Update trouble_shooting.md

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. 
+executorlib.