@@ -111,7 +111,7 @@ The attribute is very similar to **node_cpu_usage_max** but instead of global ma
`NORM` - The maximum `cpu_usage` is in the tolerable range
`LOW` - The maximum `cpu_usage` is lower than expected
`LOW` - The maximum `cpu_usage` is lower than tolerable value
**Calculation**:
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@@ -129,7 +129,7 @@ The attribute is very similar to **node_cpu_usage_max** but instead of global ma
The attribute for the amount of nodes allocated for the job.
It simply divides the job into 2 categories: running on a single node and running on multiple nodes.
It simply divides the jobs into 2 categories: running on a single node and running on multiple nodes.
**Values**:
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@@ -171,9 +171,7 @@ It is `True` if the node has a high load during the interval `D`.
**Calculation**:
If during the interval `D` (300 seconds) consequent measurements of `load1` on the node exceeds the amount of cores the node has, then the value is `True`.
`False` otherwise.
If during the interval `D` (300 seconds) consequent measurements of `load1` on the node exceeds the amount of cores the node has, then the value is `True`, `False` otherwise.
## mem_swap_used
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@@ -188,3 +186,96 @@ It is `True` if there is a node where swap memory was used.
**Calculation**:
For every node check if `mem_swap_max` value is non zero. If it is non zero for any node, then set the attribute to `True`, otherwise `False`.
## gpu_job
It is `True` if the job used at least one GPU
**Values**:
`True` - if GPU was used
`False` - otherwise
**Calculation**:
For every node check if GPU was used. If used then set the attribute to `True`, otherwise `False`.
## gpu_usage_max
This attribute indicates the maximum of GPU usage among all GPUs which were running processes of the job.
**Values**:
`HIGH` - The maximum GPU usage is almost 100%
`NORM` - The maximum GPU usage is in the tolerable range
`LOW` - The maximum GPU usage is lower than tolerable value
`ZERO` - The maximum GPU usage is 0
**Calculation**:
`U` - the GPU usage of particular GPU (max 100%).
`ZERO` = if such GPU exists, that `U <= 0.5`
`LOW` = !`ZERO` & if such GPU exists, that `U < 50` holds
`NORM` = !`ZERO` & !`LOW` & such node exists, that `U < 90` holds
`HIGH` = !`ZERO` & !`LOW` & !`NORM`
## gpu_usage_min
This attribute indicates the minimum of GPU usage among all GPUs which were running processes of the job.
Similar to `gpu_usage_max` but indicates the minimum GPU usage.
**Values**:
`HIGH` - The minimum GPU usage is almost 100%
`NORM` - The minimum GPU usage is in the tolerable range
`LOW` - The minimum GPU usage is lower than tolerable value
`ZERO` - The minimum GPU usage is 0
**Calculation**:
`U` - the GPU usage of particular GPU (max 100%).
`ZERO` = if such GPU exists, that `U <= 0.5`
`LOW` = !`ZERO` & if such GPU exists, that `U < 50` holds
`NORM` = !`ZERO` & !`LOW` & such node exists, that `U < 90` holds
`HIGH` = !`ZERO` & !`LOW` & !`NORM`
## gpus_amount
The attribute for the amount of gpus used in the runtime of the job.
It simply divides the jobs into 2 categories: using a single GPU and using multiple GPUs.
**Values**:
`ONE` - if the number of GPUs equals 1
`MULT` - if the number of GPUs is greater than 1
## gpus_overcrowded_exist
It is `True` if any GPU has multiple processes running on it during the interval `D`.
**Values**:
`True` - if such GPU exists
`False` - otherwise
**Calculation**:
If during the interval `D` (1800 seconds) consequent measurements of number of processes on the GPU exceeds 1, then the value is `True`, `False` otherwise.
