v1.0.0 - First Stable Release

Mini-ImagePipe v1.0.0

First stable release of Mini-ImagePipe - a high-performance DAG-based GPU image processing pipeline.

Highlights

• GPU Accelerated: Full CUDA implementation with async kernel execution
• DAG Scheduling: Directed acyclic graph-based task dependency management with automatic parallelization
• Multi-Stream Execution: Concurrent CUDA stream execution for independent tasks
• Memory Efficient: Pinned/Device memory pools with best-fit allocation strategy
• Separable Filtering: Gaussian blur optimized with separable horizontal + vertical passes
• Error Propagation: Task failures automatically propagate downstream along the DAG

Image Processing Operators

Operator	Function	Features
GaussianBlur	Gaussian blur	3×3/5×5/7×7 separable filter, reflection boundary padding
Sobel	Edge detection	3×3 Sobel kernels, gradient magnitude output
Resize	Image scaling	Bilinear / nearest-neighbor interpolation
ColorConvert	Color conversion	RGB↔Gray, BGR↔RGB, RGBA→RGB

Requirements

• CMake >= 3.18
• CUDA Toolkit >= 11.0
• C++17 compatible compiler

GPU Support

Volta (sm_70), Turing (sm_75), Ampere (sm_80, sm_86), Ada Lovelace (sm_89), Hopper (sm_90)

---

Mini-ImagePipe v1.0.0

Mini-ImagePipe 首个稳定版本 —— 高性能 DAG 任务图驱动 GPU 图像处理流水线。

核心特性

• GPU 加速: 全 CUDA 实现，支持异步内核执行
• DAG 调度: 基于有向无环图的任务依赖管理，自动并行化
• 多流并发: 支持多 CUDA 流并行执行独立任务
• 内存高效: Pinned/Device Memory 池化管理，best-fit 分配策略
• 可分离滤波: 高斯模糊使用可分离滤波优化
• 错误传播: 任务失败自动沿 DAG 向下游传播

图像处理算子

算子	功能	特性
GaussianBlur	高斯模糊	3×3/5×5/7×7 可分离滤波，反射边界填充
Sobel	边缘检测	3×3 Sobel 核，梯度幅值输出
Resize	图像缩放	双线性/最近邻插值
ColorConvert	颜色转换	RGB↔Gray, BGR↔RGB, RGBA→RGB

系统要求

• CMake >= 3.18
• CUDA Toolkit >= 11.0
• C++17 兼容编译器

GPU 支持

Volta (sm_70), Turing (sm_75), Ampere (sm_80, sm_86), Ada Lovelace (sm_89), Hopper (sm_90)