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....reg .f64 %fl<396>; > > > > mov.f64 %fl0, > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_0; > mov.f64 > > %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3; > > div.rn.f64 %fl0, %fl0, %fl1; mov.f64 %fl2, > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_1; > mul.f64 > > %fl1, %fl0, 0d400C000000000000; mov.f64 %fl0, > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_2; > add.f64 > > %fl1, %fl1, 0dC004000000000000; mov.f6...

...gt; > > > > mov.f64 %fl0, > > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_0; > > mov.f64 > > > %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3; > > > div.rn.f64                    %fl0, %fl0, %fl1;                            mov.f64 %fl2, > > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_1; > > mul.f64 > > > %fl1, %fl0, 0d400C000000000000;                            mov.f64 %fl0, > > > examples_2E_mandelbrot_2F_calc_2D_iteration_param_2; > > add.f64 > > > %fl1, %fl1, 0dC0040000...

...t;; >> > >> > mov.f64 %fl0, >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_0; >> > mov.f64 >> > %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3; >> > div.rn.f64 %fl0, %fl0, %fl1; mov.f64 %fl2, >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_1; >> > mul.f64 >> > %fl1, %fl0, 0d400C000000000000; mov.f64 %fl0, >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_2; >> > add.f64 >> > %fl1, %fl1, 0dC00400...

...t;> > mov.f64 %fl0, > >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_0; > >> > mov.f64 > >> > %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3; > >> > div.rn.f64 %fl0, %fl0, %fl1; mov.f64 %fl2, > >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_1; > >> > mul.f64 > >> > %fl1, %fl0, 0d400C000000000000; mov.f64 %fl0, > >> > examples_2E_mandelbrot_2F_calc_2D_iteration_param_2; > >> > add.f64 > >> &...

...g .s64 %rl<396>; .reg .f32 %f<396>; .reg .f64 %fl<396>; mov.f64 %fl0, examples_2E_mandelbrot_2F_calc_2D_iteration_param_0; mov.f64 %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3; div.rn.f64 %fl0, %fl0, %fl1; mov.f64 %fl2, examples_2E_mandelbrot_2F_calc_2D_iteration_param_1; mul.f64 %fl1, %fl0, 0d400C000000000000; mov.f64 %fl0, examples_2E_mandelbrot_2F_calc_2D_iteration_param_2; add.f64 %fl1, %fl1, 0dC004000000000000; mov.f64 %fl3, examples_2E_mandelbrot_2F_calc_2D_it...

...聽 聽 聽 聽 .reg .f64 %fl<396>; > >聽 聽 聽 聽 聽 聽 聽 聽 mov.f64 %fl0, > examples_2E_mandelbrot_2F_calc_2D_iteration_param_0;聽 聽 聽 聽 聽 聽 聽 mov.f64 > %fl1, examples_2E_mandelbrot_2F_calc_2D_iteration_param_3;聽 聽 聽 聽 聽 聽 > div.rn.f64聽 聽 聽 聽 聽 %fl0, %fl0, %fl1;聽 聽 聽 聽 聽 聽 聽 mov.f64 %fl2, > examples_2E_mandelbrot_2F_calc_2D_iteration_param_1;聽 聽 聽 聽 聽 聽 聽 mul.f64聽 聽 聽 聽 >聽 聽 聽 %fl1, %fl0, 0d400C000000000000;聽 聽 聽 聽 聽 聽 聽 mov.f64 %fl0, > examples_2E_mandelbrot_2F_calc_2D_iteration_param_2;聽 聽 聽 聽 聽 聽 聽 add.f64聽 聽 聽 聽 >聽 聽 聽 %fl1, %fl1, 0dC004000000000000;聽 聽 聽 聽...

...68.54 9.82 124.09 23.93 138.24 9998 342.89 73.65 133.35 1134.19 345.99 1876.88 9999 316.23 76.35 48.26 421.70 129.80 873.79 10000 291.64 103.66 6.85 107.46 26.42 189.38 10001 0.00 0.00 0.00 0.00 0.00 0.00 > mean(data) FSC SSC FL1 FL2 FL32 FL4 375.94880 73.76219 50.73413 434.42837 110.06393 637.34980 > geo.mean(data) [1] NaN > median(data) Error in median(data) : need numeric data >

...lq mean median uq max neval n <- readRDS(fl1) 106.5956 109.6457 237.3844 117.8956 141.9921 10934.162 100 load(fl2) 295.0654 301.8162 335.6266 308.3757 319.6965 1915.706 100 It looks like the max value is an outlier. So I tried: SECOND TEST: > sapply(1:10, function(x) system.time(n <- readRDS('file.rds'))[3]) elapse...

..."coop.tmp", row.names=F, quote=F) coop.dat <- read.fwf("coop.tmp", widths = c(c(3,8,4,2,4,2,4,3),rep(c(2,2,1,5,1,1),62)), na.strings=c("9999"), skip=1, as.is=T) rep.name <- rep(c("day","hr","met","dat","fl1","fl2"), 62) rep.count <- rep(c(1:62), each=6, 1) names(coop.dat) <- c("rect", "id", "elem", "unt", "year", "mo", "fill", "numval", paste(rep.name, rep.count, sep="_")) I would like to generate output th...

...red package: annotate KernSmooth 2.22 installed Copyright M. P. Wand 1997 [1] "/usr/local/lib/R/site-library/prada/extdata/fas-Bcl2-plate323-04-04.A01" [1] 2115 8 $P1N $P2N $P3N $P4N $P5N $P6N $P7N $P8N "FSC-H" "SSC-H" "FL1-H" "FL2-H" "FL3-H" "FL2-A" "FL4-H" "Time" Loading required package: rrcov Error in fitNorm2(fdat[, "FSC-H"], fdat[, "SSC-H"], scalefac = ScaleFactor) : Required package rrcov could not be found. In addition: Warning message: there is...

...min lq > mean median uq > max neval > n <- readRDS(fl1) 106.5956 109.6457 237.3844 > 117.8956 141.9921 10934.162 100 > load(fl2) 295.0654 301.8162 > 335.6266 308.3757 319.6965 1915.706 > 100 > > It looks like the max value is an outlier. > > So I tried: > SECOND TEST: > > sapply(1:10, function(x) system.time(n <- readRDS(&...

...lq >> mean median uq >> max neval >> n <- readRDS(fl1) 106.5956 109.6457 237.3844 >> 117.8956 141.9921 10934.162 100 >> load(fl2) 295.0654 301.8162 >> 335.6266 308.3757 319.6965 1915.706 >> 100 >> >> It looks like the max value is an outlier. >> >> So I tried: >> SECOND TEST: >> > sapply(1:10, function(...

...>mean median uq > max neval >n <- readRDS(fl1) 106.5956 109.6457 237.3844 > 117.8956 141.9921 10934.162 100 >load(fl2) 295.0654 301.8162 335.6266 > 308.3757 319.6965 1915.706 100 > >It looks like the max value is an outlier. > >So I tried: >SECOND TEST: >> sapply(1:10, function(x) system.time(n <- readRDS('fil...

(Note to self: learn to scan the full digest for later messages in a thread before replying to an earlier message.) Ed, Your reply to John answered some of my questions, but not all, and raised a new one: > Maybe I should have been a bit clearer; we're really interested in full > memory and type safety. We want to harden the system against memory > corruption vulnerabilities.