Description: An interface to and extensions for the 'PBLAS' and 'ScaLAPACK'
numerical libraries.  This enables R to utilize distributed linear algebra
for codes written in the 'SPMD' fashion.  This interface is deliberately
low-level and mimics the style of the native libraries it wraps.  For a much
higher level way of managing distributed matrices, see the 'pbdDMAT'
Imports: utils, pbdMPI (>= 0.3-8), pbdSLAP(>= 0.2-4)
person("Sebastien", "Lamy de la Chapelle", role="aut"),

Imports: utils, pbdMPI (>= 0.4-3), pbdSLAP (>= 0.2-8)
Authors@R: c(person("Drew", "Schmidt", role="aut", email="wrathematics@gmail.com"),
person("Wei-Chen", "Chen", role=c("aut", "cre"), email="wccsnow@gmail.com"),

Imports: utils, pbdMPI (>= 0.4-3), pbdSLAP (>= 0.2-9)

Title: Programming with Big Data -- Demonstrations of pbd Packages
Depends: R (>= 2.14.0), methods, rlecuyer, sqldf, pbdMPI (>= 0.1-6),
Enhances: maps, RColorBrewer, pbdNCDF4 (>= 0.1-0)
Description: pbdDEMO is a set of demos of pbdR packages, with a useful,
SystemRequirements: OpenMPI (>= 1.5.4) on Linux and Mac, MPICH2 (>=

Enhances: maps, RColorBrewer, pbdNCDF4 (>= 0.1-0), pmclust, MixSim,

Depends: R (>= 3.0.0), methods, rlecuyer, pbdMPI (>= 0.2-2), pbdSLAP
Enhances: maps, RColorBrewer, pbdNCDF4 (>= 0.1-1), pmclust, MixSim,

Title: Programming with Big Data -- Demonstrations and Examples Using
Enhances: maps, RColorBrewer, pbdNCDF4 (>= 0.1-2), pmclust, MixSim,
Description: A set of demos of 'pbdR' packages, together with a useful,
FreeBSD. MS-MPI (Microsoft HPC Pack 2012 R2 MS-MPI

Title: Programming with Big Data -- Distributed Matrix Computation
Depends: R (>= 2.15.0), methods, rlecuyer, pbdMPI (>= 0.1-1), pbdSLAP,
Description: pbdDMAT is a package for distributed matrix algebra
computations over MPI to BLACS, PBLAS, and ScaLAPACK via

Depends: R (>= 2.15.1), methods, rlecuyer, pbdMPI (>= 0.1-1), pbdSLAP,

Title: Programming with Big Data -- Distributed Matrix Methods
Description: pbdDMAT contains high level S3 and S4 methods for
creating, modifying, and performing computations with dense,
distributed matrices. This includes a new class, 'ddmatrix',
for storing all of the distributed data details.  Computation
is handled mostly by routines from the pbdBASE package.