optimizer64.data: Results of performance measurement on a Core i7 Lenovo T410 8...

In bit64: A S3 Class for Vectors of 64bit Integers

Results of performance measurement on a Core i7 Lenovo T410 8 GB RAM under Windows 7 64bit

Description

These are the results of calling optimizer64

Usage

data(optimizer64.data)

Format

The format is: List of 16 $ : num [1:9, 1:3] 0 0 1.63 0.00114 2.44 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:9] "match" "match.64" "hashpos" "hashrev" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:10, 1:3] 0 0 0 1.62 0.00114 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10] "%in%" "match.64" "%in%.64" "hashfin" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:10, 1:3] 0 0 0.00105 0.00313 0.00313 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10] "duplicated" "duplicated.64" "hashdup" "sortorderdup1" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:15, 1:3] 0 0 0 0.00104 0.00104 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:15] "unique" "unique.64" "hashmapuni" "hashuni" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:14, 1:3] 0 0 0 0.000992 0.000992 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:14] "unique" "unipos.64" "hashmapupo" "hashupo" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:13, 1:3] 0 0 0 0 0.000419 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:13] "tabulate" "table" "table.64" "hashmaptab" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:7, 1:3] 0 0 0 0.00236 0.00714 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:7] "rank" "rank.keep" "rank.64" "sortorderrnk" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:6, 1:3] 0 0 0.00189 0.00714 0 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:6] "quantile" "quantile.64" "sortqtl" "orderqtl" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:9, 1:3] 0 0 0.00105 1.17 0 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:9] "match" "match.64" "hashpos" "hashrev" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:10, 1:3] 0 0 0 0.00104 1.18 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10] "%in%" "match.64" "%in%.64" "hashfin" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:10, 1:3] 0 0 1.64 2.48 2.48 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:10] "duplicated" "duplicated.64" "hashdup" "sortorderdup1" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:15, 1:3] 0 0 0 1.64 1.64 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:15] "unique" "unique.64" "hashmapuni" "hashuni" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:14, 1:3] 0 0 0 1.62 1.62 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:14] "unique" "unipos.64" "hashmapupo" "hashupo" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:13, 1:3] 0 0 0 0 0.32 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:13] "tabulate" "table" "table.64" "hashmaptab" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:7, 1:3] 0 0 0 2.96 10.69 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:7] "rank" "rank.keep" "rank.64" "sortorderrnk" ... .. ..$ : chr [1:3] "prep" "both" "use" $ : num [1:6, 1:3] 0 0 1.62 10.61 0 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:6] "quantile" "quantile.64" "sortqtl" "orderqtl" ... .. ..$ : chr [1:3] "prep" "both" "use" - attr(*, "dim")= int [1:2] 8 2 - attr(*, "dimnames")=List of 2 ..$ : chr [1:8] "match" "%in%" "duplicated" "unique" ... ..$ : chr [1:2] "65536" "33554432"

Examples

data(optimizer64.data)
print(optimizer64.data)
oldpar <- par(no.readonly = TRUE)
par(mfrow=c(2,1))
par(cex=0.7)
for (i in 1:nrow(optimizer64.data)){
 for (j in 1:2){
   tim <- optimizer64.data[[i,j]]
  barplot(t(tim))
  if (rownames(optimizer64.data)[i]=="match")
   title(paste("match", colnames(optimizer64.data)[j], "in", colnames(optimizer64.data)[3-j]))
  else if (rownames(optimizer64.data)[i]=="%in%")
   title(paste(colnames(optimizer64.data)[j], "%in%", colnames(optimizer64.data)[3-j]))
  else
   title(paste(rownames(optimizer64.data)[i], colnames(optimizer64.data)[j]))
 }
}
par(mfrow=c(1,1))

bit64 documentation built on Sept. 30, 2024, 9:23 a.m.