Arcology - Parallel Execution - Unlimited Throughput

on YouTube ↗19m

" summary

Arcology claims near-unlimited scalability by running transactions side-by-side across execution units and a conflict detector that commits only non‑conflicting results, with claimed speedups of “hundreds to thousands” when contracts use its concurrency library. Demonstrations include cumulative variables, concurrent containers, and a multiprocessor for spawning EVM instances, a local DevNet via Docker (requires ~4 cores, 16 GB RAM, 100 GB disk), benchmark scripts, and a parallelized Uniswap V3 using an off‑chain netting layer to eliminate front‑running.

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" chapters (26)

1. 0:00Start
2. 0:10Introduction: What is Arcology
3. 0:31Why scalability matters for blockchain adoption
4. 1:20Financial systems & the need for high throughput
5. 1:42How Arcology enables parallel execution
6. 2:34EVM equivalence + developer tools for concurrency
7. 2:56Inside the execution system: scheduler, execution units, caches
8. 3:47Conflict detector & dual storage system explained
9. 4:41Contract parallelization: why it’s needed
10. 5:47Concurrency problem & deterministic constraints
11. 6:12Arcology’s concurrent library overview
12. 7:01Core tools: cumulative variables, concurrent containers, multiprocessor
13. 7:56Documentation & developer resources overview
14. 9:06Hands-on: cumulative integers, concurrent arrays, concurrent maps
15. 9:58Hybrid containers & deterministic concurrency
16. 10:31Setting up Arcology DevNet (Node, Yarn, Docker)
17. 11:22Pulling & running the DevNet container
18. 12:23Checking the network monitor
19. 12:50Cloning sample repos & configuration setup
20. 14:26Testing & deploying a concurrent contract
21. 15:21Benchmarking multi-threaded performance
22. 16:02Example: the “like counter” contract
23. 16:30Parallel increments & thread-safe cumulative counters
24. 17:19Advanced example: parallelized Uniswap V3
25. 17:40Netting layer & slippage/front-running prevention
26. 18:03Hybrid AMM + order book design

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