PrefetchDepthScenario
Data scenarios · Implementation: mlsysim/engine/scenario_definitions/data.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
Ready batches that cover each tier’s tail read, and host memory at a safety depth.
Notes
Equation: Compose mlsysim.solvers.PrefetchDepthModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.PrefetchDepthModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.PrefetchDepthModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.PrefetchDepthModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.PrefetchDepthByTier
>>> type(case.result).__name__
'PrefetchDepthResult'Attributes
| Name | Description |
|---|---|
| batch_bytes | |
| compute_time | |
| consumers_per_node | |
| result | Evaluate this scenario through mlsysim.solvers.PrefetchDepthModel.solve. Equation: |
| safety_depth | |
| tail_latencies |
compute_time
Type: Quantity.
Declared default: required.
tail_latencies
Type: Dict[str, Quantity].
Declared default: required.
batch_bytes
Type: Quantity.
Declared default: required.
safety_depth
Type: int.
Declared default: required.
consumers_per_node
Type: int.
Declared default: required.
result
engine.scenario_types.PrefetchDepthScenario.result
Evaluate this scenario through mlsysim.solvers.PrefetchDepthModel.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.