Show HN: Jevopt: Making intelligent compiler optimisation decisions with Jev

AI Digest

Jevopt是结合Clang优化器与Jev的C/C++编译器驱动，通过LLVM IR和源码结构智能决策函数内联，支持Linux平台和LLVM 21工具链，提供验证对比和可视化分析功能。

Jevopt integrates Clang optimizer with Jev for intelligent C/C++ compilation decisions, supporting Linux and LLVM 21 with validation and dashboard analysis capabilities.

Key points

• Jevopt通过LLVM IR、源码和构建上下文动态决策函数内联 Jevopt dynamically decides function inlining using LLVM IR, source code, and build context
• 需Python 3.12+、LLVM 21工具链及CMake等环境依赖 Requires Python 3.12+, LLVM 21 toolchain, and CMake dependencies
• 提供二进制验证对比和实验数据可视化仪表盘 Offers binary validation comparison and experimental dashboard visualization
• 支持LLVM ML指导优化但不兼容LTO链接 Supports LLVM ML-guided optimization but excludes LTO linking
• 包含Embench基准测试数据和可复现实验流程 Includes Embench benchmark data and reproducible experiment workflow

Takeaway: Jevopt通过机器学习增强编译优化决策，为性能敏感场景提供可验证的代码优化方案。 / Jevopt enhances compiler optimization with machine learning, offering verifiable code performance improvements for critical applications.

Why it matters 展示机器学习与编译器优化的创新结合，为性能调优提供可验证的实验框架。