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• W1973959314 abstract "Infinite impulse response (IIR) or recursive filters, are essential for image processing because they turn expensive large-footprint convolutions into operations that have a constant cost per pixel regardless of kernel size. However, their recursive nature constrains the order in which pixels can be computed, severely limiting both parallelism within a filter and memory locality across multiple filters. Prior research has developed algorithms that can compute IIR filters with image tiles. Using a divide-and-recombine strategy inspired by parallel prefix sum, they expose greater parallelism and exploit producer-consumer locality in pipelines of IIR filters over multi-dimensional images. While the principles are simple, it is hard, given a recursive filter, to derive a corresponding tile-parallel algorithm, and even harder to implement and debug it." @default.
• W1973959314 created "2016-06-24" @default.
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• W1973959314 date "2015-08-07" @default.
• W1973959314 modified "2023-09-29" @default.
• W1973959314 title "Compiling high performance recursive filters" @default.
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• W1973959314 doi "https://doi.org/10.1145/2790060.2790063" @default.
• W1973959314 hasPublicationYear "2015" @default.
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