🎉 Release v1.0.0 - First Stable Release
Release Date: April 16, 2025
🌐 English
Overview
Mini-Inference Engine v1.0.0 is the first stable release, featuring a complete suite of CUDA GEMM optimizations with professional documentation and comprehensive testing.
🚀 7-Level Progressive GEMM Optimization
From naive implementation to near-cuBLAS performance:
1
2
Naive (10%) → Tiled (20%) → Coalesced (30%) → Double Buffer (40%)
→ Register Blocked (70%) → Fused (80%) → Vectorized (85%)
🔧 Complete Inference Engine
- Multi-layer neural network inference
- Weight loading and management
- MNIST demonstration application
- Per-layer timing analysis
📊 Professional Analysis Tools
- GPU profiler with roofline analysis
- Auto-tuner for optimal kernel selection
- Comprehensive benchmark suite
🧪 Quality Assurance
- 207 unit tests with Google Test
- All tests passing on CI
- Code coverage tracking
📖 Documentation
Complete documentation available:
| Document | Content |
|---|---|
| Quick Start | Environment setup, first program |
| Architecture | System design, core components |
| GEMM Optimization | 7-level optimization techniques |
| Performance Tuning | Block size selection, memory optimization |
| API Reference | Complete API documentation |
🌐 简体中文
概述
Mini-Inference Engine v1.0.0 是首个稳定版本，包含完整的 CUDA GEMM 优化套件、专业的文档和全面的测试。
🚀 7 级渐进式 GEMM 优化
从最简单的实现到接近 cuBLAS 性能：
1
2
Naive (10%) → Tiled (20%) → Coalesced (30%) → Double Buffer (40%)
→ Register Blocked (70%) → Fused (80%) → Vectorized (85%)
🔧 完整的推理引擎
- 多层神经网络推理
- 权重加载和管理
- MNIST 演示应用
- 逐层计时分析
📊 专业的分析工具
- 带 Roofline 分析的 GPU Profiler
- 自动 Kernel 选择 Auto-Tuner
- 全面的基准测试套件
🧪 质量保证
- 207 个 Google Test 单元测试
- 所有测试在 CI 上通过
- 代码覆盖率追踪
📖 文档
完整文档：
| 文档 | 内容 |
|---|---|
| 快速入门 | 环境配置、第一个程序 |
| 架构设计 | 系统设计、核心组件 |
| GEMM 优化详解 | 7 级优化技术 |
| 性能调优指南 | Block size 选择、内存优化 |
| API 参考 | 完整 API 文档 |
📈 Performance Results
Tested on RTX 3080, 1024×1024×1024 GEMM
| Kernel | Time (ms) | GFLOPS | vs cuBLAS |
|---|---|---|---|
| cuBLAS | 0.31 | 6920 | 100% |
| Naive | 3.10 | 694 | 10% |
| Tiled | 1.55 | 1388 | 20% |
| Coalesced | 1.03 | 2088 | 30% |
| Double Buffer | 0.78 | 2768 | 40% |
| Optimized | 0.44 | 4870 | 70% |
| Fused | 0.38 | 5630 | 81% |
| Vectorized | 0.35 | 6130 | 89% |
📋 Requirements
| Dependency | Minimum | Recommended |
|---|---|---|
| CUDA Toolkit | 11.0 | 12.0+ |
| CMake | 3.18 | 3.25+ |
| C++ Compiler | GCC 9 / Clang 10 | GCC 11+ |
| GPU Compute Capability | 7.5 | 8.0+ |
🔗 Links
- Full Changelog: CHANGELOG.md
- Documentation: docs/
- Latest Release: v1.1.0
This release was published on April 16, 2025