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25 lines
1.1 KiB
TOML
25 lines
1.1 KiB
TOML
# Mining-rate benchmark: measure the whole-machine token mint rate vs difficulty,
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# using the fastest solver (the open-network case). Isolated so it can be run
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# alone under idle conditions:
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# python -m equix_bench run --config configs/mining.toml --out results/mining
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[run]
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impls = ["equix-rust"]
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[crosscheck]
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enabled = false
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[mining]
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enabled = true
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impls = ["equix-rust"] # everyone in an open network uses the fastest solver
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challenge_base = "abcd"
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# Expected attempts per token grow ~linearly with effort (measured ≈0.3-0.5·E,
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# with several solutions per solve attempt each drawing an effort value), so a
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# token at high E is genuinely expensive to mint AND to average. We measure a
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# 100→3000 curve (30× span, enough to show the ~1/E trend) and extrapolate.
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efforts = [100, 300, 1000, 3000]
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samples = 10 # independent 1-core mints per difficulty (distinct nonces)
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workers = 0 # 0 = all cores, for the whole-machine rate
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tokens_per_worker = 5 # tokens each concurrent worker streams (averages nonce variance)
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nonce_bytes = 8
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max_attempts = 1500000
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