Matches in DBpedia 2015-10 for { <http://dbpedia.org/resource/Programming_with_Big_Data_in_R> ?p ?o }
- Programming_with_Big_Data_in_R abstract "Programming with Big Data in R (pbdR) is a series of R packages and an environment for statistical computing with Big Data by using high-performance statistical computation. The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical software. The significant difference between pbdR and R code is that pbdR mainly focuses on distributed memory systems, where data are distributed across several processors and analyzed in a batch mode, while communications between processors are based on MPI that is easily used in large high-performance computing (HPC) systems. R system mainly focuses on single multi-core machines for data analysis via an interactive mode such as GUI interface.Two main implementations in R using MPI are Rmpi and pbdMPI of pbdR. The pbdR built on pbdMPI uses SPMD parallelism where every processor is considered as worker and owns parts of data. The SPMD parallelism introduced in mid 1980 is particularly efficient in homogeneous computing environments for large data, for example, performing singular value decomposition on a large matrix, or performing clustering analysis on high-dimensional large data. On the other hand, there is no restriction to use manager/workers parallelism in SPMD parallelism environment. The Rmpi uses manager/workers parallelism where one main processor (manager) servers as the control of all other processors (workers). The manager/workers parallelism introduced around early 2000 is particularly efficient for large tasks in small clusters, for example, bootstrap method and Monte Carlo simulation in applied statistics since i.i.d. assumption is commonly used in most statistical analysis. In particular, task pull parallelism has better performance for Rmpi in heterogeneous computing environments.The idea of SPMD parallelism is to let every processor do the same amount of work, but on different parts of a large data set. For example, a modern GPU is a large collection of slower co-processors that can simply apply the same computation on different parts of relatively smaller data, but the SPMD parallelism ends up with an efficient way to obtain final solutions (i.e. time to solution is shorter). It is clear that pbdR is not only suitable for small clusters, but is also more stable for analyzing Big data and more scalable for supercomputers. In short, pbdR does not like Rmpi, snow, snowfall, do-like, nor parallel packages in R, does not focus on interactive computing nor master/workers, but is able to use both SPMD and task parallelisms.↑ ↑ ↑ 3.0 3.1 ↑ ↑".
- Programming_with_Big_Data_in_R influencedBy C_(programming_language).
- Programming_with_Big_Data_in_R influencedBy Fortran.
- Programming_with_Big_Data_in_R influencedBy Message_Passing_Interface.
- Programming_with_Big_Data_in_R influencedBy R_(programming_language).
- Programming_with_Big_Data_in_R influencedBy ØMQ.
- Programming_with_Big_Data_in_R license GNU_General_Public_License.
- Programming_with_Big_Data_in_R license Mozilla_Public_License.
- Programming_with_Big_Data_in_R thumbnail Pbdr.png?width=300.
- Programming_with_Big_Data_in_R wikiPageExternalLink HighPerformanceComputing.html.
- Programming_with_Big_Data_in_R wikiPageExternalLink REU2013Team1.pdf.
- Programming_with_Big_Data_in_R wikiPageExternalLink REU2013Team2.pdf.
- Programming_with_Big_Data_in_R wikiPageExternalLink pbdRtara2013.pdf.
- Programming_with_Big_Data_in_R wikiPageExternalLink r-at-12000-cores.
- Programming_with_Big_Data_in_R wikiPageExternalLink RBigData.
- Programming_with_Big_Data_in_R wikiPageExternalLink www.r-pbd.org.
- Programming_with_Big_Data_in_R wikiPageID "39775648".
- Programming_with_Big_Data_in_R wikiPageLength "12401".
- Programming_with_Big_Data_in_R wikiPageOutDegree "77".
- Programming_with_Big_Data_in_R wikiPageRevisionID "682500841".
- Programming_with_Big_Data_in_R wikiPageWikiLink BLACS.
- Programming_with_Big_Data_in_R wikiPageWikiLink Batch_processing.
- Programming_with_Big_Data_in_R wikiPageWikiLink Big_Data.
- Programming_with_Big_Data_in_R wikiPageWikiLink Big_data.
- Programming_with_Big_Data_in_R wikiPageWikiLink Bootstrapping_(statistics).
- Programming_with_Big_Data_in_R wikiPageWikiLink C_(programming_language).
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Cross-platform_free_software.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Data-centric_programming_languages.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Data_mining_and_machine_learning_software.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Free_statistical_software.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Functional_languages.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Numerical_analysis_software_for_Linux.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Numerical_analysis_software_for_OS_X.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Numerical_analysis_software_for_Windows.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Parallel_computing.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Programming_languages.
- Programming_with_Big_Data_in_R wikiPageWikiLink Category:Statistical_software.
- Programming_with_Big_Data_in_R wikiPageWikiLink Computational_statistics.
- Programming_with_Big_Data_in_R wikiPageWikiLink Computer_cluster.
- Programming_with_Big_Data_in_R wikiPageWikiLink Cross-platform.
- Programming_with_Big_Data_in_R wikiPageWikiLink Data_mining.
- Programming_with_Big_Data_in_R wikiPageWikiLink Distributed_memory.
