search for: multiprocess

Hi, unicorn unconditionally sets rack.multiprocess to true in the Rack environment. The Rack spec [0] says the following about the variable: "true if an equivalent application object may be simultaneously invoked by another process, false otherwise." When unicorn is running with a single worker this does not hold so what do you think ab...

...3, it's now 22:20 and I have been through 4 different methods, all block with a 2 second delay before returning to dialplan. Here are just some of the examples I have tried, as as per the suggestions, I am closing all possible outputs in the forked process. https://docs.python.org/3.5/library/multiprocessing.html https://docs.python.org/3.5/library/multiprocessing.html?highlight=multiprocessing#multiprocessing.Process.join https://stackoverflow.com/questions/19747371/python-exit-commands-why-so-many-and-when-should-each-be-used https://stackoverflow.com/questions/27624850/launch-a-completely-indepen...

...ble to pull this off with intel and ati graphics cards, but not with any nvidia card (tried a few of them), neither with the proprietary driver nor with noveau. Are there any specific tricks to achieve this? Or should I just use one context from one process, i.e. use multithreading instead of multiprocessing and avoid context switching alltogether? (is there something fundamentally wrong in my approach of multiprocesses and context switching?) Interestingly, when using N>2 multiprocesses (spanned with fork), only one of the textures is updating - the others freeze. However, when using the...

In the root llvm/CMakeLists.txt we have: if( ${PYTHON_VERSION_STRING} VERSION_LESS 2.7 ) message(FATAL_ERROR "Python 2.7 or newer is required") endif() But lit seems to still be stuck in a Python 2.5 world. For example, detectCPUs is redundant now that we have multiprocessing.cpu_count() (multiprocessing requires >=2.6). And there are a bunch of other Python 2.5 workarounds floating around inside lit. I'm actually not sure if there are 2.6 workarounds. Anyway, does anybody know if somehow, despite the CMake check, lit is still being run with Python <2.7 on...

...er.py", line 221, in run File "site-packages\calibre\utils\ipc\server.py", line 139, in launch_worker CriticalError: Failed to launch worker process: Traceback (most recent call last): File "site-packages\calibre\utils\ipc\server.py", line 149, in do_launch File "multiprocessing\connection.py", line 121, in accept File "multiprocessing\connection.py", line 373, in deliver_challenge IOError: [Errno 233] Pipe not connected It seems to me a bug with python. Firstly, I installed Python 2.7 and then 3.2... Still the same problem. I even deleted the wine di...

...e root llvm/CMakeLists.txt we have: > > if( ${PYTHON_VERSION_STRING} VERSION_LESS 2.7 ) > message(FATAL_ERROR "Python 2.7 or newer is required") > endif() > > But lit seems to still be stuck in a Python 2.5 world. For example, detectCPUs is redundant now that we have multiprocessing.cpu_count() (multiprocessing requires >=2.6). And there are a bunch of other Python 2.5 workarounds floating around inside lit. I'm actually not sure if there are 2.6 workarounds. > > Anyway, does anybody know if somehow, despite the CMake check, lit is still being run with Python...

...and ati graphics cards, but not with any nvidia card (tried a >> few of them), neither with the proprietary driver nor with noveau. >> >> Are there any specific tricks to achieve this? Or should I just use one >> context from one process, i.e. use multithreading instead of multiprocessing >> and avoid context switching alltogether? (is there something fundamentally >> wrong in my approach of multiprocesses and context switching?) >> >> Interestingly, when using N>2 multiprocesses (spanned with fork), only one >> of the textures is updating - the...

...ave: >> >> if( ${PYTHON_VERSION_STRING} VERSION_LESS 2.7 ) >> message(FATAL_ERROR "Python 2.7 or newer is required") >> endif() >> >> But lit seems to still be stuck in a Python 2.5 world. For example, >> detectCPUs is redundant now that we have multiprocessing.cpu_count() >> (multiprocessing requires >=2.6). And there are a bunch of other Python 2.5 >> workarounds floating around inside lit. I'm actually not sure if there are >> 2.6 workarounds. >> >> Anyway, does anybody know if somehow, despite the CMake check, l...

I use a python AGI which pulls some info from a web service, which should take half a second. Sometimes, it takes 5-10 seconds which blocks the dialplan execution, but the dialplan should continue immediately as it's not dependent on the AGI/web service data. What's the simplest, easiest quickest least-code way of firing off an AGI with some variable, and then returning to the dialplan?

