memory-profiling

I am trying use profiling to see which part of my code is reposponsible for the maximum usage of 3GB of memory (as reported by gc() statistic on maximum used memory, see here how ). I am running memory profiling like this: Rprof(line.profiling = TRUE, memory.profiling = TRUE) graf(...) # ... here I run the profiled code Rprof(NULL) summaryRprof(lines = "both", memory = "both") And the output is the following: $by.total total.time total.pct mem.total self.time self.pct "graf" 299.12 99.69 50814.4 0.02 0.01 #2 299.12 99.69 50814.4 0.00 0.00 "graf.fit.laplace" 299.06 99.67 50787.2 0.00 0.00

I am able to generate *.dat file: vikas@server:~/memory_profiler-0.36$ ./mprof run --python test_sl.py vikas@server:~/memory_profiler-0.36$ ls *.dat mprofile_20151001035123.dat But when I am trying to plot graph then it is saying "matplotlib is needed for plotting" vikas@server:~/memory_profiler-0.36$ ./mprof plot --output=plot.png matplotlib is needed for plotting. Did I miss anything? Function I am profiling is run() which is inside: file_to_be_profiled.py #!/usr/bin/python import time import os, sys, commands from memory_profiler import profile from guppy import hpy @profile def run(): d =

I've got a kiosk app, which, essentially shows a bunch of slides with various bits of information on them. I initially began coding this over a year ago, when I was beginning with Objective-C and iOS development. I find that my code style is much cleaner now than what it was, and I'm much more experienced, so I've decided to rewrite from scratch. I ran my app with the Allocations instrument to see what the memory usage was. Considering that this is a kiosk app, everything needs to run smoothly, without leaks. (Of course all apps need to run without leaks, but a kiosk app makes this an even

R has some tools for memory profiling, like Rprofmem() , Rprof() with option "memory.profiling=TRUE" and tracemem() . The last one can only be used on objects, and hence is useful to follow how many times an object is copied, but doesn't give an overview on a function basis. Rprofmem should be able to do that, but the output of even the simplest function call like lm() gives over 500 lines of log. I tried to figure out what Rprof("somefile.log",memory.profile=T) actually does, but I don't think I really get it. The last I could find was this message of Thomas Lumley , saying that, and I quote

I have a numpy script that -- according to top -- is using about 5GB of RAM: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 16994 aix 25 0 5813m 5.2g 5.1g S 0.0 22.1 52:19.66 ipython Is there a memory profiler that would enable me to get some idea about the objects that are taking most of that memory? I've tried heapy , but guppy.hpy().heap() is giving me this: Partition of a set of 90956 objects. Total size = 12511160 bytes. Index Count % Size % Cumulative % Kind (class / dict of class) 0 42464 47 4853112 39 4853112 39 str 1 22147 24 1928768 15 6781880 54 tuple 2 287 0 1093352 9

How can I programmatically get memory usage (JS and total) of my website in Google Chrome? I looked at doing it from a Chrome extension using the undocumented HeapProfiler (see here ), but I can't find a way to get data from that. I want to measure the memory consumption it at every release, so this needs to be programmatic. EDIT: I figured out how to get the HeapProfiler method to work. Each addHeapSnapshotChunk event has a chunk of a JSON object. chrome.browserAction.onClicked.addListener(function(tab) { var heapData, debugId = {tabId:tab.id}; chrome.debugger.attach(debugId, '1.0', function(