- Programming_with_Big_Data_in_R wikiPageWikiLink Dynamic_typing.
- Programming_with_Big_Data_in_R wikiPageWikiLink Fortran.
- Programming_with_Big_Data_in_R wikiPageWikiLink GNU_General_Public_License.
- Programming_with_Big_Data_in_R wikiPageWikiLink General_Public_License.
- Programming_with_Big_Data_in_R wikiPageWikiLink GitHub.
- Programming_with_Big_Data_in_R wikiPageWikiLink Graphical_user_interface.
- Programming_with_Big_Data_in_R wikiPageWikiLink Graphics_processing_unit.
- Programming_with_Big_Data_in_R wikiPageWikiLink High-performance_computing.
- Programming_with_Big_Data_in_R wikiPageWikiLink Independent_and_identically_distributed_random_variables.
- Programming_with_Big_Data_in_R wikiPageWikiLink Library_(computing).
- Programming_with_Big_Data_in_R wikiPageWikiLink List_of_statistical_packages.
- Programming_with_Big_Data_in_R wikiPageWikiLink MPICH2.
- Programming_with_Big_Data_in_R wikiPageWikiLink MPMD.
- Programming_with_Big_Data_in_R wikiPageWikiLink slave_(technology).
- Programming_with_Big_Data_in_R wikiPageWikiLink Message_Passing_Interface.
- Programming_with_Big_Data_in_R wikiPageWikiLink Mixture_model.
- Programming_with_Big_Data_in_R wikiPageWikiLink Monte_Carlo_method.
- Programming_with_Big_Data_in_R wikiPageWikiLink Mozilla_Public_License.
- Programming_with_Big_Data_in_R wikiPageWikiLink Multi-core_processor.
- Programming_with_Big_Data_in_R wikiPageWikiLink NetCDF.
- Programming_with_Big_Data_in_R wikiPageWikiLink Open_MPI.
- Programming_with_Big_Data_in_R wikiPageWikiLink PBLAS.
- Programming_with_Big_Data_in_R wikiPageWikiLink Programming_language_syntax.
- Programming_with_Big_Data_in_R wikiPageWikiLink R.
- Programming_with_Big_Data_in_R wikiPageWikiLink R_(programming_language).
- Programming_with_Big_Data_in_R wikiPageWikiLink SPMD.
- Programming_with_Big_Data_in_R wikiPageWikiLink S_(programming_language).
- Programming_with_Big_Data_in_R wikiPageWikiLink ScaLAPACK.
- Programming_with_Big_Data_in_R wikiPageWikiLink Singular_value_decomposition.
- Programming_with_Big_Data_in_R wikiPageWikiLink Statistical_computing.
- Programming_with_Big_Data_in_R wikiPageWikiLink Statistical_software.
- Programming_with_Big_Data_in_R wikiPageWikiLink Statistician.
- Programming_with_Big_Data_in_R wikiPageWikiLink Statistics.
- Programming_with_Big_Data_in_R wikiPageWikiLink Supercomputer.
- Programming_with_Big_Data_in_R wikiPageWikiLink Syntax_(programming_languages).
- Programming_with_Big_Data_in_R wikiPageWikiLink Type_system.
- Programming_with_Big_Data_in_R wikiPageWikiLink Zen_and_the_Art_of_Mayhem.
- Programming_with_Big_Data_in_R wikiPageWikiLink ZeroMQ.
- Programming_with_Big_Data_in_R wikiPageWikiLink ØMQ.
- Programming_with_Big_Data_in_R wikiPageWikiLink File:Pbd_overview.png.
- Programming_with_Big_Data_in_R wikiPageWikiLink File:Pbdr.png.
- Programming_with_Big_Data_in_R wikiPageWikiLinkText "Programming with Big Data in R".
- Programming_with_Big_Data_in_R wikiPageWikiLinkText "pbdMPI".
- Programming_with_Big_Data_in_R date "October 2014".
- Programming_with_Big_Data_in_R designer "Wei-Chen Chen, George Ostrouchov, Pragneshkumar Patel, and Drew Schmidt".
- Programming_with_Big_Data_in_R developer "pbdR Core Team".
- Programming_with_Big_Data_in_R hasPhotoCollection Programming_with_Big_Data_in_R.
- Programming_with_Big_Data_in_R influencedBy "R, C, Fortran, MPI, and ØMQ".
- Programming_with_Big_Data_in_R latestTestVersion "Through GitHub at RBigData".
- Programming_with_Big_Data_in_R license "General Public License and Mozilla Public License".
- Programming_with_Big_Data_in_R logo "200".
- Programming_with_Big_Data_in_R name "pbdR".
- Programming_with_Big_Data_in_R operatingSystem Cross-platform.
- Programming_with_Big_Data_in_R paradigm "SPMD and MPMD".
- Programming_with_Big_Data_in_R text "snow, snowfall, do-like,".
- Programming_with_Big_Data_in_R typing Dynamic_typing.
- Programming_with_Big_Data_in_R typing Type_system.
- Programming_with_Big_Data_in_R website www.r-pbd.org.