From 47409a3549ba55c87c2c13ed66901998fbd89cd6 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Thu, 20 Mar 2025 16:54:53 -0500
Subject: [PATCH 01/18] Rename image

---
 ...d_new_detailed.png => centralized_dedicated.png} | Bin
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename docs/images/{centralized_new_detailed.png => centralized_dedicated.png} (100%)

diff --git a/docs/images/centralized_new_detailed.png b/docs/images/centralized_dedicated.png
similarity index 100%
rename from docs/images/centralized_new_detailed.png
rename to docs/images/centralized_dedicated.png

From bc6425636f71e63e2815b52bf61e7c63d7958f0e Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Thu, 20 Mar 2025 16:56:59 -0500
Subject: [PATCH 02/18] Update HPC running instructions

---
 docs/data_structures/libE_specs.rst        |   4 +-
 docs/images/centralized_gen_on_manager.png | Bin 0 -> 102982 bytes
 docs/platforms/platforms_index.rst         |  74 +++++++++++++--------
 libensemble/specs.py                       |   4 +-
 4 files changed, 51 insertions(+), 31 deletions(-)
 create mode 100644 docs/images/centralized_gen_on_manager.png

diff --git a/docs/data_structures/libE_specs.rst b/docs/data_structures/libE_specs.rst
index 2a9195cea5..fb092dce9d 100644
--- a/docs/data_structures/libE_specs.rst
+++ b/docs/data_structures/libE_specs.rst
@@ -272,8 +272,8 @@ libEnsemble is primarily customized by setting options within a ``LibeSpecs`` cl
                     ``disable_resource_manager`` is set.
 
                 **dedicated_mode** [bool] = ``False``:
-                    Disallow any resources running libEnsemble processes (manager and workers)
-                    from being valid targets for app submissions.
+                    Instructs libEnsemble’s MPI executor not to run applications on nodes where
+                    libEnsemble processes (manager and workers) are running.
 
                 **zero_resource_workers** [list of ints]:
                     List of workers (by IDs) that require no resources. For when a fixed mapping of workers
diff --git a/docs/images/centralized_gen_on_manager.png b/docs/images/centralized_gen_on_manager.png
new file mode 100644
index 0000000000000000000000000000000000000000..949f8e3968653c80503c58acd26b4bb4bf25de24
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diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 02e4ace459..b61693adfb 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -3,26 +3,52 @@
 Running on HPC Systems
 ======================
 
-Central vs. Distributed
------------------------
+libEnsemble has been  tested on systems of highly varying scales, from laptops to
+thousands of compute nodes. On multi-node systems, there are a few alternative
+ways of configuring libEnsemble to run and launch tasks (user applications) on
+the available nodes.
 
-libEnsemble has been developed, supported, and tested on systems of highly varying
-scales, from laptops to thousands of compute nodes. On multi-node systems, there are
-two basic modes of configuring libEnsemble to run and launch tasks (user applications)
-on the available nodes.
+The :doc:`Forces tutorial <../../tutorials/executor_forces_tutorial>` gives an
+example with a simple MPI application.
 
-The first mode we refer to as **central** mode, where the libEnsemble manager and worker processes
-are grouped onto one or more dedicated nodes. Workers launch applications onto
-the remaining allocated nodes:
+Central Mode
+------------
 
-    .. image:: ../images/centralized_new_detailed.png
+The default communications scheme places the manager and workers on the first node.
+The :doc:`MPI Executor<../executor/mpi_executor>` can then be used on each
+simulation worker to distribute user applications across the current node allocation.
+
+The generator will run on a worker by default, but if running a single generator,
+the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,
+which runs the generator on the manager (using a thread) as below.
+
+    .. image:: ../images/centralized_gen_on_manager.png
+        :alt: centralized
+        :scale: 55
+        :align: center
+
+
+If the :ref:`libE_specs<datastruct-libe-specs>` option **dedicated_mode** is set to
+True, the MPI executor will not launch applications on nodes where libEnsemble Python
+processes (manager and workers) are running. Worker’s launch applications onto the
+remaining nodes in the allocation.
+
+    .. image:: ../images/centralized_dedicated.png
         :alt: centralized
         :scale: 30
         :align: center
 
-Alternatively, in **distributed** mode, the libEnsemble (manager/worker) processes
-will share nodes with submitted tasks. This enables libEnsemble, using the *mpi4py*
-communicator, to be run with the workers spread across nodes so as to be co-located
+.. note::
+    Note that **gen_on_manager** is not set in the above example.
+
+Note that while these diagrams show one application being run per node, configurations
+with multiple nodes per worker or multiple workers per node are both common use cases.
+
+Distributed Mode
+----------------
+
+In the **distributed** approach, libEnsemble, using the *mpi4py* communicator,
+can be run with the workers spread across nodes so as to be co-located
 with their tasks.
 
     .. image:: ../images/distributed_new_detailed.png
@@ -30,10 +56,10 @@ with their tasks.
         :scale: 30
         :align: center
 
-Configurations with multiple nodes per worker or multiple workers per node are both
-common use cases. The distributed approach allows the libEnsemble worker to read files
-produced by the application on local node storage. HPC systems that allow only one
-application to be launched to a node at any one time prevent distributed configuration.
+The distributed approach allows the libEnsemble worker to read files
+produced by the application on local node storage.
+
+Distributed mode is also useful when workers are running simulations directly through
 
 Configuring the Run
 -------------------
@@ -63,22 +89,16 @@ or::
 
 Either of these will run libEnsemble (inc. manager and 4 workers) on the first node. The remaining
 4 nodes will be divided among the workers for submitted applications. If the same run was
-performed without ``libE_specs["dedicated_mode"]=True``, runs could be submitted to all 5 nodes. The number of workers
-can be modified to allow either multiple workers to map to each node or multiple nodes per worker.
+performed without ``libE_specs["dedicated_mode"]=True``, runs could be submitted to all 5 nodes.
+The number of workers can be modified to allow either multiple workers to map to each node or
+multiple nodes per worker.
 
