This book constitutes revised selected papers from the 22nd International Symposium on Trends in Functional Programming, TFP 2021, which was held virtually in February 2020.
The 6 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections about nested parallelism, semantics, task-oriented programming and modelling, translating, proving functional programs.
Chapter 'Dataset Sensitive Autotuning of Multi-Versioned Code based on Monotonic Properties' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapter 'High-level Modelling for Typed Functional Programming' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Nested parallelism, semantics, task-oriented programming.- Dataset Sensitive Autotuning of Multi-Versioned Code based on Monotonic Properties.- A Generic Back-End for Exploratory Programming.- Dynamic Editors for Well-Typed Expressions.- Modelling, translating, proving functional programs.- High-Level Modelling for Typed Functional Programming.- Translating Lambda Calculus into C++ Templates.- ProofViz: An Interactive Visual Proof Explorer.
Inhaltsverzeichnis
Nested parallelism, semantics, task-oriented programming.- Dataset Sensitive Autotuning of Multi-Versioned Code based on Monotonic Properties.- A Generic Back-End for Exploratory Programming.- Dynamic Editors for Well-Typed Expressions.- Modelling, translating, proving functional programs.- High-Level Modelling for Typed Functional Programming.- Translating Lambda Calculus into C++ Templates.- ProofViz: An Interactive Visual Proof Explorer.
Klappentext
This book constitutes revised selected papers from the 22nd International Symposium on Trends in Functional Programming, TFP 2021, which was held virtually in February 2020.
The 6 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections about nested parallelism, semantics, task-oriented programming and modelling, translating, proving functional programs.
Chapter 'Dataset Sensitive Autotuning of Multi-Versioned Code based on Monotonic Properties' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapter 'High-level Modelling for Typed Functional Programming' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
