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EMEP is structured as a three-level architecture. Level 1 presents five executive blocks for stakeholders. Level 2 decomposes those blocks into services, engines, registries, and stores. Level 3 exposes the internal class structure of TensorEngine and EvolutionEngine. This page maps every level to implementation phases and cross-references related specifications.

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Level 1: Executive Architecture

Five top-level blocks define the platform boundary.

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Level 2: Logical Architecture

The executive blocks decompose into 16 internal abstractions plus interfaces. Services and engines: ModelLoader, ModelCompatibilityAnalyzer, TensorEngine, MergeEngine, CandidateGenerator, EvolutionEngine, EvaluationEngine, BenchmarkEngine, FitnessEngine, QuantizationEngine, InferenceBackend, DeploymentManager. Registries and stores: ModelRegistry, DatasetRegistry, ArtifactStore, ExperimentTracker. Interfaces: API server, CLI, configuration layer.

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Level 3: Internal Component Architecture

TensorEngine and EvolutionEngine expose internal class-like structures. TensorEngine owns tensor loading, shape validation, dtype normalization, and dispatch to merge strategies. EvolutionEngine owns population state, genome representation, mutation, crossover, selection, and fitness evaluation orchestration.