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Aggregation Layer
Deterministic Reduction of Distributed Compute Results
The Aggregation Layer merges partial outputs returned by Agents into a final, deterministic result.
It enforces numerical correctness, reproducibility, and structured output formatting.
1. Responsibilities
- Merge numeric results
- Combine histograms and quantile buffers
- Reduce matrix tiles into full results
- Stitch media segments
- Validate structural constraints
- Build final API response
2. Reduction Model by Workload Type
Monte Carlo / Risk
- sum of values
- variance accumulation
- quantile estimation using streaming algorithms
BLAS / MatMul
- tile-wise merge
- deterministic floating-point ordering
- boundary correction
Climate PCA
- ensemble member averaging
- anomaly reconstruction
- PCA coefficient recombination
FFmpeg / Media
- segment concatenation
- timestamp boundary checks
- codec-level validation
3. Deterministic Behavior
Ensured by:
- strict evaluation order
- stable floating-point accumulation
- invariant quantile algorithms
- identical seed offsets
- no parallel nondeterministic reductions
This enables:
- reproducible science
- financial auditability
- insurance regulatory compliance
4. Verification Integration
Aggregation includes optional verification step:
- redundant partial shard comparison
- numeric drift tolerance checks
- histogram anomaly detection
- checksum validation (media, matrices)
If verification fails:
- shard rejected
- Agent downscored
- workload rescheduled
5. Structured Output Format
Aggregation produces normalized results:
- final values
- metadata
- diagnostics
- runtime and iteration counts
- optional human-readable summary