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.
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.
Trends in Functional Programming: 22nd International Symposium, TFP 2021, Virtual Event, February 17-19, 2021, Revised Selected Papers
Trends in Functional Programming: 22nd International Symposium, TFP 2021, Virtual Event, February 17-19, 2021, Revised Selected Papers
Product Details
| ISBN-13: | 9783030839789 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 08/23/2021 |
| Series: | Lecture Notes in Computer Science , #12834 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 14 MB |
| Note: | This product may take a few minutes to download. |