走猫步。jl:自适应调度优化器

K. Schäffer
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引用次数: 0

摘要

走猫步。jl是一个实现为Julia库的JIT编译器,它基于统计分析生成优化的分派代码。与典型的JIT编译器不同,它需要用户进行一些集成工作,从而完全消除了复杂的反优化逻辑的需要。它能够编译新的类型稳定的路由,或者如果在运行期间调度类型的分布发生变化,可以对现有的路由进行重新排序,并且可定制的成本模型预测与之前编译的最佳版本相比有显着的加速。走猫步。Jl是为同时需要可组合性和运行时多态性的情况而设计的,并且为了加速热循环中的动态分派,一些运行时编译开销是可以接受的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Catwalk.jl: An adaptive dispatch optimizer
Catwalk.jl is a JIT compiler implemented as a Julia library that generates optimized dispatch code based on statistical profiling. Unlike typical JIT compilers it requires some integration work from its users, allowing it to completely eliminate the need of complex deoptimization logic. It is able to compile new type- stabilized routes or reorder existing ones if the distribution of dispatched types changes during runtime and the customizable cost model predicts significant speedup compared to the best version that was previously compiled. Catwalk.jl was designed for situations when both composability and runtime polymorphism is required, and some runtime com- pilation overhead is acceptable for speeding up dynamic dispatch in hot loops.
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