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fix: use correct functional commitment hashes for chained fcomm demo (#…
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…1123)
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@arthurpaulino
arthurpaulino authored Feb 13, 2024
1 parent 35a17ea commit 4eed503
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4 changes: 2 additions & 2 deletions demo/chained-functional-commitment.lurk
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Expand Up @@ -25,7 +25,7 @@

;; Now let's chain another call to the new head, adding 12 to the counter.

!(chain 0x17165f98bc83b64b47c4e030ae621c94edcb10cc3bd68e9dcc5c796283bda34c 12)
!(chain 0x1d10fb6dea15a5865565d571efbcaf535750ab93ba4d9018bd6b7b803e86d986 12)

;; Now the counter is 21, and we have a new head commitment.

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;; One more time, we'll add 14 to the head commitment's internal state.

!(chain 0x2c4c9d86f79bb575a1427ead9c14cb5226b79a6339dd1f8f8dc00354da677bfa 14)
!(chain 0x1a95f14fa34e01ce6cf44b4eb419c59e8b50978618139d9314304979cad1770f 14)

;; 21 + 14 = 35, as expected.

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Benchmarks

Table of Contents

Overview

This benchmark report shows the Fibonacci GPU benchmark.
NVIDIA L4
Intel(R) Xeon(R) CPU @ 2.20GHz
32 vCPUs
125 GB RAM
Workflow run: https://github.com/lurk-lab/lurk-rs/actions/runs/7889038351

Benchmark Results

LEM Fibonacci Prove - rc = 100

ref=35a17eabda7d7cbf19f9d60e5aec8f0dc02376e0 ref=4eed503a8f44e739c592bcb1ef07301e44437d86
num-100 1.45 s (✅ 1.00x) 1.45 s (✅ 1.00x faster)
num-200 2.77 s (✅ 1.00x) 2.77 s (✅ 1.00x slower)

LEM Fibonacci Prove - rc = 600

ref=35a17eabda7d7cbf19f9d60e5aec8f0dc02376e0 ref=4eed503a8f44e739c592bcb1ef07301e44437d86
num-100 1.83 s (✅ 1.00x) 1.83 s (✅ 1.00x faster)
num-200 3.01 s (✅ 1.00x) 3.04 s (✅ 1.01x slower)

Made with criterion-table

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