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EMEP architecture is documented at three levels of abstraction plus six specialized topology views. This page provides the Mermaid source for each diagram with a brief caption explaining its purpose.

Level 1: Executive Architecture

Caption: The executive view shows EMEP as a black box between external model sources and released artifacts. Three internal layers handle interface, orchestration, and core processing.

Level 2: Logical Architecture

Caption: The logical architecture maps all 16 core components into four groups. Arrows indicate runtime invocation direction. ExperimentTracker is the central hub.

Level 3: TensorEngine Internals

Caption: TensorEngine decomposes into seven primitive operations. The exact path through the engine depends on the MergeStrategy selected in the merge config.

Level 3: EvolutionEngine Internals

Caption: EvolutionEngine orchestrates the iterative search loop. It calls MergeEngine to realize genomes and FitnessEngine to score candidates. Diversity enforcement and Pareto front updates prevent premature convergence.

Runtime Topology

Caption: The runtime topology separates control, compute, and storage. GPU workers handle tensor-intensive operations. CPU workers manage registry and metadata. The scheduler assigns jobs based on resource availability.

Storage Tiers

Caption: Four storage tiers manage cost and access latency. Hot tier holds weights for active merges. Warm tier retains recent candidates. Cold tier archives completed experiments. Backup tier is for disaster recovery.

GPU Topology

Caption: GPU nodes are paired A100s with NVLink intra-node and InfiniBand inter-node. Large model merges may require cross-node tensor sharding.

Trust Boundary

Caption: The trust boundary separates external untrusted traffic from the core engine. Authentication sits in the DMZ. Signing keys and audit logs are in the secure zone, accessible only to the core engine.

Model Supply Chain

Caption: The model supply chain sequence shows every step from external download to registered, signed artifact. Each transition is logged and signed.

Deployment Topology

Caption: Deployment flows from build through staging validation to production serving. Failed validation returns to quantization for adjustment. Production nodes are monitored for health and latency.

Next Steps

See Algorithm Flowchart Index for the standardized algorithm template, or System Architecture for the prose specification of these views.