10:20 TAKATSU Tomonari (tota) 

science/R-cran-snow: Update to 0.4-4

    0a569cf

06:51 tota 

- Update to 0.4-3

 

04:21 tota 

- Update to 0.4-2
- Fix LICENSE section

 

11:01 tota 

- Update to 0.4-1
- Update WWW in pkg-descr

 

21:03 tota 

- Update to 0.3-13
- Add LICENSE section
- Replace tab with a space after WWW: in pkg-descr

 

20:52 tota 

- Update to 0.3-12

 

13:42 tota 

- Update to 0.3-10

19:58 tota 

- Update to 0.3-9

13:14 tota 

- Add a new port: science/R-cran-snow

  The snow package provides support for simple parallel computing on a
  network of workstations using R.  A master R process calls makeCluster
  to start a cluster of worker processes; the master process then uses
  functions such as clusterCall and clusterApply to execute R code on
  the worker processes and collect and return the results on the master.
  This framework supports many forms of "embarrassingly parallel"
  computations.

  Snow can use one of four communications mechanisms: sockets, PVM, MPI,
  or NetWorkSpaces (NWS).  NWS support was provided by Steve Weston.
  PVM clusters use the rpvm package; MPI clusters use package Rmpi; NWS
  clusters use package nws.  If pvm is used, then pvm must be started,
  either using a pvm console (e.g the pvm text console or the graphical
  xpvm console, both available with pvm) or from R using functions
  provided by rpvm.  Similarly, LAM-MPI must be started, e.g.  using
  lamboot, for MPI clusters that use Rmpi and LAM-MPI.  If NWS is used,
  the NetWorkSpaces server must be running.  SOCK clusters are the
  easiest approach for using snow on a single multi-core computer as
  they require no additional software.

  WWW:  http://cran.r-project.org/web/packages/snow/