added driver version to readme

hpc/miniprofiler/README.md

@@ -1,11 +1,11 @@
 # Nsight Tool Tutorial
-This repository contains mini applications for GPU Bootcamps.
+This repository contains mini applications for GPU Bootcamps (**Tested on NVIDIA driver 440.82**)
 
 ## Prerequisites:
 To run this tutorial you will need a machine with NVIDIA GPU.
 
 - Install the [Docker](https://docs.docker.com/get-docker/) or [Singularity](https://sylabs.io/docs/]).
-- Install Nvidia toolkit, [Nsight Systems (2020.1)](https://developer.nvidia.com/nsight-graphics-2020_1) and [compute (2019.5)](https://developer.nvidia.com/nsight-compute).
+- Install Nvidia toolkit, [Nsight Systems (latest version)](https://developer.nvidia.com/nsight-systems) and [compute (latest version)](https://developer.nvidia.com/nsight-compute).
 
 ## Creating containers
 To start with, you will have to build a Docker or Singularity container.

hpc/openacc/README.md

@@ -1,5 +1,5 @@
 # openacc-training-materials
-Training materials provided by OpenACC.org.
+Training materials provided by OpenACC.org.(**Tested on NVIDIA driver 440.82**)
 
 
 ## Running the Docker container
@@ -10,3 +10,6 @@ The code labs have been written using Jupyter notebooks and a Dockerfile has bee
 When this command is run, a student can browse to the serving machine on port 8000 using any web browser to access the labs. For instance, from if they are running on the local machine the web browser should be pointed to http://localhost:8000. The `--gpus` flag is used to enable `all` NVIDIA GPUs 
 during container runtime. The `--rm` flag is used to clean an temporary images created during the running of the container. The `-it` flag enables killing the jupyter server with `ctrl-c`. This command may be customized for your
 hosting environment.
+
+## Questions?
+Please join [OpenACC Slack Channel](https://openacclang.slack.com/messages/openaccusergroup) for questions.