power
zeus.monitor.power
Monitor the power usage of GPUs.
PowerDomain
Bases: Enum
Power measurement domains with different update characteristics.
Source code in zeus/monitor/power.py
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PowerSample
dataclass
A single power measurement sample.
Source code in zeus/monitor/power.py
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PowerMonitor
Enhanced PowerMonitor with multiple power domains and timeline export.
This class provides: 1. Multiple power domains: device instant, device average, and memory average 2. Timeline export with independent deduplication per domain 3. Separate processes for each power domain (2-3 processes depending on GPU support) 4. Backward compatibility with existing PowerMonitor interface
Note
The current implementation only supports cases where all GPUs are homegeneous (i.e., the same model).
Warning
Since the monitor spawns child processes, it should not be instantiated as a global variable. Refer to the "Safe importing of main module" section in the Python documentation for more details.
Source code in zeus/monitor/power.py
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__init__
__init__(
gpu_indices=None,
update_period=None,
max_samples_per_gpu=None,
)
Parameters:
Name | Type | Description | Default |
---|---|---|---|
gpu_indices |
list[int] | None
|
Indices of the GPUs to monitor. If None, monitor all GPUs. |
None
|
update_period |
float | None
|
Update period of the power monitor in seconds. If None, infer the update period by max speed polling the power counter for each GPU model. |
None
|
max_samples_per_gpu |
int | None
|
Maximum number of power samples to keep per GPU per domain in memory. If None (default), unlimited samples are kept. |
None
|
Source code in zeus/monitor/power.py
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_determine_supported_domains
_determine_supported_domains()
Determine which power domains are supported by the current GPUs.
Source code in zeus/monitor/power.py
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_stop
_stop()
Stop all monitoring processes.
Source code in zeus/monitor/power.py
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_process_queue_data
_process_queue_data(domain)
Process all pending samples from a specific domain's queue.
Source code in zeus/monitor/power.py
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_process_all_queue_data
_process_all_queue_data()
Process all pending samples from all domain queues.
Source code in zeus/monitor/power.py
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get_power_timeline
get_power_timeline(
power_domain,
gpu_index=None,
start_time=None,
end_time=None,
)
Get power timeline for specific power domain and GPU(s).
Parameters:
Name | Type | Description | Default |
---|---|---|---|
power_domain |
PowerDomain
|
Power domain to query |
required |
gpu_index |
int | None
|
Specific GPU index, or None for all GPUs |
None
|
start_time |
float | None
|
Start time filter (unix timestamp) |
None
|
end_time |
float | None
|
End time filter (unix timestamp) |
None
|
Returns:
Type | Description |
---|---|
dict[int, list[tuple[float, float]]]
|
Dictionary mapping GPU indices to timeline data with deduplication. |
dict[int, list[tuple[float, float]]]
|
Timeline data is list of (timestamp, power_watts) tuples. |
Source code in zeus/monitor/power.py
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get_all_power_timelines
get_all_power_timelines(
gpu_index=None, start_time=None, end_time=None
)
Get all power timelines organized by power domain.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
gpu_index |
int | None
|
Specific GPU index, or None for all GPUs |
None
|
start_time |
float | None
|
Start time filter (unix timestamp) |
None
|
end_time |
float | None
|
End time filter (unix timestamp) |
None
|
Returns:
Type | Description |
---|---|
dict[str, dict[int, list[tuple[float, float]]]]
|
Dictionary with power domain names as keys and each value is a dict |
dict[str, dict[int, list[tuple[float, float]]]]
|
mapping GPU indices to timeline data. |
Source code in zeus/monitor/power.py
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get_energy
get_energy(start_time, end_time)
Get the energy used by the GPUs between two times (backward compatibility).
Uses device instant power for energy calculation.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
start_time |
float
|
Start time of the interval, from time.time(). |
required |
end_time |
float
|
End time of the interval, from time.time(). |
required |
Returns:
Type | Description |
---|---|
dict[int, float] | None
|
A dictionary mapping GPU indices to the energy used by the GPU between the |
dict[int, float] | None
|
two times. If there are no power readings, return None. |
Source code in zeus/monitor/power.py
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get_power
get_power(time=None)
Get the instant power usage of the GPUs at a specific time point.
Uses device instant power for compatibility.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
time |
float | None
|
Time point to get the power usage at. If None, get the power usage at the last recorded time point. |
None
|
Returns:
Type | Description |
---|---|
dict[int, float] | None
|
A dictionary mapping GPU indices to the power usage of the GPU at the |
dict[int, float] | None
|
specified time point. If there are no power readings, return None. |
Source code in zeus/monitor/power.py
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infer_counter_update_period
infer_counter_update_period(gpu_indicies)
Infer the update period of the NVML power counter.
NVML counters can update as slow as 10 Hz depending on the GPU model, so there's no need to poll them too faster than that. This function infers the update period for each unique GPU model and selects the fastest-updating period detected. Then, it returns half the period to ensure that the counter is polled at least twice per update period.
Source code in zeus/monitor/power.py
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_infer_counter_update_period_single
_infer_counter_update_period_single(gpu_index)
Infer the update period of the NVML power counter for a single GPU.
Source code in zeus/monitor/power.py
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_domain_polling_process
_domain_polling_process(
power_domain,
gpu_indices,
data_queue,
ready_event,
stop_event,
update_period,
)
Polling process for a specific power domain with deduplication.
Source code in zeus/monitor/power.py
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