Update README.md

README.md

@@ -5,6 +5,7 @@ Welcome to CARP-S!
 This repository contains a benchmarking framework for optimizers.
 It allows flexibly combining optimizers and benchmarks via a simple interface, and logging experiment results 
 and trajectories to a database.
+carps can launch experiment runs in parallel by using [hydra](https://hydra.cc), which offers launchers for slurm/submitit, Ray, RQ, and joblib.
 
 The main topics of this README are:
 - [Installation](#installation)
@@ -121,17 +122,6 @@ You can run a certain problem and optimizer combination directly with Hydra via:
 python -m carps.run +problem=... +optimizer=... seed=... -m
 ```
 
-Another option is to fill the database with all possible combinations of problems and optimizers
-you would like to run:
-```bash
-python -m carps.container.create_cluster_configs +problem=... +optimizer=... -m
-```
-
-Then, run them from the database with:
-```bash
-python -m carps.run_from_db 
-```
-
 To check whether any runs are missing, you can use the following command. It will create
 a file `runcommands_missing.sh` containing the missing runs:
 ```bash
@@ -151,6 +141,18 @@ Experiments with error status (or any other status) can be reset via:
 python -m carps.utils.database.reset_experiments
 ```
 
+### Running with Containers and Database
+Another option is to fill the database with all possible combinations of problems and optimizers
+you would like to run:
+```bash
+python -m carps.container.create_cluster_configs +problem=... +optimizer=... -m
+```
+
+Then, run them from the database with:
+```bash
+python -m carps.run_from_db 
+```
+
 ## Adding a new Optimizer or Benchmark
 For instructions on how to add a new optimizer or benchmark, please refer to the contributing 
 guidelines for 
@@ -170,4 +172,4 @@ For each scenario (blackbox, multi-fidelity, multi-objective and multi-fidelity-
 Here we provide the link to the [meta data](https://drive.google.com/file/d/17pn48ragmWsyRC39sInsh2fEPUHP3BRT/view?usp=sharing) 
 that contains the detailed optimization setting for each run  
 and the [running results](https://drive.google.com/file/d/1yzJRbwRvdLbpZ9SdQN2Vk3yQSdDP_vck/view?usp=drive_link) that 
-records the running results of each optimization-benchmark combination. 
+records the running results of each optimization-benchmark combination.