This Is Driving Me Loopy: Efficient Loops in Arrowized Functional Reactive Programs

Finnbar Keating, Michael B. Gale
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Abstract

Arrowized Functional Reactive Programming (AFRP) is one approach to writing reactive programs declaratively, based on the arrows abstraction in Haskell. While AFRP elegantly expresses the relationships between inputs and outputs of a reactive system, na'ive implementations suffer from poor performance. In particular, the loop combinator depends on lazy semantics: this inflicts the overheads of lazy evaluation and simultaneously prevents existing optimisation techniques from being applied to it. We present a novel program transformation which utilises the Arrow and ArrowLoop laws to transform typical uses of loop into restricted forms that have an execution order that is known at compile-time and therefore can be executed strictly. We evaluate the performance gained from our transformations and prove that the transformations are correct.
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这让我发疯:箭头化函数式反应程序中的高效循环
箭头化函数式响应式编程(AFRP)是一种基于Haskell中的箭头抽象,以声明方式编写响应式程序的方法。虽然AFRP优雅地表达了反应性系统的输入和输出之间的关系,但幼稚的实现会受到性能差的影响。特别是,循环组合子依赖于惰性语义:这会造成惰性求值的开销,同时阻止现有的优化技术应用于它。我们提出了一种新的程序转换,它利用Arrow和ArrowLoop定律将循环的典型用法转换为具有在编译时已知的执行顺序的限制形式,因此可以严格执行。我们评估了从我们的转换获得的性能,并证明了转换是正确的。
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Don’t Go Down the Rabbit Hole: Reprioritizing Enumeration for Property-Based Testing Haskell Library for Safer Virtual Machine Introspection (Experience Report) Haskell for Choice-Based Learning (Keynote) The Evolution of Effects (Keynote) This Is Driving Me Loopy: Efficient Loops in Arrowized Functional Reactive Programs
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