 To launch libEnsemble distributed requires a less trivial libEnsemble run script.
 For example::
 
     mpirun -np 5 -ppn 1 python myscript.py
 
-would launch libEnsemble with 5 processes across 5 nodes. However, the manager would have its
-own node, which is likely wasteful. More often, a ``machinefile`` is used to add the manager to
-the first node. In the :doc:`examples<example_scripts>` directory, you can find an example submission
-script, configured to run libensemble distributed, with multiple workers per node or multiple nodes
-per worker, and adding the manager onto the first node.
-
-HPC systems that only allow one application to be launched to a node at any one time,
-will not allow a distributed configuration.
+would launch libEnsemble with 5 processes across 5 nodes.
 
 Systems with Launch/MOM Nodes
 -----------------------------
diff --git a/libensemble/specs.py b/libensemble/specs.py
index 3b72482fc2..aa70018362 100644
--- a/libensemble/specs.py
+++ b/libensemble/specs.py
@@ -469,8 +469,8 @@ class LibeSpecs(BaseModel):
 
     dedicated_mode: Optional[bool] = False
     """
-    Instructs libEnsemble to not run applications on resources where libEnsemble
-    processes (manager and workers) are running.
+    Instructs libEnsemble’s MPI executor not to run applications on nodes where
+    libEnsemble processes (manager and workers) are running.
     """
 
     zero_resource_workers: Optional[List[int]] = []

From 2984dffdee89fe52e42a3c97b8991056dd89d104 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Fri, 21 Mar 2025 15:51:02 -0500
Subject: [PATCH 03/18] Show code alongside diagram

---
 docs/platforms/platforms_index.rst | 39 +++++++++++++++++++++++-------
 1 file changed, 30 insertions(+), 9 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index b61693adfb..afed527d7d 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -17,6 +17,7 @@ Central Mode
 The default communications scheme places the manager and workers on the first node.
 The :doc:`MPI Executor<../executor/mpi_executor>` can then be used on each
 simulation worker to distribute user applications across the current node allocation.
+This is the most common approach, when each simulation is running an MPI application.
 
 The generator will run on a worker by default, but if running a single generator,
 the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,
@@ -27,6 +28,20 @@ which runs the generator on the manager (using a thread) as below.
         :scale: 55
         :align: center
 
+   .. code-block:: python
+
+    ensemble.libE_specs = LibeSpecs(
+        gen_on_manager=True,
+    )
+
+When using **gen_on_manager**, set ``nworkers`` to the number of workers desired for running
+simulations. A batch script may include:
+
+    .. code-block:: bash
+
+        #SBATCH --nodes 3
+
+        python run_libe_forces.py --nworkers 3
 
 If the :ref:`libE_specs<datastruct-libe-specs>` option **dedicated_mode** is set to
 True, the MPI executor will not launch applications on nodes where libEnsemble Python
@@ -38,28 +53,34 @@ remaining nodes in the allocation.
         :scale: 30
         :align: center
 
-.. note::
-    Note that **gen_on_manager** is not set in the above example.
+Note that **gen_on_manager** is not set in the above example.
+
+   .. code-block:: python
+
+    ensemble.libE_specs = LibeSpecs(
+        dedicated_mode=True,
+    )
+
 
 Note that while these diagrams show one application being run per node, configurations
-with multiple nodes per worker or multiple workers per node are both common use cases.
+with **multiple nodes per worker** or **multiple workers per node** are both common use cases.
 
 Distributed Mode
 ----------------
 
-In the **distributed** approach, libEnsemble, using the *mpi4py* communicator,
-can be run with the workers spread across nodes so as to be co-located
-with their tasks.
+In the **distributed** approach, libEnsemble can be run using the **mpi4py**
+communicator, with workers distributed across nodes to be co-located with their tasks.
 
     .. image:: ../images/distributed_new_detailed.png
         :alt: distributed
         :scale: 30
         :align: center
 
-The distributed approach allows the libEnsemble worker to read files
-produced by the application on local node storage.
+The distributed approach allows the libEnsemble worker to read files produced by the
+application on local node storage.
 
-Distributed mode is also useful when workers are running simulations directly through
+Distributed mode is also useful when workers are running simulations directly, via a
+Python interface.
 
 Configuring the Run
 -------------------

From c1734275d0d74e9e25780173ff37cba5797d61d8 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Fri, 21 Mar 2025 15:54:50 -0500
Subject: [PATCH 04/18] Clarifying wording

---
 docs/platforms/platforms_index.rst | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index afed527d7d..7451145181 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -15,9 +15,10 @@ Central Mode
 ------------
 
 The default communications scheme places the manager and workers on the first node.
-The :doc:`MPI Executor<../executor/mpi_executor>` can then be used on each
-simulation worker to distribute user applications across the current node allocation.
-This is the most common approach, when each simulation is running an MPI application.
+The :doc:`MPI Executor<../executor/mpi_executor>` can then be invoked on each
+simulation worker, and libEnsemble will distribute user applications across the
+current node allocation. This is the most common approach, when each simulation
+is running an MPI application.
 
