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*From*: "Tom 'spot' Callaway" <tcallawa redhat com>*To*: fedora-extras-list redhat com*Subject*: Request for Review: blacs, scalapack, R-RScaLAPACK*Date*: Tue, 19 Apr 2005 09:34:29 -0500

All packages described can be found here: http://www.auroralinux.org/people/spot/R/ Second chunk of R related packages for review, this time, I've got lapack's cousins, blacs, and scalapack, along with the first of many R modules, RScaLAPACK. The R modules are so similar that the spec template is virtually identical for each module. ==== blacs: URL: http://www.netlib.org/blacs SRPM: http://www.auroralinux.org/people/spot/R/blacs-1.1-3.src.rpm SPEC: http://www.auroralinux.org/people/spot/R/blacs.spec The BLACS (Basic Linear Algebra Communication Subprograms) project is an ongoing investigation whose purpose is to create a linear algebra oriented message passing interface that may be implemented efficiently and uniformly across a large range of distributed memory platforms. The length of time required to implement efficient distributed memory algorithms makes it impractical to rewrite programs for every new parallel machine. The BLACS exist in order to make linear algebra applications both easier to program and more portable. scalapack: URL: http://www.netlib.org/scalapack/scalapack_home.html SRPM: http://www.auroralinux.org/people/spot/R/scalapack-1.7-1.src.rpm SPEC: http://www.auroralinux.org/people/spot/R/scalapack.spec The ScaLAPACK (or Scalable LAPACK) library includes a subset of LAPACK routines redesigned for distributed memory MIMD parallel computers. It is currently written in a Single-Program-Multiple-Data style using explicit message passing for interprocessor communication. It assumes matrices are laid out in a two-dimensional block cyclic decomposition. ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI or PVM. Like LAPACK, the ScaLAPACK routines are based on block-partitioned algorithms in order to minimize the frequency of data movement between different levels of the memory hierarchy. (For such machines, the memory hierarchy includes the off-processor memory of other processors, in addition to the hierarchy of registers, cache, and local memory on each processor.) The fundamental building blocks of the ScaLAPACK library are distributed memory versions (PBLAS) of the Level 1, 2 and 3 BLAS, and a set of Basic Linear Algebra Communication Subprograms (BLACS) for communication tasks that arise frequently in parallel linear algebra computations. In the ScaLAPACK routines, all interprocessor communication occurs within the PBLAS and the BLACS. One of the design goals of ScaLAPACK was to have the ScaLAPACK routines resemble their LAPACK equivalents as much as possible. R-RScaLAPACK: URL: http://cran.r-project.org/contrib SRPM: http://www.auroralinux.org/people/spot/R/R-RScaLAPACK-0.4.0-1.src.rpm SPEC: http://www.auroralinux.org/people/spot/R/R-RScaLAPACK.spec R package: An R add-on package capable of carrying out parallel computation through a single function call from the R environment. It uses the high-performance ScaLAPACK library for the linear algebra computations. ==== Thanks in advance, ~spot -- Tom "spot" Callaway: Red Hat Sales Engineer || GPG Fingerprint: 93054260 Fedora Extras Steering Committee Member (RPM Standards and Practices) Aurora Linux Project Leader: http://auroralinux.org Lemurs, llamas, and sparcs, oh my!

**Follow-Ups**:**Re: Request for Review: blacs, scalapack, R-RScaLAPACK***From:*Ed Hill