Update README.md

README.md

@@ -76,11 +76,11 @@ Reveal consists of time-series telemetry, derived features, and automatically la
 - `host_id`: host or node identifier  
 - `metric_name`: name of the measured counter  
 - `value`: recorded numeric value  
-- `subsystem`: {CPU, GPU, Memory, Network, Storage}  
+- `subsystem`: {CPU, *GPU (if supported by the underlying infrastructure), Memory, Network, Storage}  
 
 **Additional Notes**
 
-A complete list of metrics and their descriptions can be found in `MetricDescription.md`.
+A complete list of metrics and their descriptions can be found in `MetricDescriptionCPU.md` and `MetricDescriptionGPU.md`.
 
 After downloading and extracting the dataset zip, place the `meta.csv` file and the `example Jupyter notebooks` inside the `Reveal/` directory before running.
 
@@ -98,14 +98,15 @@ Modern ML workloads are complex and opaque to operators due to virtualization an
 
 - Collected using: `perf`, `procfs`, `nvidia-smi`, and standard Linux utilities  
 - Sampling interval: 100 ms  
-- ~150 raw metric types per host, expanded to ~700 time-series channels   
+- ~150 raw metric types per host, expanded to ~700 time-series channels, including metrics related to GPUs. 
 
 #### Workloads and Systems
 
 - **Workloads:** >30 ML applications (BERT, BART, ResNet, ViT, VGG, DeepSeek, LLaMA, Mistral)  
 - **Datasets:** GLUE/SST2, WikiSQL, PASCAL VOC, CIFAR, MNIST  
 - **Systems:**  
-  - Dual-node GPU HPC cluster (NVIDIA V100 & H100, Intel Xeon CPUs, InfiniBand HDR100)  
+  - Dual-node GPU HPC cluster: Two nodes, each with two NVIDIA V100 GPUs (32 GB), an Intel Xeon Platinum 8628 CPU (48 cores), 384 GB memory, connected through InfiniBand HDR100. Packaged as `Reveal.zip`.
+  - Nine-node CPU cluster: Nine servers, each running 11 Apptainer containers (four threads and 20 GB memory per container), powered by AMD EPYC 7443P CPUs. Packaged as `RevealCPURun<n>.zip`.
 
 #### Who are the data producers?