 The generator will run on a worker by default, but if running a single generator,
 the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,

From bd0c9426cba848a744fb405caf627973d1850775 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Fri, 21 Mar 2025 18:26:49 -0500
Subject: [PATCH 05/18] Restructure HPC docs

---
 docs/platforms/platforms_index.rst     | 85 +++++++++++++-------------
 docs/tutorials/forces_gpu_tutorial.rst |  2 +
 2 files changed, 44 insertions(+), 43 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 7451145181..fd4836b9b8 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -77,6 +77,12 @@ communicator, with workers distributed across nodes to be co-located with their
         :scale: 30
         :align: center
 
+
+To run using a 3-node allocation with 3 workers using an `mpich` based MPI. From the
+head node of the allocation run the following (inc. manager and 3 workers)::
+
+    mpirun -np 4 -ppn 1 python myscript.py
+
 The distributed approach allows the libEnsemble worker to read files produced by the
 application on local node storage.
 
@@ -92,35 +98,53 @@ the nodes within that allocation.
 
 *How does libEnsemble know where to run tasks (user applications)?*
 
-The libEnsemble :doc:`Executor<../executor/ex_index>` can be initialized from the user calling
+The libEnsemble :doc:`MPI Executor<../executor/mpi_executor>` can be initialized from the user calling
 script, and then used by workers to run tasks. The Executor will automatically detect the nodes
 available on most systems. Alternatively, the user can provide a file called **node_list** in
 the run directory. By default, the Executor will divide up the nodes evenly to each worker.
-If the argument ``libE_specs["dedicated_mode"]=True`` is used when initializing libEnsemble, then any node
-that is running a libEnsemble manager or worker will be removed from the node-list available
-to the workers, ensuring libEnsemble has dedicated nodes.
 
-To run in central mode using a 5-node allocation with 4 workers: From the head node
-of the allocation::
+Mapping Tasks to Resources
+--------------------------
 
-    mpirun -np 5 python myscript.py
+The :ref:`resource manager<resources_index>` detects node lists from
+:ref:`common batch schedulers<resource_detection>`,
+and partition these to workers. The :doc:`MPI Executor<../executor/mpi_executor>`
+accesses the resources available to the current worker when launching tasks.
+
+Zero-resource workers
+~~~~~~~~~~~~~~~~~~~~~
+
+Users with persistent ``gen_f`` functions may notice that the persistent workers
+are still automatically assigned system resources. This can be resolved by using
+the ``gen_on_manager`` option or by
+:ref:`fixing the number of resource sets<zero_resource_workers>`.
 
-or::
+Assigning GPUs
+--------------
 
-    python myscript.py --nworkers 4
+libEnsemble automatically detects and assigns Nvidia, AMD, and Intel GPUs without modifying the user scripts. This automatically works on many systems, but if the assignment is incorrect or needs to be modified the user can specify :ref:`platform information<datastruct-platform-specs>`.
+The :doc:`forces_gpu tutorial<../tutorials/forces_gpu_tutorial>` shows an example of this.
 
-Either of these will run libEnsemble (inc. manager and 4 workers) on the first node. The remaining
-4 nodes will be divided among the workers for submitted applications. If the same run was
-performed without ``libE_specs["dedicated_mode"]=True``, runs could be submitted to all 5 nodes.
-The number of workers can be modified to allow either multiple workers to map to each node or
-multiple nodes per worker.
+Varying resources
+-----------------
 
-To launch libEnsemble distributed requires a less trivial libEnsemble run script.
-For example::
+libEnsemble also features :ref:`dynamic resource assignment<var_resources_gpu>`, whereby the
+number of processes and/or the number of GPUs can be a set for each simulation by the generator.
+
+
+Overriding Auto-Detection
+-------------------------
+
+libEnsemble can automatically detect system information. This includes resource information, such as
+available nodes and the number of cores on the node, and information about available MPI runners.
+
+System detection for resources can be overridden using the :ref:`resource_info<resource_info>`
+libE_specs option.
+
+When using the MPI Executor, it is possible to override the detected information using the
+`custom_info` argument. See the :doc:`MPI Executor<../executor/mpi_executor>` for more.
 
-    mpirun -np 5 -ppn 1 python myscript.py
 
-would launch libEnsemble with 5 processes across 5 nodes.
 
 Systems with Launch/MOM Nodes
 -----------------------------
@@ -160,31 +184,6 @@ or *to entirely different systems*.
 Submission scripts for running on launch/MOM nodes and for using Balsam, can be found in
 the :doc:`examples<example_scripts>`.
 
-Mapping Tasks to Resources
---------------------------
-
-The :ref:`resource manager<resources_index>` can :ref:`detect system resources<resource_detection>`,
-and partition these to workers. The :doc:`MPI Executor<../executor/mpi_executor>`
-accesses the resources available to the current worker when launching tasks.
-
-Zero-resource workers
-~~~~~~~~~~~~~~~~~~~~~
-
-Users with persistent ``gen_f`` functions may notice that the persistent workers
-are still automatically assigned system resources. This can be resolved by
-:ref:`fixing the number of resource sets<zero_resource_workers>`.
-
-Overriding Auto-Detection
--------------------------
-
-libEnsemble can automatically detect system information. This includes resource information, such as
-available nodes and the number of cores on the node, and information about available MPI runners.
-
-System detection for resources can be overridden using the :ref:`resource_info<resource_info>`
-libE_specs option.
-
-When using the MPI Executor, it is possible to override the detected information using the
-`custom_info` argument. See the :doc:`MPI Executor<../executor/mpi_executor>` for more.
 
