Release v0.2.0
Release Date: 2025-03-15
🌐 English
Overview
Mini-Inference Engine v0.2.0 is a major refactoring release with advanced GEMM optimizations and new infrastructure components.
🚀 Major GEMM Optimizations
- Memory coalescing optimization for improved bandwidth utilization
- Double buffering technique for latency hiding
- Register blocking optimization achieving ~70% of cuBLAS
- Kernel fusion (GEMM + Bias + ReLU)
- Vectorized memory loads with float4
🔧 New Features
- Half-precision (FP16) GEMM support
- Batched GEMM operations
- Memory pool with caching
- Stream manager for concurrency
- Configuration system
- Logging system
- INT8 quantization support
- Auto-tuner for kernel selection
- Performance profiler
📊 Performance
| Kernel | vs cuBLAS |
|---|---|
| Coalesced GEMM | ~30% |
| Double Buffer GEMM | ~40% |
| Optimized GEMM | ~70% |
| Fused GEMM | ~80% |
Breaking Changes
None. All APIs are backward compatible with v0.1.0.
🌐 简体中文
概述
Mini-Inference Engine v0.2.0 是一个重大重构版本，包含高级 GEMM 优化和新的基础设施组件。
🚀 主要 GEMM 优化
- 内存合并优化，提高带宽利用率
- 双缓冲技术隐藏延迟
- 寄存器分块优化，达到 ~70% cuBLAS 性能
- 算子融合（GEMM + Bias + ReLU）
- 使用 float4 的向量化内存加载
🔧 新功能
- 半精度 (FP16) GEMM 支持
- 批量 GEMM 操作
- 带缓存的内存池
- 流管理器支持并发
- 配置系统
- 日志系统
- INT8 量化支持
- 自动调优器选择最优内核
- 性能分析器
📊 性能
| 内核 | 相对 cuBLAS |
|---|---|
| Coalesced GEMM | ~30% |
| Double Buffer GEMM | ~40% |
| Optimized GEMM | ~70% |
| Fused GEMM | ~80% |
破坏性变更
无。所有 API 与 v0.1.0 向后兼容。