Displaying 1 result from an estimated 1 matches for "meanelapsed_1corevectorized".
2011 Apr 19
0
doSMP package works better than perfect, at least sometimes.
...,by=c('g','n','method')
)
# transpose to wide
mm <- melt(stats, id=c('g','n','method'))
tstats <- dcast(mm, g + n ~ variable+method)
tstats$speedup.elapsed1 <- tstats$meanElapsed_unvectorized /
tstats$meanElapsed_1CoreVectorized
tstats$speedup.elapsed3 <- tstats$meanElapsed_1CoreVectorized /
tstats$meanElapsed_SMPVectorized
speedupVectorizing <- dcast(tstats[c('g','n','speedup.elapsed1')], g~n,
value_var='speedup.elapsed1')
speedupSMP <- dcast(tstats[c('g','n...