diff --git a/docs/trouble_shooting.md b/docs/trouble_shooting.md
index ca868bcd..ec4e080f 100644
--- a/docs/trouble_shooting.md
+++ b/docs/trouble_shooting.md
@@ -31,9 +31,9 @@ performance computing installations Python 3.12 is the recommended Python verion
 
 ## Resource Dictionary
 The resource dictionary parameter `resource_dict` can contain one or more of the following options: 
-* `cores_per_worker` (int): number of MPI cores to be used for each function call
+* `cores` (int): number of MPI cores to be used for each function call
 * `threads_per_core` (int): number of OpenMP threads to be used for each function call
-* `gpus_per_worker` (int): number of GPUs per worker - defaults to 0
+* `gpus_per_core` (int): number of GPUs per worker - defaults to 0
 * `cwd` (str/None): current working directory where the parallel python task is executed
 * `openmpi_oversubscribe` (bool): adds the `--oversubscribe` command line flag (OpenMPI and SLURM only) - default False
 * `slurm_cmd_args` (list): Additional command line arguments for the srun call (SLURM only)
@@ -54,4 +54,4 @@ high performance computing (HPC) clusters via SSH, this functionality is not sup
 is the use of [cloudpickle](https://github.com/cloudpipe/cloudpickle) for serialization inside executorlib, this requires
 the same Python version and dependencies on both computer connected via SSH. As tracking those parameters is rather 
 complicated the SSH connection functionality of [pysqa](https://pysqa.readthedocs.io) is not officially supported in 
-executorlib. 
\ No newline at end of file
+executorlib. 
diff --git a/executorlib/__init__.py b/executorlib/__init__.py
index 5e9814db..70904fe6 100644
--- a/executorlib/__init__.py
+++ b/executorlib/__init__.py
@@ -35,9 +35,9 @@ class Executor:
         cache_directory (str, optional): The directory to store cache files. Defaults to "cache".
         max_cores (int): defines the number cores which can be used in parallel
         resource_dict (dict): A dictionary of resources required by the task. With the following keys:
-                              - cores_per_worker (int): number of MPI cores to be used for each function call
+                              - cores (int): number of MPI cores to be used for each function call
                               - threads_per_core (int): number of OpenMP threads to be used for each function call
-                              - gpus_per_worker (int): number of GPUs per worker - defaults to 0
+                              - gpus_per_core (int): number of GPUs per worker - defaults to 0
                               - cwd (str/None): current working directory where the parallel python task is executed
                               - openmpi_oversubscribe (bool): adds the `--oversubscribe` command line flag (OpenMPI and
                                                               SLURM only) - default False