104 lines
1.8 KiB
Plaintext
104 lines
1.8 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="sum2"%>
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<% fcnname <- "<%@string name="fcnname"%>" %>
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<%@meta title="${fcnname}() benchmarks"%>
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<%@meta author="Henrik Bengtsson"%>
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<%@meta date="2014-11-02"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=fcnname%>() against alternative methods.
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## Alternative methods
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* sum() + [()
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as below
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```r
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<%=withCapture({
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sum2_R <- function(x, na.rm = FALSE, idxs) {
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sum(x[idxs], na.rm = na.rm)
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}
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})%>
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```
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<% for (mode in c("integer", "double")) { %>
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## Data type "<%=mode%>"
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### Data
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```r
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<%=withCapture({
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<%@include file="R/random-vectors.R"%>
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data <- rvectors(mode = mode)
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##data <- data[1:3]
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})%>
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```
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### Results
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<% for (ii in seq_along(data)) { %>
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<%
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dataLabel <- names(data)[ii]
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mprintf("%s: %s\n", mode, dataLabel)
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x <- data[[dataLabel]]
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gc()
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%>
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### <%=dataLabel%> vector
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#### All elements
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```r
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<%=withCapture({
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x <- data[[.dataLabel.]]
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gc()
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stats <- microbenchmark(
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"sum2" = sum2(x),
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"sum" = sum(x),
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unit = "ms"
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)
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})%>
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```
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<% benchmarkResults(stats, tags=c(dataLabel, "all")) %>
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<% for (subset in c(0.2, 0.4, 0.8)) { %>
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#### A <%=sprintf("%g", 100*subset)%>% subset
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```r
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<%=withCapture({
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x <- data[[.dataLabel.]]
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subset
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idxs <- sort(sample(length(x), size = subset*length(x), replace = FALSE))
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gc()
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stats <- microbenchmark(
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"sum2" = sum2(x, idxs = idxs),
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"sum+[()" = sum2_R(x, idxs = idxs),
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unit = "ms"
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)
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})%>
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```
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<% benchmarkResults(stats, tags=c(mode, dataLabel, subset)) %>
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<% } # for (subset in ...) %>
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<% } # for (ii ...) %>
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<% } # for (mode ...) %>
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<%@include file="${footer}"%>
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<%---------------------------------------------------------------------------
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HISTORY:
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2014-11-02
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o Created.
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---------------------------------------------------------------------------%>
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