performance:
 
 .. code-block:: sh
 
-   $ ./bin/bob_eval_threshold.py  --scores <path-to>/vera/rlt/nom/nonorm/scores-dev --criterium=eer
+   $ ./bin/bob_eval_threshold.py  --scores <path-to>/vera/rlt/NOM/nonorm/scores-dev --criterium=eer
    ('Threshold:', 0.32023322499999995)
    FAR : 24.318% (46866/192720)
    FRR : 24.318% (107/440)
    HTER: 24.318%
-   $ ./bin/evaluate.py --dev-files <path-to>/vera/rlt/nom/nonorm/scores-dev --det det.pdf -l "vera-nom-mnm04" -rr
+   $ ./bin/evaluate.py --dev-files <path-to>/vera/rlt/NOM/nonorm/scores-dev --det det.pdf -l "vera-nom-mnm04" -rr
    The Recognition Rate of the development set of 'rlt' is 48.409%
 
-To view the DET curve stored in
+To view the DET curve stored in the output file, do the following (on a Linux
+machine):
+
+.. code-block:: sh
 
    $ xdg-open det.pdf #to view the DET curve
 
diff --git a/setup.py b/setup.py
index bc1de6a9295db42f8a6af894328aa74f0aef8894..02cae5eb5f1e2cc7ce90afeb41faec2886302a42 100644
--- a/setup.py
+++ b/setup.py
@@ -39,7 +39,7 @@ setup(
 
       # registered preprocessors
       'bob.bio.preprocessor': [
-        'nonorm = bob.bio.vein.configurations.preprocessors:nonorm',
+        'nopp = bob.bio.vein.configurations.preprocessors:none',
         'histeq = bob.bio.vein.configurations.preprocessors:he',
         'highfreq = bob.bio.vein.configurations.preprocessors:hfe',
         'circgabor = bob.bio.vein.configurations.preprocessors:circgabor',
@@ -64,8 +64,7 @@ setup(
 
       # registered SGE grid configuration files
       'bob.bio.grid': [
-        'local = bob.bio.vein.configurations.grid.local:grid',
-        'demanding = bob.bio.vein.configurations.grid.demanding:grid',
+        'idiap = bob.bio.vein.configurations.grid:default',
       ],
 
       },