...; off with intel and ati graphics cards, but not with any nvidia card (tried a > few of them), neither with the proprietary driver nor with noveau. > > Are there any specific tricks to achieve this? Or should I just use one > context from one process, i.e. use multithreading instead of multiprocessing > and avoid context switching alltogether? (is there something fundamentally > wrong in my approach of multiprocesses and context switching?) > > Interestingly, when using N>2 multiprocesses (spanned with fork), only one > of the textures is updating - the others freeze. Howe...

...at was the end of all useful work. I worked around the problem by rewriting the matrix multiply as ?colSums(x * t(y))?. It also worked to build R from source, which I guess uses the built-in BLAS and LAPACK. Would it make sense to add a parameter somewhere, to mclapply(), say, telling R to not use multiprocessing libraries? Does R even know whether a linked library is doing multi-processing? Does R build its own BLAS and LAPACK if its also linking external ones? Thanks, Rob [[alternative HTML version deleted]]

I'd like to continue the discussion about minimum Python versions from the "Use multiprocessing instead of threading" thread in its own thread because I feel it warrants additional discussion. In that thread, we were discussing maintaining support for Python 2.4 and 2.5. The latest response is: On Fri, Nov 30, 2012 at 1:40 PM, Daniel Dunbar <daniel at zuster.org> wrote: >...

On 2012-12-01 21:57, Gregory Szorc wrote: > I'd like to continue the discussion about minimum Python versions from the "Use multiprocessing instead of threading" thread in its own thread because I feel it warrants additional discussion. ... > For these reasons, I urge LLVM to drop support for Python older than 2.6. I would encourage requiring 2.7 (preferably the latest available release - 2.7.3 at this time) at the earliest...

...perform dChip processing. However, the memory problem happened again. Since the amount of physical memory is 64GB, I think it should not be a problem. Is there anyway we can configure memory usage so that all physical memory can be utilized? Our system is like this: System type: IBM AIX Symmetric Multiprocessing (SMP) OS version: SuSe 8 SP3a CPU: 8 Memory: 64GB The codes are as follows: > Data <- ReadAffy(filenames = paste(HOME, "CelData/", fname, sep="")) > eset <- expresso(Data, normalize.method="invariantset", bg.correct=FALSE, pmc\ orrect.method="pmonl...

On Sat, Dec 1, 2012 at 2:08 PM, Dimitry Andric <dimitry at andric.com> wrote: > On 2012-12-01 21:57, Gregory Szorc wrote: >> >> I'd like to continue the discussion about minimum Python versions from the >> "Use multiprocessing instead of threading" thread in its own thread because >> I feel it warrants additional discussion. > > ... > >> For these reasons, I urge LLVM to drop support for Python older than 2.6. >> I would encourage requiring 2.7 (preferably the latest available release -...

My name is Michael Frerichs and I am a part of a research team led by Dr. Krishna Kavi at the University of North Texas. Our current work focuses on optimizing dynamic memory for multiprocessor systems. We are interested in the LLVM infrastructure and the Automatic Pool Allocation technique. We believe this tool could be useful to our research and wondered if we could utilize your implementations of the Automatic Pool Allocation tool for multiprocessing applications. Thank you, Michael...

...st of the Linux OS. The main UI will be a Google style search box. Questions: 0. How would you configure Xapian for such low memory systems (e.g. how many readers, flush threshold for writer)? 1. Will file handle limitation be a problem for multithreaded Xapian reader? 2. What are advantages of multiprocess readers (compared to multithreaded) aside from crash isolation Thanks so much! Marlon

Hi, my video sharing website (politube.org) that I developed with rails, runs on lighttpd/fcgi (I know it is obsolete by now) and is severely under load and regularly blocks because the lighttpd process chews up 50% of RAM (1GB). So now I want to move the system to a new server with 8GB, 64bit , Quad core processor (intel i7 920) but I am not sure if hyperthreading will really do anything better.

...gt; > > > ---------------------------------------- > > > > What can ICECAST do with *.m3u files ? > > > > ---------------------------------------- > > > > This is probably a quite stupid question but I'd like to know why ICECAST > > isn't a multiprocessing application? The main problem is that global > > variables can be easily used in multithread applications but with > > difficulties in multiprocessing applications if modules are quite bound > > together. In ICECAST, something could probabaly be done to make the fserve > &gt...

...pesado y el ligero solo cuando se ha ejecutado ya el pesado. Para simular las consultas, eh creado la funcion heavyFunction.... Aqui os pongo mi código. ¿Qué creeis que puede estar pasando? Lo curioso es que si os fijais en la consola, si que funciona bien. library(future) library(promises) plan(multiprocess) heavyFunction <- function(n){ Sys.sleep(n) print(n) } ui <- fluidPage( actionButton("go","Show the data"), textOutput("result0sec"), textOutput("result10sec") ) server <- function(input,output,session){ data0 <- eventReactive(i...