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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Generating GPU Code from a High-Level Representation for Image Processing Kernels
verfasst von : Richard Membarth, Anton Lokhmotov, Jürgen Teich
Erschienen in: Euro-Par 2011: Parallel Processing Workshops
Verlag: Springer Berlin Heidelberg
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We present a framework for representing image processing kernels based on decoupled access/execute metadata, which allow the programmer to specify both execution constraints and memory access pattern of a kernel. The framework performs source-to-source translation of kernels expressed in high-level framework-specific C++ classes into low-level CUDA or OpenCL code with effective device-dependent optimizations such as global memory padding for memory coalescing and optimal memory bandwidth utilization. We evaluate the framework on several image filters, comparing generated code against highly-optimized CPU and GPU versions in the popular OpenCV library.