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| Original R version | R-ScaLAPACK version | Notes |
|---|---|---|
| > solve(x,y) | > sla.solve(x,y) | Uses a single processor |
| > sla.solve(x,y,2) | Uses two processors | |
| Note that the R-ScaLAPACK library must be loaded before it can be used. | ||
| > load("data.R") > solve(x,y) |
> library(scalapack) > load("data.R") > sla.solve(x,y,4) |
A longer program showing the loading of the library and using solve with 4 processes. |
| Optional arguments are available for tweaking | ||
| > load("data.R") > qr(x) |
> library(scalapack) > load("data.R") > sla.qr(x, NPROWS=16, NPCOLS=8, MB=64) |
Runs QR decomposition on a 16 x 8 process grid (128 processors); uses a 64x64 block size |
| The process grid can be saved so that it doesn't have to be specified each time | ||
| > load("data.R") > qr(x) |
> library(scalapack) > .RscalaGrid=c(16,8) > load("data.R") > sla.qr(x) |
Runs QR decomposition on a 16 x 8 process grid; uses default block size |
Written by David Bauer January 17, 2004
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