yongkangc

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yongkangc

Multiproof Chunk Size Benchmark Sweep

Tested 8 chunk sizes (15, 30, 60, 75, 100, 120, 160, 240) across 4 gas levels (10M, 20M, 30M, 40M).

• Branch: yk/storage-tries-prune-retain
• Unwind target block: 24463558
• Binary: /home/ubuntu/reth/target/maxperf-symbols/reth
• Machine: dev-yk
• Date: 2026-02-16
• Method: warmup pass (discarded) + measured pass per chunk/gas combo

yongkangc

Multiproof Chunk Size Benchmark Report

Date: 2026-02-16
Commit: f5cf90227b (reth main)
Machine: dev box, 7.8TB NVMe, multi-core
Payload: 345 blocks × ~10M gas each (blocks 24,463,559–24,463,903), gas_limit=60M
Method: reth-bench replay-payloads with --wait-for-persistence --wait-time 400ms

What was tested

yongkangc

yongkangc

RocksDB Parameter Tuning - 3-Run Average Results

Executive Summary

After running each configuration 3 times for statistical significance, the baseline configuration performs best for this workload. The tuned configurations show regressions, not improvements.

Performance Summary (3-run average)

Config	Ggas/s	p50 (ms)	p90 (ms)	p99 (ms)

yongkangc

Market Maker Spread Tightening

flowchart LR
    subgraph before["Before MM Enters"]
        direction TB
        B1["Best Bid: $0.45"]
        A1["Best Ask: $0.70"]
        S1["Spread: $0.25 (25%)"]
 end

yongkangc

Parameter Sweep Report - 2 Hour Backtest

Date: 2026-01-30
Time Window: Last 2 hours
Total Runs: 100

Key Findings

All Runs Unprofitable

• P&L Range: -$112.63 to -$82.21

yongkangc

Reth Sparse Trie Guide

A comprehensive guide to understanding Ethereum's Merkle Patricia Trie as implemented in reth.

Table of Contents

• Basic Trie Structure
• Nibbles
• Ethereum Keys
• Node Types
• Sparse Trie

yongkangc

Paper Trading Fill Logic - pm-mm-rs

Overview

The paper trading system simulates realistic order fills using PaperVenue which wraps MockVenue. Fills are triggered when real-time Polymarket book updates cross resting order prices.

Two Fill Types

1. Aggressive Fills (Crossing the Spread)

yongkangc

ParallelSparseTrie::prune() Parallelism Analysis

Summary

Benchmarking revealed that rayon parallelism in ParallelSparseTrie::prune() causes significant overhead without any performance benefit. The parallel path is always slower than serial, even at the maximum of 256 lower subtries.

Benchmark Results

Serial vs Parallel (forced paths)