发表于2025-04-10
Parallel R 2025 pdf epub mobi 电子书
图书标签: R O'Reilly 统计 Parallel 编程 Programming 计算机科学 计算机
It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don’t.
With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier.
Snow: works well in a traditional cluster environment
Multicore: popular for multiprocessor and multicore computers
Parallel: part of the upcoming R 2.14.0 release
R+Hadoop: provides low-level access to a popular form of cluster computing
RHIPE: uses Hadoop’s power with R’s language and interactive shell
Segue: lets you use Elastic MapReduce as a backend for lapply-style operations
不错的一本书。其实只要是并行计算的我都有兴趣,唯一的足是,这里R使用的并行计算架构稍微简单了些,——虽然很多库
评分过时的太快。
评分不错的一本书。其实只要是并行计算的我都有兴趣,唯一的足是,这里R使用的并行计算架构稍微简单了些,——虽然很多库
评分还行 就是有点过时了
评分就眼下的使用只读了multicore的部分。意料之外的幽默, 深浅合宜,非常不错。
Parallel R 2025 pdf epub mobi 电子书