Scalable Strategies for Computing with Massive Data

Volume: 55, Issue: 14
Published: Jan 1, 2013
Abstract
This paper presents two complementary statistical computing frameworks that address challenges in parallel processing and the analysis of massive data. First, the foreach package allows users of the R programming environment to define parallel loops that may be run sequentially on a single machine, in parallel on a symmetric multiprocessing (SMP) machine, or in cluster environments without platform-specific code. Second, the...
Paper Details
Title
Scalable Strategies for Computing with Massive Data
Published Date
Jan 1, 2013
Volume
55
Issue
14
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.