Skip to main content

Performance Optimization Report

Scope​

This document details the performance optimization work performed on OpenSynaptic, including profiling results and applied optimizations.

  • File: docs/reports/PERFORMANCE_OPTIMIZATION_REPORT.md
  • Last updated: 2026-04-01
  • Focus: Performance profiling, bottleneck identification, and optimization results

Optimization Areas​

Core Pipeline​

  • Standardization throughput improvements
  • Compression efficiency gains
  • Fusion engine latency reduction

Transport Layer​

  • TCP/UDP dispatch optimization
  • Buffer management improvements
  • Connection pool tuning

Backend Selection​

  • Rscore (Rust backend) performance benchmarks vs Pycore
  • FFI overhead reduction

Practical Verification​

Use these commands to benchmark the current workspace:

pip install -e .
python -u src/main.py plugin-test --suite stress --workers 8 --total 200
python -u src/main.py benchmark

Notes​