That gives "/home/cbinz/julia/usr/bin/../lib/julia/sys.so"
On Wednesday, August 26, 2015 at 2:47:06 PM UTC-4, Elliot Saba wrote: > > After Julia is loaded, run the following command and tell us what it > prints out; it will give us the same information as what Yichao is talking > about. > > filter( x -> contains(x, "sys.$(Sys.dlext)"), Sys.dllist()) > -E > > On Wed, Aug 26, 2015 at 11:43 AM, Chris <[email protected] <javascript:> > > wrote: > >> I have a sys.so in ~/julia/usr/lib/julia/, but I'm not sure how to run >> fuser or lsof to do what you're asking. >> >> On Wednesday, August 26, 2015 at 2:32:32 PM UTC-4, Yichao Yu wrote: >> >>> On Wed, Aug 26, 2015 at 2:20 PM, Chris <[email protected]> wrote: >>> > ipython is not installed, but `python` seems to run just fine. >>> > >>> > Nothing jumps out at me as taking very long with `strace julia`. >>> >>> Maybe do a lsof/fuser on the sys.so (should be in /usr/lib/julia/ or >>> similar directory) to see if it is actually loaded by julia? (Or if it >>> exists at all) >>> >>> > >>> > On Wednesday, August 26, 2015 at 2:14:48 PM UTC-4, Elliot Saba wrote: >>> >> >>> >> Do other interpreters such as `ipython` run slowly? >>> >> >>> >> If you run `strace julia`, it will print out system calls as they >>> execute. >>> >> Are there certain syscalls that are taking a long amount of time? >>> E.g. does >>> >> it freeze for a long time on an lstat(), or a read(), or something? >>> >> -E >>> >> >>> >> On Wed, Aug 26, 2015 at 11:09 AM, Chris <[email protected]> wrote: >>> >>> >>> >>> Nope, not NFS-mounted. >>> >>> >>> >>> >>> >>> On Wednesday, August 26, 2015 at 2:07:14 PM UTC-4, John Gibson >>> wrote: >>> >>>> >>> >>>> Run "df ~". That'll tell you where the file system containing your >>> home >>> >>>> directory is mounted. If it says "nfs:/...", it's NFS-mounted. >>> >>>> >>> >>>> John >>> >>>> >>> >>>> On Wednesday, August 26, 2015 at 11:12:48 AM UTC-4, Chris wrote: >>> >>>>> >>> >>>>> Hello, >>> >>>>> >>> >>>>> I recently got access to a new Linux machine, and I've been trying >>> to >>> >>>>> run some of my code there. I tried downloading a binary and using >>> that, but >>> >>>>> after I saw the performance issues, I built Julia from source, and >>> the >>> >>>>> issues persist. First: >>> >>>>> >>> >>>>> julia> @time versioninfo() >>> >>>>> Julia Version 0.3.12-pre+5 >>> >>>>> Commit 24138e7 (2015-08-20 17:19 UTC) >>> >>>>> Platform Info: >>> >>>>> System: Linux (x86_64-linux-gnu) >>> >>>>> CPU: Intel(R) Xeon(R) CPU E5-4650 0 @ 2.70GHz >>> >>>>> WORD_SIZE: 64 >>> >>>>> BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY >>> Sandybridge) >>> >>>>> LAPACK: libopenblas >>> >>>>> LIBM: libopenlibm >>> >>>>> LLVM: libLLVM-3.3 >>> >>>>> elapsed time: 40.533040322 seconds (142031648 bytes allocated, >>> 2.89% gc >>> >>>>> time) >>> >>>>> >>> >>>>> You can see that is quite a long time for the command to run (on >>> my >>> >>>>> Windows machine, it takes about 1.3 seconds). Startup itself is >>> quite slow, >>> >>>>> and even typing input immediately after startup is slow (the >>> characters take >>> >>>>> a few seconds just to show up). Loading a module that I use a lot >>> on Windows >>> >>>>> takes about 20 seconds, but loading that same module on the Linux >>> machine >>> >>>>> takes almost 9 minutes! >>> >>>>> >>> >>>>> Obviously something is wrong here, and I'm stumped. Any ideas? >>> >>>>> >>> >>>>> Thanks, >>> >>>>> Chris >>> >> >>> >> >>> > >>> >> >
