Specifically for the nominated auditing selection procedure. To prevent misleading information during the nominated auditing selection procedure, it's essential to prioritize transparency and accuracy in the data provided. An issue arose where a significant performance difference of over 20% for L40S was mentioned without specifying the comparison context. This lack of specificity resulted in a mistake during the auditing process, where the comparison inadvertently paired top results with outlier low results. Consequently, this led to voters making decisions based on incorrect information.
To address this, we propose using a table format similar to the one below to provide relevant data along with the nomination:
Specifically for the nominated auditing selection procedure. To prevent misleading information during the nominated auditing selection procedure, it's essential to prioritize transparency and accuracy in the data provided. An issue arose where a significant performance difference of over 20% for L40S was mentioned without specifying the comparison context. This lack of specificity resulted in a mistake during the auditing process, where the comparison inadvertently paired top results with outlier low results. Consequently, this led to voters making decisions based on incorrect information.
To address this, we propose using a table format similar to the one below to provide relevant data along with the nomination:
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| | | | resnet | | -- | -- | -- | -- | -- | -- | -- | | | | Server | Offline | ID | Submitter | System | Availability | Queries/s | Samples/s | Reason for nomination 4.0-0028 | Dell | Dell PowerEdge R760xa (4x L40S, TensorRT) | available | 179,615.00 | 175,746.00 | Pre-GPU performance is XYZ faster than 4.0-0029 4.0-0029 | Dell | Dell PowerEdge R7615 (2x L40S, TensorRT) | available | 90,571.10 | 88,893.10 | … | | | | | |