@@ -69,10 +69,10 @@ The primary figure of merit for the ML4NSE (defined in detail in https://doi.org
An additional potential figure of merit that could demonstrate the robustness of the system would include any active guidance between the Compute and Services Clusters; the latency involved in control operations becomes crucial. Specifically, it's essential to assess the duration a compute job is held while disseminating new control information. Also, as additional input streams and output consumers are added, the effect on end-to-end time-to-solution could be affected.
| Dimension | # Nodes | Sending Transfer Rate | Avg. Receiving Transfer Rate (per rank) | Execution Time |
| ------ | ------ | ------ | ------ | ------ |
| 16 x 16 x 16 | 9 | 62.79 Gbps | 10.43 Mbps | 874.03s |
| 32 x 32 x 32 | 9 | 68.68 Gbps | 125.72 Mbps | 883.70 |
| 32 x 32 x 32 | 72 | 67.17 Gbps | 60.26 Mbps | 1077.95 |
| 64 x 64 x 64 | 9 | 62.17 Gbps | 555.57 Mbps | 893.30 |
| 64 x 64 x 64 | 72 | | |
| Dataset | Dimension | # Nodes | Sending Transfer Rate | Avg. Receiving Transfer Rate (per rank) | Execution Time |