This repository contains reproducible benchmarks demonstrating the performance impact of modernizing Legacy C++ codebases.
We use these benchmarks to validate architectural decisions for High-Frequency Trading (HFT) and Embedded Computer Vision projects.
"Fast" is not an opinion. It is a measurement. We compare idiomatic "Legacy" C++ (typical of C++98/11 codebases) against "Modern" C++20/23 patterns to quantify the benefits of modernization—specifically focusing on P99 Latency and Memory Fragmentation.
| Case Study | Focus | Legacy Approach | Modern Approach (C++20) | Result |
|---|---|---|---|---|
| 01. Malloc Latency | P99 Latency | Heap Allocation (std::vector) |
Stack Arena (std::pmr) |
1.4x Faster |
All benchmarks use Google Benchmark. The build system automatically fetches dependencies.
git clone [https://github.com/cahillmeyer/ccm-modern-cpp-benchmarks.git](https://github.com/cahillmeyer/ccm-modern-cpp-benchmarks.git)
cd ccm-modern-cpp-benchmarks/01-malloc-latency
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
./bench_malloc_vs_pmr"Fast" is a measurement, not an opinion. If your system requires deterministic, high-throughput performance—whether in High-Frequency Trading or Embedded Computer Vision—your choice of C++ patterns matters.
CCMCode helps engineering teams identify and eliminate these bottlenecks.
I help engineering teams identify and eliminate bottlenecks in latency-critical systems.
- Need a Performance Audit? I offer one-time Architecture Reviews to analyze your legacy C++ codebase. Book via GitHub Sponsors
- Support the Data: Sponsor monthly to fund new benchmark scenarios.
- Enterprise Modernization: For full-scale refactoring projects, contact info@ccmcode.dev.
Contact CCM Code | High-Performance C++ Engineering.