 .. _globus_compute_ref:
 
diff --git a/docs/tutorials/forces_gpu_tutorial.rst b/docs/tutorials/forces_gpu_tutorial.rst
index e53687af4e..7e6423ac54 100644
--- a/docs/tutorials/forces_gpu_tutorial.rst
+++ b/docs/tutorials/forces_gpu_tutorial.rst
@@ -225,6 +225,8 @@ If you want to have two GPUs per worker on the same system (with four GPUs per n
 you could assign only four workers. You will see that two GPUs are used for each
 forces run.
 
+.. _var_resources_gpu
+
 Varying resources
 -----------------
 

From 0c8165c4286833cc576e37cae4be10f409df108c Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Fri, 21 Mar 2025 18:57:57 -0500
Subject: [PATCH 06/18] Fix broken link

---
 docs/platforms/platforms_index.rst     | 2 +-
 docs/tutorials/forces_gpu_tutorial.rst | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index fd4836b9b8..a46a4f23e8 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -128,7 +128,7 @@ The :doc:`forces_gpu tutorial<../tutorials/forces_gpu_tutorial>` shows an exampl
 Varying resources
 -----------------
 
-libEnsemble also features :ref:`dynamic resource assignment<var_resources_gpu>`, whereby the
+libEnsemble also features :ref:`dynamic resource assignment<var-resources-gpu>`, whereby the
 number of processes and/or the number of GPUs can be a set for each simulation by the generator.
 
 
diff --git a/docs/tutorials/forces_gpu_tutorial.rst b/docs/tutorials/forces_gpu_tutorial.rst
index 7e6423ac54..ab1ee121fc 100644
--- a/docs/tutorials/forces_gpu_tutorial.rst
+++ b/docs/tutorials/forces_gpu_tutorial.rst
@@ -225,7 +225,7 @@ If you want to have two GPUs per worker on the same system (with four GPUs per n
 you could assign only four workers. You will see that two GPUs are used for each
 forces run.
 
-.. _var_resources_gpu
+.. _var-resources-gpu:
 
 Varying resources
 -----------------

From 2dea88ec9c1be08754a27942db8093add273f6a6 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Sat, 22 Mar 2025 11:15:47 -0500
Subject: [PATCH 07/18] Put example code beside diagrams

---
 docs/platforms/platforms_index.rst | 78 ++++++++++++++++++++----------
 1 file changed, 52 insertions(+), 26 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index a46a4f23e8..6f5c3e8f33 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -11,8 +11,8 @@ the available nodes.
 The :doc:`Forces tutorial <../../tutorials/executor_forces_tutorial>` gives an
 example with a simple MPI application.
 
-Central Mode
-------------
+Centralized Running
+-------------------
 
 The default communications scheme places the manager and workers on the first node.
 The :doc:`MPI Executor<../executor/mpi_executor>` can then be invoked on each
@@ -24,50 +24,76 @@ The generator will run on a worker by default, but if running a single generator
 the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,
 which runs the generator on the manager (using a thread) as below.
 
-    .. image:: ../images/centralized_gen_on_manager.png
-        :alt: centralized
-        :scale: 55
-        :align: center
+.. list-table::
+   :widths: 60 40
 
-   .. code-block:: python
+   * - .. image:: ../images/centralized_gen_on_manager.png
+          :alt: centralized
+          :scale: 55
 
-    ensemble.libE_specs = LibeSpecs(
-        gen_on_manager=True,
-    )
+     - In calling script:
+
+       .. code-block:: python
+          :linenos:
+
+          ensemble.libE_specs = LibeSpecs(
+              gen_on_manager=True,
+          )
+
+       A SLURM batch script may include:
 
-When using **gen_on_manager**, set ``nworkers`` to the number of workers desired for running
-simulations. A batch script may include:
 
-    .. code-block:: bash
+       .. code-block:: bash
 
-        #SBATCH --nodes 3
+          #SBATCH --nodes 3
 
-        python run_libe_forces.py --nworkers 3
+          python run_libe_forces.py --nworkers 3
+
+
+When using **gen_on_manager**, set ``nworkers`` to the number of workers desired for running simulations.
+
+Dedicated Mode
+^^^^^^^^^^^^^^
 
 If the :ref:`libE_specs<datastruct-libe-specs>` option **dedicated_mode** is set to
 True, the MPI executor will not launch applications on nodes where libEnsemble Python
 processes (manager and workers) are running. Worker’s launch applications onto the
 remaining nodes in the allocation.
 
-    .. image:: ../images/centralized_dedicated.png
-        :alt: centralized
-        :scale: 30
-        :align: center
 
-Note that **gen_on_manager** is not set in the above example.
+.. list-table::
+   :widths: 60 40
 
-   .. code-block:: python
+   * - .. image:: ../images/centralized_dedicated.png
+          :alt: centralized dedicated mode
+          :scale: 30
+
+     - In calling script:
+
+       .. code-block:: python
+          :linenos:
+
+          ensemble.libE_specs = LibeSpecs(
+              dedicated_mode=True,
+          )
+
+       A SLURM batch script may include:
 
-    ensemble.libE_specs = LibeSpecs(
-        dedicated_mode=True,
-    )
 
+       .. code-block:: bash
+
+          #SBATCH --nodes 3
+
+          python run_libe_forces.py --nworkers 3
+
+
+Note that **gen_on_manager** is not set in the above example.
 
 Note that while these diagrams show one application being run per node, configurations
 with **multiple nodes per worker** or **multiple workers per node** are both common use cases.
 
-Distributed Mode
-----------------
+Distributed  Running
+--------------------
 
 In the **distributed** approach, libEnsemble can be run using the **mpi4py**
 communicator, with workers distributed across nodes to be co-located with their tasks.

