84 lines
1.8 KiB
Plaintext
84 lines
1.8 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="x_OP_y_subset"%>
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<%@string subname="x_OP_y"%>
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<%@meta title="${subname}() benchmarks on subsetted computation"%>
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<%@meta author="Dongcan Jiang"%>
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<%@meta date="2015-06-07"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=subname%>() on subsetted computation.
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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-matrices.R"%>
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data <- rmatrices(mode = mode)
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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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%>
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### <%=dataLabel%> vector
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```r
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<%=withCapture({
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x <- data[[.dataLabel.]]
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y <- x[, 1L]
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xrows <- sample.int(nrow(x), size = nrow(x)*0.7)
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xcols <- sample.int(ncol(x), size = ncol(x)*0.7)
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x_S <- x[xrows, xcols]
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yidxs <- xrows
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y_S <- y[yidxs]
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})%>
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```
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<% for (OP in c("+", "-", "*", "/")) { %>
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<%
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OPTag <- c("+" = "add", "-" = "sub", "*" = "mul", "/" = "div")[OP]
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gc()
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%>
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```r
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<%=withCapture({
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OP
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stats <- microbenchmark(
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"x_OP_y_x_y_S" = x_OP_y(x_S, y_S, OP = OP, na.rm = FALSE),
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"x_OP_y(x, y, OP, xrows, xcols, yidxs)" = x_OP_y(x, y, OP = OP, xrows = xrows, xcols = xcols, yidxs = yidxs, na.rm = FALSE),
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"x_OP_y(x[xrows, xcols], y[yidxs], OP)" = x_OP_y(x[xrows, xcols], y[yidxs], OP = OP, na.rm = FALSE),
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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, OPTag)) %>
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<% } # for (OP ...) %>
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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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2015-06-07
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o Created.
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---------------------------------------------------------------------------%>
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