May or may not be your issue but make sure you don't have something 
installed that uses Error.prepareStackTrace and friends to grab the 
callsites, there's a few such as "longjohn" (or most of the long stack 
trace modules), and the sentry client, both of those produce really horrid 
cpu usage

On Monday, 9 December 2013 22:13:43 UTC-8, Aaron Boyd wrote:
>
> Some quick tests seemed to corroborate what Ben was saying about 
> epoll_wait(), but I haven't had enough time to really confirm that.
>
> Regarding my overall performance problems, I threw hardware at them for 
> now...
>
> Wish I could be of more help.  I will at some point return to profiling my 
> nodejs app in more detail and will be more than happy to share my findings.
>
>
> On Tuesday, December 3, 2013 1:33:08 AM UTC-8, Roman Podlinov wrote:
>>
>> Aaron,
>>
>> can you please share your progress?
>> We have the same issue with libc and node js
>>
>> http://stackoverflow.com/questions/20260544/node-js-lower-performance-on-ubuntu-12-04-3-because-of-libc
>>
>>
>> On Wednesday, October 2, 2013 10:41:09 PM UTC+4, Aaron Boyd wrote:
>>>
>>> Thanks Ben.  We're making some progress (I've been working with Ken on 
>>> this).  Installing binutils helped, as did slamming the CPU harder.
>>>
>>> We're banging around trying to get a top-down tree (tweaking 
>>> linux-tick-processor).
>>>
>>> +1 for filtering out epoll, or anything else that makes it so you don't 
>>> have to slam the cpu as a prerequisite to profiling.
>>>
>>> A general challenge has been getting confident that we're seeing the 
>>> whole picture (e.g., now i'm often seeing "syscall" at 47% with no break 
>>> down) so we don't waste time optimizing a small bit.
>>>
>>> -aaron
>>>
>>>  
>>>
>>>
>>> On Tuesday, October 1, 2013 9:29:30 PM UTC-7, Ben Noordhuis wrote:
>>>>
>>>> On Wed, Oct 2, 2013 at 5:34 AM, Ben Noordhuis <[email protected]> 
>>>> wrote: 
>>>> > On Wed, Oct 2, 2013 at 12:48 AM, Kenneth Gunn <[email protected]> 
>>>> wrote: 
>>>> >> Hi! 
>>>> >> 
>>>> >> 
>>>> >> My team is developing a service in node. We are experiencing high 
>>>> CPU 
>>>> >> utilization and are attempting to profile, but are having a hard 
>>>> time 
>>>> >> getting a sufficient picture of what’s going on.  We have experience 
>>>> >> profiling in various other environments, but this is our first crack 
>>>> at 
>>>> >> node. 
>>>> >> 
>>>> >> 
>>>> >> We've tried a few different tools (including nodetime.com, which 
>>>> has been 
>>>> >> useful for some things), and have spent most of our time with the v8 
>>>> >> profiler. The main problem is that our viewable results only cover a 
>>>> small 
>>>> >> portion of the program runtime. More than 80% of the time is spent 
>>>> in 
>>>> >> libc.so, and that time isn't rolled up by function or caller in the 
>>>> node 
>>>> >> program. Also, the C++ section, which I would expect to contain 
>>>> events in 
>>>> >> the v8 interpreter itself, is empty. (Below, I'm including an 
>>>> abbreviated 
>>>> >> output from the v8 tick processor.) 
>>>> > 
>>>> > You need to have the binutils package installed.  The tick processor 
>>>> > uses `nm` to map addresses to symbol. 
>>>> > 
>>>> > Small nomenclature nit: V8 is a just-in-time compiler, not an 
>>>> interpreter. 
>>>> > 
>>>> >> We're aware that the v8 profiling output changes frequently, and 
>>>> we've 
>>>> >> managed to figure out how to get the right tick processor version 
>>>> that 
>>>> >> corresponds to the node version we are using. (Our steps are here: 
>>>> >> https://gist.github.com/kennethgunn/6770664 ) We've seen very 
>>>> similar 
>>>> >> results with versions of node ranging from v0.8.9 to v0.10.18. 
>>>> >> 
>>>> >> 
>>>> >> Is libc actually responsible for 80+% of the CPU time?  If so, how 
>>>> do we 
>>>> >> roll that up to the the higher level code leading to those calls? 
>>>>  Does it 
>>>> >> sound like we're missing something here, or is there another set of 
>>>> tools we 
>>>> >> should consider using? Your help is greatly appreciated! 
>>>> > 
>>>> > That's probably node.js sleeping in the epoll_wait() system call. 
>>>> > Future versions of node.js will filter out such ticks but right now 
>>>> > that's not possible, you have to keep your application busy when 
>>>> > profiling. 
>>>>
>>>> Forgot to mention, you can get a reasonable approximation of non-idle 
>>>> time by passing -j or --js to the tick processor.  That filters out 
>>>> samples that aren't accountable to JS land. 
>>>>
>>>

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