关键词：OpenCL；Python；时空自适应处理；光流；雷达
摘 要：With our framework, efficiency programmers write and/or generate customized OpenCL snippets at runtime and the framework automatically fuses, compiles, and executes these operations based on a Python description.We evaluate the framework with case studies of two very different applications: space-time adaptive radar processing and optical flow. For a space-time adaptive radar pro cessing application, our framework’s implementation is competitive with a hand-coded implementation that uses a vendor-optimized library. For optical flow, a computer vision application,the framework achieves frame rates that are between 0.5×and 0.97× hand-coded OpenCL performance.