PowerTransientScenario
Sustainability scenarios · Implementation: mlsysim/engine/scenario_definitions/sustainability.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A barrier-aligned load step on hardware and across n_devices.
Notes
Equation: Compose mlsysim.solvers.PowerTransientModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.PowerTransientModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.PowerTransientModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.PowerTransientModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.H100BarrierLoadStep
>>> type(case.result).__name__
'PowerTransientResult'Attributes
| Name | Description |
|---|---|
| hardware | |
| loop_inductance | |
| low_power | |
| n_devices | |
| rail_voltage | |
| ramp_window | |
| result | Evaluate this scenario through mlsysim.solvers.PowerTransientModel.solve. Equation: |
| rise_times |
hardware
Type: HardwareNode.
Declared default: required.
low_power
Type: Quantity.
Declared default: required.
rail_voltage
Type: Quantity.
Declared default: required.
loop_inductance
Type: Quantity.
Declared default: required.
rise_times
Type: Dict[str, Quantity].
Declared default: required.
n_devices
Type: int.
Declared default: required.
ramp_window
Type: Quantity.
Declared default: required.
result
engine.scenario_types.PowerTransientScenario.result
Evaluate this scenario through mlsysim.solvers.PowerTransientModel.solve. Equation: pass the stated fields to that implementation; its contract defines the calculation and feasibility tests. Units: each returned field follows the referenced result schema; no independent equation is evaluated by this wrapper.