From 0d1e13b44a5152560312feed5475630c5b6823e8 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Sat, 22 Mar 2025 11:23:23 -0500
Subject: [PATCH 08/18] Update example libE specs options and change order

---
 docs/data_structures/data_structures.rst |  4 ++--
 docs/data_structures/libE_specs.rst      | 11 +++++------
 2 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/docs/data_structures/data_structures.rst b/docs/data_structures/data_structures.rst
index 1d88d993dd..35a5ba0158 100644
--- a/docs/data_structures/data_structures.rst
+++ b/docs/data_structures/data_structures.rst
@@ -8,9 +8,9 @@ See :ref:`here<libe-module>` for instruction on constructing a complete workflow
    :maxdepth: 2
    :caption: libEnsemble Specifications:
 
-   sim_specs
-   gen_specs
    libE_specs
+   gen_specs
+   sim_specs
    alloc_specs
    platform_specs
    persis_info
diff --git a/docs/data_structures/libE_specs.rst b/docs/data_structures/libE_specs.rst
index fb092dce9d..c0ca141403 100644
--- a/docs/data_structures/libE_specs.rst
+++ b/docs/data_structures/libE_specs.rst
@@ -1,7 +1,7 @@
 .. _datastruct-libe-specs:
 
-General Specs
-=============
+LibE Specs
+==========
 
 libEnsemble is primarily customized by setting options within a ``LibeSpecs`` class or dictionary.
 
@@ -10,11 +10,10 @@ libEnsemble is primarily customized by setting options within a ``LibeSpecs`` cl
     from libensemble.specs import LibeSpecs
 
     specs = LibeSpecs(
-        comm=MPI.COMM_WORLD,
-        comms="mpi",
-        save_every_k_gens=1000,
+        gen_on_manager=True,
+        save_every_k_gens=100,
         sim_dirs_make=True,
-        ensemble_dir_path="/scratch/ensemble",
+        nworkers=4
     )
 
 .. dropdown:: Settings by Category

From 47cdd6618756754d0c9dc07f4710698ef0d52042 Mon Sep 17 00:00:00 2001
From: Jeffrey Larson <jmlarson@anl.gov>
Date: Mon, 24 Mar 2025 15:33:57 -0500
Subject: [PATCH 09/18] Update platforms_index.rst

---
 docs/platforms/platforms_index.rst | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 6f5c3e8f33..6af3725f8f 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -3,9 +3,9 @@
 Running on HPC Systems
 ======================
 
-libEnsemble has been  tested on systems of highly varying scales, from laptops to
+libEnsemble has been tested on systems of highly varying scales, from laptops to
 thousands of compute nodes. On multi-node systems, there are a few alternative
-ways of configuring libEnsemble to run and launch tasks (user applications) on
+ways of configuring libEnsemble to run and launch tasks (i.e., user applications) on
 the available nodes.
 
 The :doc:`Forces tutorial <../../tutorials/executor_forces_tutorial>` gives an
@@ -15,12 +15,12 @@ Centralized Running
 -------------------
 
 The default communications scheme places the manager and workers on the first node.
-The :doc:`MPI Executor<../executor/mpi_executor>` can then be invoked on each
+The :doc:`MPI Executor<../executor/mpi_executor>` can then be invoked by each
 simulation worker, and libEnsemble will distribute user applications across the
-current node allocation. This is the most common approach, when each simulation
-is running an MPI application.
+node allocation. This is the most common approach where each simulation
+runs an MPI application.
 
-The generator will run on a worker by default, but if running a single generator,
+The generator will run on one worker by default, but if running a single generator,
 the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,
 which runs the generator on the manager (using a thread) as below.
 

From 4113234a88446fe18b02844364d3453c6be8dd43 Mon Sep 17 00:00:00 2001
From: Jeffrey Larson <jmlarson@anl.gov>
Date: Mon, 24 Mar 2025 15:39:16 -0500
Subject: [PATCH 10/18] Update platforms_index.rst

---
 docs/platforms/platforms_index.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 6af3725f8f..baf57b7ae9 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -57,7 +57,7 @@ Dedicated Mode
 
 If the :ref:`libE_specs<datastruct-libe-specs>` option **dedicated_mode** is set to
 True, the MPI executor will not launch applications on nodes where libEnsemble Python
-processes (manager and workers) are running. Worker’s launch applications onto the
+processes (manager and workers) are running. Workers launch applications onto the
 remaining nodes in the allocation.
 
 
@@ -112,7 +112,7 @@ head node of the allocation run the following (inc. manager and 3 workers)::
 The distributed approach allows the libEnsemble worker to read files produced by the
 application on local node storage.
 
-Distributed mode is also useful when workers are running simulations directly, via a
+Distributed mode is also useful when workers run simulations directly, via a
 Python interface.
 
 Configuring the Run
@@ -134,7 +134,7 @@ Mapping Tasks to Resources
 
 The :ref:`resource manager<resources_index>` detects node lists from
 :ref:`common batch schedulers<resource_detection>`,
-and partition these to workers. The :doc:`MPI Executor<../executor/mpi_executor>`
+and partitions these to workers. The :doc:`MPI Executor<../executor/mpi_executor>`
 accesses the resources available to the current worker when launching tasks.
 
 Zero-resource workers
@@ -207,7 +207,7 @@ or *to entirely different systems*.
 
         (New) Multi-System: libEnsemble + BalsamExecutor
 
-Submission scripts for running on launch/MOM nodes and for using Balsam, can be found in
+Submission scripts for running on launch/MOM nodes and for using Balsam can be found in
 the :doc:`examples<example_scripts>`.
 
