文章基本信息

标题：R-Friendly Multi-Threading in C
本地全文：下载
作者：Thomas Nagler
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2021
卷号：97
期号：1
页码：1-18
DOI：10.18637/jss.v097.c01
出版社：University of California, Los Angeles
摘要：Calling multi-threaded C code from R has its perils. Since the R interpreter is single-threaded, one must not check for user interruptions or print to the R console from multiple threads. One can, however, synchronize with R from the main thread. The R package RcppThread (current version 1.0.0) contains a header only C library for thread safe communication with R that exploits this fact. It includes C classes for threads, a thread pool, and parallel loops that routinely synchronize with R. This article explains the package's functionality and gives examples of its usage. The synchronization mechanism may also apply to other threading frameworks. Benchmarks suggest that, although synchronization causes overhead, the parallel abstractions of RcppThread are competitive with other popular libraries in typical scenarios encountered in statistical computing.
关键词：R; C ; parallel; thread; concurrency.
其他关键词：R;C ;parallel;thread;concurrency