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pbdR
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pbdR

Overview
Synopsis

The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages for distributed computing and profiling in data science.

Category

Statistical Software Free

Features

• High Performance
• High-Level Interfaces To Mpi
• Zeromq
• Scalapack
• Netcdf4
• PAPI

License

Proprietary

Price

• Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

pbdR

PAT Rating™
Editor Rating
Aggregated User Rating
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Ease of use
7.4
7.0
Features & Functionality
7.6
Advanced Features
7.5
Integration
7.5
Performance
7.4
Training
Customer Support
7.6
Implementation
Renew & Recommend
Bottom Line

The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages which includes high performance, high-level interfaces to MPI, ZeroMQ, ScaLAPACK, NetCDF4 and PAPI.

7.5
Editor Rating
7.0
Aggregated User Rating
1 rating
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The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages for distributed computing and profiling in data science. The "Programming with Big Data in R" project (pbdR) offers packages which includes Application, Communication, Computation, Developers, I/O and Profiling. Application packages are specifically purposed packages that utilize pbdR such as pbdML which are machine learning algorithms, using pbdDMAT; cubfits for estimating mutation and selection coefficients on synonymous codon bias usage based on models of ribosome overhead cost (ROC); pmclust which are tools for parallel model-based clustering and includes k-means and Gaussian mixture modeling, and can be applied to ad hoc distributed matrices as well as pbdDMAT conformable ones; and the pbdDEMO which is a collection of pbdR package demonstrations and examples as well as a lengthy, textbook-style vignette to help quickly move R programmers from their laptops to distributed platforms. Communication Pacakges are tools for handling multi-machine communication which includes the pbdRPC which is a remote Procedure Call and a very light implementation yet secure for remote procedure calls with unified interface via ssh (OpenSSH) or plink/plink.exe (PuTTY); the remoter which is a collection of utilities for performing R computations on a remote resource; the pbdCS which is a client/server framework for pbdR; and the pbdZMQ which is a set of bindings for the well-known ZeroMQ communication library. Computation Packages are frameworks for building other scalable tools like pbdDMAT and pbdMPI. Developers Packages are Tools for developers such as pbdTEST, pbdBASE and pbdSLAP. I/O Packages are for large, scalable I/O. Profiling packages are Performance analysis packages.

pbdR
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Ease of use
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