 

From 5dd254a06b73b9a99546dd54f996cbeeaa6ac07c Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:05:35 -0500
Subject: [PATCH 11/18] Modify distributed docs

---
 docs/platforms/platforms_index.rst | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index baf57b7ae9..a70ad05ee5 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -96,24 +96,24 @@ Distributed  Running
 --------------------
 
 In the **distributed** approach, libEnsemble can be run using the **mpi4py**
-communicator, with workers distributed across nodes to be co-located with their tasks.
+communicator, with workers distributed across nodes. This is most often used
+when workers run simulation code directly, via a Python interface, and may be
+run an mpirunner, for example (using an `mpich` based MPI)::
+
+    mpirun -np 4 -ppn 1 python myscript.py
+
+The distributed approach, can also be used with the executor, to co-locate workers
+with the applications they submit. To ensure workers are placed as required in this
+case, requires a careful MPI rank placement.
 
     .. image:: ../images/distributed_new_detailed.png
         :alt: distributed
         :scale: 30
         :align: center
 
+This allows the libEnsemble worker to read files produced by the application on
+local node storage.
 
-To run using a 3-node allocation with 3 workers using an `mpich` based MPI. From the
-head node of the allocation run the following (inc. manager and 3 workers)::
-
-    mpirun -np 4 -ppn 1 python myscript.py
-
-The distributed approach allows the libEnsemble worker to read files produced by the
-application on local node storage.
-
-Distributed mode is also useful when workers run simulations directly, via a
-Python interface.
 
 Configuring the Run
 -------------------

From f5be0c4b62b3793ab6d623e0d9ce69992718dbe3 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:41:50 -0500
Subject: [PATCH 12/18] Update submission scripts docs add note

---
 docs/platforms/example_scripts.rst            | 43 +++++++++++--------
 .../submit_perlmutter.sh                      |  3 +-
 2 files changed, 26 insertions(+), 20 deletions(-)

diff --git a/docs/platforms/example_scripts.rst b/docs/platforms/example_scripts.rst
index 3f63524520..93ab2a5cfd 100644
--- a/docs/platforms/example_scripts.rst
+++ b/docs/platforms/example_scripts.rst
@@ -2,8 +2,22 @@ Example Scheduler Submission Scripts
 ====================================
 
 Below are example submission scripts used to configure and launch libEnsemble
-on a variety of high-powered systems. See :ref:`here<platform-index>` for more
-information about the respective systems and configuration.
+on a variety of high-powered systems. See :ref:`Running on HPC Systems<platform-index>`
+for more information about the respective systems and configuration.
+
+.. note::
+    It is **highly recommended** that the directive lines (e.g., #SBATCH) in batch
+    submission scripts do **NOT** specify  processor, task, or GPU configuration info
+    --- these lines should only specify the number of nodes required.
+
+    For example, do not specify ``#SBATCH --gpus-per-node=4`` in order to use four
+    GPUs on the node, when each worker may use less than this, as this may assign
+    all of the GPUs to a single MPI invocation. Instead,  the configuration should
+    be supplied either
+    :doc:`in the simulation function<../examples/sim_funcs/forces_simf_gpu>`
+    or, if using dynamic resources,
+    :doc:`in the generator<../examples/sim_funcs/forces_simf_gpu_vary_resources>`.
+
 
 General examples
 ----------------
@@ -55,22 +69,22 @@ System Examples
         :caption: /examples/libE_submission_scripts/submit_pbs_polaris.sh
         :language: bash
 
-.. dropdown:: Bridges - Central Mode
+.. dropdown:: Bebop - Central Mode
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/bridges_submit_slurm_central.sh
-        :caption: /examples/libE_submission_scripts/bridges_submit_slurm_central.sh
+    ..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_pbs_central.sh
+        :caption: /examples/libE_submission_scripts/bebop_submit_pbs_central.sh
         :language: bash
 
-.. dropdown:: Bebop - Central Mode
+.. dropdown:: Bridges - MPI / Central Mode
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_slurm_central.sh
-        :caption: /examples/libE_submission_scripts/bebop_submit_slurm_central.sh
+    ..  literalinclude:: ../../examples/libE_submission_scripts/bridges_submit_slurm_central.sh
+        :caption: /examples/libE_submission_scripts/bridges_submit_slurm_central.sh
         :language: bash
 
-.. dropdown:: Bebop - Distributed Mode
+.. dropdown:: SLURM - MPI / Distributed Mode (co-locate workers & MPI applications)
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_pbs_distrib.sh
-        :caption: /examples/libE_submission_scripts/bebop_submit_pbs_distrib.sh
+    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_distrib_mpi4py.sh
+        :caption: /examples/libE_submission_scripts/submit_distrib_mpi4py.sh
         :language: bash
 
 .. dropdown:: Summit (Decommissioned) - On Launch Nodes with Multiprocessing
@@ -78,10 +92,3 @@ System Examples
     ..  literalinclude:: ../../examples/libE_submission_scripts/summit_submit_mproc.sh
         :caption: /examples/libE_submission_scripts/summit_submit_mproc.sh
         :language: bash
-
-.. dropdown:: Cobalt - Intermediate node with Multiprocessing
-
-    .. literalinclude:: ../../examples/libE_submission_scripts/cobalt_submit_mproc.sh
-        :caption: /examples/libE_submission_scripts/cobalt_submit_mproc.sh
-        :language: bash
-
diff --git a/examples/libE_submission_scripts/submit_perlmutter.sh b/examples/libE_submission_scripts/submit_perlmutter.sh
index ae34d39e56..8a029761ab 100644
--- a/examples/libE_submission_scripts/submit_perlmutter.sh
+++ b/examples/libE_submission_scripts/submit_perlmutter.sh
@@ -7,10 +7,9 @@
 
