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W3094201465 abstract "Causal commutative arrows (CCA) extend arrows with additional constructs and laws that make them suitable for modelling domains such as functional reactive programming, differential equations and synchronous dataflow. Earlier work has revealed that a syntactic transformation of CCA computations into normal form can result in significant performance improvements, sometimes increasing the speed of programs by orders of magnitude. In this work we reformulate the normalization as a type class instance and derive optimized observation functions via a specialization to stream transformers to demonstrate that the same dramatic improvements can be achieved without leaving the language." @default.
W3094201465 created "2020-10-29" @default.
W3094201465 creator A5011291457 @default.
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W3094201465 date "2016-09-08" @default.
W3094201465 modified "2023-10-13" @default.
W3094201465 title "Causal commutative arrows revisited" @default.
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W3094201465 doi "https://doi.org/10.1145/3241625.2976019" @default.
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