Gero Dittmann, Christopher Giblin, et al.
Big Data 2022
We propose to arrange a library of tree patterns into a hierarchy by means of identity operations. Compared with current unstructured approaches, our new method reduces the computational complexity of searching a pattern from O(n · p] to only O(d), d ≤ p. Furthermore, the organization reveals synergies between patterns for ASIP instruction-set synthesis, data-path sharing, and code generation.
Gero Dittmann, Christopher Giblin, et al.
Big Data 2022
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ICASSP 2014
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