dial-workshop-data / nodes /vavvi2-1 /protocol /dial_compute_amendment.json
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{
"schema_version": 1,
"study_id": "dial_lexical_differentiation_v1",
"amendment_id": "throughput_balanced_node_allocation_v1",
"amended_at_utc": "2026-07-19T22:18:09Z",
"parent_protocol_sha256": "a2ef8e278f04f36f5d087adc6c5ef520d4bff99c61ce24a90a23bd46c1f4033d",
"fixed_compute_deadline_utc": "2026-07-20T09:14:38Z",
"decision_reads_outcomes": false,
"reason": "The frozen concurrent smoke test found a 4.3x node throughput difference. A condition-per-node allocation would miss the deadline and confound condition with node. Rebalance complete model lineages by GPU using only smoke throughput.",
"discarded_attempt": {
"output": "/home/cc/dial_workshop_v1_r2",
"status": "aborted_after_terminal_decision_before_first_checkpoint",
"outcomes_accessed": false,
"sealed_checkpoints": 0,
"reusable_as_scientific_lineage": false
},
"terminal_exposure_words": 30000000,
"terminal_rule": "Unchanged frozen fallback because predicted 40M wall time was 37.55641109446214 hours, above 8.5 hours.",
"observed_smoke_words_per_second": {
"vavvi": [3910.452101841439, 3977.6962184674776],
"vavvi2-1": [3859.1611095981248, 3967.6360095898153],
"vavvi2-2": [887.5537454708626, 900.89225248373]
},
"allocation": {
"vavvi": {
"gpu0": [
"dial_aligned_s1",
"dial_shared_s2",
"dial_shuffled_s3",
"dial_shuffled_s4"
],
"gpu1": [
"dial_aligned_s2",
"dial_aligned_s3",
"dial_shared_s4",
"dial_shuffled_s5"
]
},
"vavvi2-1": {
"gpu0": [
"dial_aligned_s4",
"dial_shared_s5",
"dial_shuffled_s0",
"dial_shuffled_s1"
],
"gpu1": [
"dial_aligned_s5",
"dial_shared_s0",
"dial_shared_s3",
"dial_shuffled_s2"
]
},
"vavvi2-2": {
"gpu0": ["dial_aligned_s0"],
"gpu1": ["dial_shared_s1"]
}
},
"conservative_predicted_training_hours_by_gpu": {
"vavvi.gpu0": 8.524163566,
"vavvi.gpu1": 8.380060091,
"vavvi2-1.gpu0": 8.637455754,
"vavvi2-1.gpu1": 8.401308299,
"vavvi2-2.gpu0": 9.389102774,
"vavvi2-2.gpu1": 9.250088798
},
"invariants": [
"All 18 condition-by-seed cells remain present exactly once.",
"Every GPU trains complete lineages; no lineage migrates or resumes across nodes.",
"Every fast GPU sees all three conditions, reducing condition-by-node coupling.",
"The corpus, tokenizer, priors, initialization, optimizer, schedule, checkpoints, gates and analyses remain unchanged.",
"No training loss, benchmark, mechanism, AoA or reading result informed this amendment.",
"Outcome access remains blocked until the exact 18-lineage union is sealed."
]
}