similar to: Profiling R code and C code (Rprof and gprof)

PROFILE OUTPUT PROCESSING TOOLS FOR R ===================================== This package provides some simple tools for examining Rprof output and, in particular, extracting and viewing call graph information. Call graph information, including which direct calls where observed and how much time was spent in these calls, can be very useful in identifying performance bottlenecks.

PROFILE OUTPUT PROCESSING TOOLS FOR R ===================================== This package provides some simple tools for examining Rprof output and, in particular, extracting and viewing call graph information. Call graph information, including which direct calls where observed and how much time was spent in these calls, can be very useful in identifying performance bottlenecks.

Author: mike_s Repository: /hg/zfs-crypto/gate Revision: e144729d8b901f4092085ea17a31bf10d1089f79 Log message: 6273860 gcc and sgs/gprof don''t get along 6273866 gcc and sgs/prof don''t get along Files: update: usr/src/cmd/sgs/gprof/Makefile.com update: usr/src/cmd/sgs/gprof/common/arcs.c update: usr/src/cmd/sgs/gprof/common/dfn.c update: usr/src/cmd/sgs/gprof/common/gprof.c

Hello, Appending information to the profiler's output seems to generate problems. Here is a small example of code : <code r> require(boot) Rprof( memory.profiling = TRUE) Rprof(NULL) for(i in 1:2){ Rprof( memory.profiling = TRUE, append = TRUE) example(boot) Rprof(NULL) } </code> The problem is that the file Rprof.out contains more than once the header information: $ grep

I have inherited a legacy S-plus system with about 10,000 lines of S and 10,000 lines of Fortran. It's now running under R. However, I would like to profile the fortran code with gprof or prof for performance tuning. I've successfully linked the .so file into a simple C driver program and profiled, but I can't seem to get profiling to work when using dyn.load() to use it from R. Do

Full_Name: Kevin C. Bartz Version: 1.5.1 OS: Solaris 2.6 Submission from: (NULL) (192.223.226.5) A while ago, I noticed this oddity about R profiling and setMethod. First, I "test out" Rprof. > require(methods) Loading required package: methods [1] TRUE > > Rprof("test.out") > data.frame("a") X.a. 1 a > Rprof(NULL) So far, so good. Next, I

This looks like a bug? Unable to use scan(pipe()) while profiling. I have no idea whether this version of R violates the "do not use `Rprof' in an executable built for profiling" warning in ?Rprof. Thanks -Don > version _ platform powerpc-apple-darwin1.4 arch powerpc os darwin1.4 system powerpc, darwin1.4 status Patched major 1 minor 3.1 year

I'm having difficulty with Rprof. I have a documentation example test.qss that runs fine without profiling, but under Rprof, > Rprof() > source("test.qss") Error in standardGeneric("model.matrix") : UseMethod used in an inappropriate fashion Luke wrote about a similar circumstance last summer: # From: Luke Tierney (luke@stat.umn.edu) # Date: Fri Jul

I noticed this oddity about R profiling and setMethod. First, I "test out" Rprof. > require(methods) Loading required package: methods [1] TRUE > > Rprof("test.out") > data.frame("a") X.a. 1 a > Rprof(NULL) So far, so good. Next, I define myClass. > setClass("myClass", representation(mySlot = "numeric")) [1]

Hi, I was trying to profile some C-code using clang. This was the actual line: clang -flto -g -pg a.o b.o -o test but the '-pg' flag was unused. I found an archive from January 2011 that says that clang does not support gprof profiling: http://lists.freebsd.org/pipermail/freebsd-toolchain/2011-January/000083.html The error mentioned in that is different, so I have a feeling the issue

If anyone has some reasonably valid gprof output laying around (from a vorbis encoding run), could you email it to me? Thanks, --Mike --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-dev-request@xiph.org' containing only the word 'unsubscribe' in the body. No

I am using Rprof() to help find ways to improve performance. I found a function whose total seconds and self seconds were large. I replaced it with something else. The something else had a small number of total seconds and self seconds. But the total time did not decrease. I don't understand how that could be, and would appreciate any suggestions. Thanks -Don Details, unfortunately

Full_Name: John Garvin Version: 1.9.0 OS: Linux Submission from: (NULL) (128.42.129.78) This may or may not technically be a bug, but it's certainly an annoyance. Rprof only takes into account computation that occurs inside functions. If a time-consuming operation occurs outside a function, it doesn't record the time it takes. Consider this program 'array.r': Rprof() foo <-

Hi, >From reading ?Rprof, I checked R CMD Rprof --help and learned that there are options to specify the min % to print. This is currently (R-devel r52975) displayed with the --help option as --min%total minimum % to print for 'by total' --min%self minimum % to print for 'by self' So I tried R CMD Rprof --min%total 5 and got an error. After looking at

Rprof seems to ignore all time spent inside system() calls. E.g., this simple example actually takes about 10 seconds, but Rprof thinks the total time is only 0.12 seconds: > Rprof("sleep-system.out") ; system.time(system(command="sleep 10")) ; Rprof(NULL) user system elapsed 0.000 0.004 10.015 > summaryRprof("sleep-system.out")$by.total

Yes. It should have something to do with read/write permissions, but it is not clear how it happens. I can write file to C drive using R. I usually write my results matrix to a txt file in C drive. For Rprof(), the boot.out file can be created, but only with one line sample.interval=20000 The situation is the same even if I specify the directory to the D drive,where I have the full

Sorry, this might be a really basic question, but I'm trying to interpret the results from memory profiling, and I have a few questions (marked by *Q#*). From the summaryRprof() documentation, it seems that the four columns of statistics that are reported when setting memory.profiling=TRUE are - vector memory in small blocks on the R heap - vector memory in large blocks (from malloc) - memory

I needed the following patch to be able to use gprof with profiled build. regards, Benoit --- a/Makefile.rules (revision 37946) +++ b/Makefile.rules (working copy) @@ -212,6 +212,7 @@ CXX.Flags := $(OPTIMIZE_OPTION) -pg -g C.Flags := $(OPTIMIZE_OPTION) -pg -g LD.Flags := $(OPTIMIZE_OPTION) -pg -g + KEEP_SYMBOLS := 1 else ifeq ($(ENABLE_OPTIMIZED),1) BuildMode := Release

I'm trying to use Rprof() to identify bottlenecks and speed up a particullary slow section of code which reads in a portion of a tif file and compares each of the values to values of predictors used for model fitting. I've written up an example that anyone can run. Generally temp would be a section of a tif read into a data.frame and used later for other processing. The first portion

Hi Consider the following example: f <- function(expr) g(expr) g <- function(expr) { ? h(expr) } h <- function(expr) { ? expr # evaluation happens here ? i(expr) } i <- function(expr) { ? expr # already evaluated, no costs here ? invisible() } rprof <- tempfile() Rprof(rprof) f(replicate(1e2, sample.int(1e4))) Rprof(NULL) cat(readLines(rprof), sep = "\n") #>