 # This script is using GPU partition
 export MPICH_GPU_SUPPORT_ENABLED=1
-export SLURM_EXACT=1
 
 # One worker for generator and 4 for sims (one GPU each)
 python libe_calling_script.py -n 5
 
 # Or if libE_specs option gen_on_manager=True
-python libe_calling_script.py -n 4
+# python libe_calling_script.py -n 4

From df38474ad7ef52ee42324220b0057c1511cc677e Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:56:35 -0500
Subject: [PATCH 13/18] Comment out fallback lines

---
 examples/libE_submission_scripts/submit_distrib_mpi4py.sh | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/examples/libE_submission_scripts/submit_distrib_mpi4py.sh b/examples/libE_submission_scripts/submit_distrib_mpi4py.sh
index d696c1dfa6..2d15c07abb 100644
--- a/examples/libE_submission_scripts/submit_distrib_mpi4py.sh
+++ b/examples/libE_submission_scripts/submit_distrib_mpi4py.sh
@@ -20,10 +20,11 @@ export NUM_WORKERS=4
 export MANAGER_NODE=false # true = Manager has a dedicated node (assign one extra)
 export USE_NODE_LIST=true # If false, allow libE to determine node_list from environment.
 
+# Sometimes may be necessary
 # As libE shares nodes with user applications allow fallback if contexts overrun.
-unset I_MPI_FABRICS
-export I_MPI_FABRICS_LIST=tmi,tcp
-export I_MPI_FALLBACK=1
+# unset I_MPI_FABRICS
+# export I_MPI_FABRICS_LIST=tmi,tcp
+# export I_MPI_FALLBACK=1
 
 # If using in calling script (After N mins manager kills workers and exits cleanly)
 export LIBE_WALLCLOCK=55

From ac9bae32abcadb07a41dc2e2444b46406ff2218f Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:57:06 -0500
Subject: [PATCH 14/18] Example scripts - replace dropdowns

---
 docs/platforms/example_scripts.rst | 100 ++++++++++++++++-------------
 1 file changed, 56 insertions(+), 44 deletions(-)

diff --git a/docs/platforms/example_scripts.rst b/docs/platforms/example_scripts.rst
index 93ab2a5cfd..f26a310d0b 100644
--- a/docs/platforms/example_scripts.rst
+++ b/docs/platforms/example_scripts.rst
@@ -22,73 +22,85 @@ for more information about the respective systems and configuration.
 General examples
 ----------------
 
-.. dropdown:: Slurm - Basic
+Slurm - Basic
+^^^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_slurm_simple.sh
-        :caption: /examples/libE_submission_scripts/submit_slurm_simple.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_slurm_simple.sh
+    :caption: /examples/libE_submission_scripts/submit_slurm_simple.sh
+    :language: bash
 
-.. dropdown:: PBS - Basic
+PBS - Basic
+^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_simple.sh
-        :caption: /examples/libE_submission_scripts/submit_pbs_simple.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_simple.sh
+    :caption: /examples/libE_submission_scripts/submit_pbs_simple.sh
+    :language: bash
 
-.. dropdown:: LSF - Basic
+LSF - Basic
+^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_lsf_simple.sh
-        :caption: /examples/libE_submission_scripts/submit_lsf_simple.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_lsf_simple.sh
+    :caption: /examples/libE_submission_scripts/submit_lsf_simple.sh
+    :language: bash
 
 
 System Examples
 ---------------
 
-.. dropdown:: Aurora
+Aurora
+^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_aurora.sh
-        :caption: /examples/libE_submission_scripts/submit_pbs_aurora.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_aurora.sh
+    :caption: /examples/libE_submission_scripts/submit_pbs_aurora.sh
+    :language: bash
 
-.. dropdown:: Frontier (Large WarpX Ensemble)
+Frontier (Large WarpX Ensemble)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_frontier_large.sh
-        :caption: /examples/libE_submission_scripts/submit_frontier_large.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_frontier_large.sh
+    :caption: /examples/libE_submission_scripts/submit_frontier_large.sh
+    :language: bash
 
+Perlmutter
+^^^^^^^^^^
 
-.. dropdown:: Perlmutter
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_perlmutter.sh
+    :caption: /examples/libE_submission_scripts/submit_perlmutter.sh
+    :language: bash
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_perlmutter.sh
-        :caption: /examples/libE_submission_scripts/submit_perlmutter.sh
-        :language: bash
+Polaris
+^^^^^^^
 
-.. dropdown:: Polaris
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_polaris.sh
+    :caption: /examples/libE_submission_scripts/submit_pbs_polaris.sh
+    :language: bash
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_pbs_polaris.sh
-        :caption: /examples/libE_submission_scripts/submit_pbs_polaris.sh
-        :language: bash
+Bebop - Central Mode
+^^^^^^^^^^^^^^^^^^^^
 
-.. dropdown:: Bebop - Central Mode
+..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_pbs_central.sh
+    :caption: /examples/libE_submission_scripts/bebop_submit_pbs_central.sh
+    :language: bash
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_pbs_central.sh
-        :caption: /examples/libE_submission_scripts/bebop_submit_pbs_central.sh
-        :language: bash
+Bridges - MPI / Central Mode
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. dropdown:: Bridges - MPI / Central Mode
+..  literalinclude:: ../../examples/libE_submission_scripts/bridges_submit_slurm_central.sh
+    :caption: /examples/libE_submission_scripts/bridges_submit_slurm_central.sh
+    :language: bash
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/bridges_submit_slurm_central.sh
-        :caption: /examples/libE_submission_scripts/bridges_submit_slurm_central.sh
-        :language: bash
+.. _slurm_mpi_distributed:
 
-.. dropdown:: SLURM - MPI / Distributed Mode (co-locate workers & MPI applications)
+SLURM - MPI / Distributed Mode (co-locate workers & MPI applications)
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/submit_distrib_mpi4py.sh
-        :caption: /examples/libE_submission_scripts/submit_distrib_mpi4py.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/submit_distrib_mpi4py.sh
+    :caption: /examples/libE_submission_scripts/submit_distrib_mpi4py.sh
+    :language: bash
 
-.. dropdown:: Summit (Decommissioned) - On Launch Nodes with Multiprocessing
+Summit (Decommissioned) - On Launch Nodes with Multiprocessing
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-    ..  literalinclude:: ../../examples/libE_submission_scripts/summit_submit_mproc.sh
-        :caption: /examples/libE_submission_scripts/summit_submit_mproc.sh
-        :language: bash
+..  literalinclude:: ../../examples/libE_submission_scripts/summit_submit_mproc.sh
+    :caption: /examples/libE_submission_scripts/summit_submit_mproc.sh
+    :language: bash

From e49626cbc85be75eec149db9ff77415df3e8afa8 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:57:43 -0500
Subject: [PATCH 15/18] Link to distrib config script

---
 docs/platforms/platforms_index.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index a70ad05ee5..8d0f01fc69 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -97,14 +97,14 @@ Distributed  Running
 
 In the **distributed** approach, libEnsemble can be run using the **mpi4py**
 communicator, with workers distributed across nodes. This is most often used
-when workers run simulation code directly, via a Python interface, and may be
-run an mpirunner, for example (using an `mpich` based MPI)::
+when workers run simulation code directly, via a Python interface. The user
+script is invoked with an MPI runner, for example (using an `mpich` based MPI)::
 
     mpirun -np 4 -ppn 1 python myscript.py
 
 The distributed approach, can also be used with the executor, to co-locate workers
 with the applications they submit. To ensure workers are placed as required in this
-case, requires a careful MPI rank placement.
+case, requires :ref:`a careful MPI rank placement <slurm_mpi_distributed>`.
 
     .. image:: ../images/distributed_new_detailed.png
         :alt: distributed

From 2581de2cd7e5161b8b10f6b61635828289ed0113 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 11:59:04 -0500
Subject: [PATCH 16/18] Fix naming

---
 docs/platforms/example_scripts.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/platforms/example_scripts.rst b/docs/platforms/example_scripts.rst
index f26a310d0b..072cc65f22 100644
--- a/docs/platforms/example_scripts.rst
+++ b/docs/platforms/example_scripts.rst
@@ -75,8 +75,8 @@ Polaris
     :caption: /examples/libE_submission_scripts/submit_pbs_polaris.sh
     :language: bash
 
-Bebop - Central Mode
-^^^^^^^^^^^^^^^^^^^^
+Bebop
+^^^^^
 
 ..  literalinclude:: ../../examples/libE_submission_scripts/bebop_submit_pbs_central.sh
     :caption: /examples/libE_submission_scripts/bebop_submit_pbs_central.sh

From 6691a9f7700a7de475c8f08e1d502a4266fabbe0 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 12:10:16 -0500
Subject: [PATCH 17/18] Minor reformatting

---
 docs/platforms/platforms_index.rst | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 8d0f01fc69..1b682480dd 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -5,22 +5,26 @@ Running on HPC Systems
 
 libEnsemble has been tested on systems of highly varying scales, from laptops to
 thousands of compute nodes. On multi-node systems, there are a few alternative
-ways of configuring libEnsemble to run and launch tasks (i.e., user applications) on
-the available nodes.
+ways of configuring libEnsemble to run and launch tasks (i.e., user applications)
+on the available nodes.
 
 The :doc:`Forces tutorial <../../tutorials/executor_forces_tutorial>` gives an
 example with a simple MPI application.
 
+Note that while the diagrams below show one application being run per node,
+configurations with **multiple nodes per worker** or **multiple workers per node**
+are both common use cases.
+
 Centralized Running
 -------------------
 
 The default communications scheme places the manager and workers on the first node.
 The :doc:`MPI Executor<../executor/mpi_executor>` can then be invoked by each
 simulation worker, and libEnsemble will distribute user applications across the
-node allocation. This is the most common approach where each simulation
+node allocation. This is the **most common approach** where each simulation
 runs an MPI application.
 
-The generator will run on one worker by default, but if running a single generator,
+The generator will run on a worker by default, but if running a single generator,
 the :ref:`libE_specs<datastruct-libe-specs>` option **gen_on_manager** is recommended,
 which runs the generator on the manager (using a thread) as below.
 
@@ -89,9 +93,6 @@ remaining nodes in the allocation.
 
 Note that **gen_on_manager** is not set in the above example.
 
-Note that while these diagrams show one application being run per node, configurations
-with **multiple nodes per worker** or **multiple workers per node** are both common use cases.
-
 Distributed  Running
 --------------------
 

From 97e6fdbc1d788f70f806938b9c42f33f9e00bbf8 Mon Sep 17 00:00:00 2001
From: shudson <shudson@anl.gov>
Date: Mon, 7 Apr 2025 13:46:34 -0500
Subject: [PATCH 18/18] Add num_resource_sets setting to example

---
 docs/platforms/platforms_index.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/platforms/platforms_index.rst b/docs/platforms/platforms_index.rst
index 1b682480dd..c56ab66aa9 100644
--- a/docs/platforms/platforms_index.rst
+++ b/docs/platforms/platforms_index.rst
@@ -78,6 +78,7 @@ remaining nodes in the allocation.
           :linenos:
 
           ensemble.libE_specs = LibeSpecs(
+              num_resource_sets=2,
               dedicated_mode=True,
           )