search for: multiprocesses

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 about setting the variable to false when only a

OK, I give up and come grovelling, "Fork" was suggested at 18:23, 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

...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 same code as independently launched programs, I can achieve N=10+. However, this seems not to be always stable (whole...

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

Hi, I have installed Calibre using wine 1.3.22 . The program is not usable since adding/converting ebooks is not working. Running wine calibre-debug -g I get the following error: Exception in thread Thread-4: Traceback (most recent call last): File "threading.py", line 530, in __bootstrap_inner File "site-packages\calibre\utils\ipc\server.py", line 221, in run File

This sounds like a good idea to me! I can’t think of any common platform where you can’t get 2.7. Lets get rid of that legacy cruft! > On Feb 23, 2016, at 1:32 PM, Eric Christopher <echristo at gmail.com> wrote: > > Seems reasonable to me. Chris? > > On Mon, Feb 22, 2016, 8:40 PM Sean Silva via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at

...eau. >> >> 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 >> same code as independently launched programs, I can achieve N=10+. However, >> t...

Great! I'll circle around to this at some point. Despite the "obvious" nature of it I still am wary of underestimating the cruftiness of the buildbots, so I'll probably do it some time at night when the bots are mostly green so that I can easily see if any bots *are* broken by this. -- Sean Silva On Tue, Feb 23, 2016 at 6:55 PM, Chris Matthews <chris.matthews at

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?

...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 > same code as independently launched programs, I can achieve N=10+. However, > this seems not to be...

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

Happy new year to all; A few days ago, I posted similar problem. At that time, I found out that our R program had been 32-bit compiled, not 64-bit compiled. So the R program has been re-installed in 64-bit and run the same job, reading in 150 Affymetrix U133A v2 CEL files and perform dChip processing. However, the memory problem happened again. Since the amount of physical memory is 64GB, I think

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. > > ... >

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

Hello, I wish to get some feedback on the use of Xapian in a virtual machine hosting plan with 360MB. The processes to share the 360MB will be the following: 0. nginx web server as front (estimated 5MB) 1. custom C++ FastCGI for dynamic requests (estimated 10MB) 2. Xapian writer (1 process and 1 thread) 3. Xapian readers (1 process with n threads for n readers) 4. PostgreSQL (estimated 50MB

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.

Hello, after the reply of Jerome Alet, I forward our questions to you. I hope it is now the right place to put it. Could you please send your answers, questions, comments to interopcast-general@nongnu.org so everyone in the group can get a copy of it. Thank you. ----- Original Message ----- From: "Jerome Alet" <alet@librelogiciel.com> To: <interopcast-general@nongnu.org>

Buenas, Estoy intentando que al ejectuar un boton en shiny me cargue de manera asincrona dos consultas. Una es a una consulta sql pesada (tarda 10 segundos) y la otra es una sql ligera (tarda 0 segundos). Intento que el resultado de la consulta ligera se muestre mientras se espera al resulatdo de la consulta pesada, pero no lo consigo. Estoy usando promises con future, en linux, pero no me

Hello in dmesg I always have these informations (I tested several kernels between 3.7 and 3.16-rc3): [ 13.742006] nouveau E[ DRM] Pointer to TMDS table invalid [ 13.742036] nouveau [ DRM] DCB version 4.0 [ 13.742038] nouveau E[ DRM] Pointer to flat panel table invalid [ 13.742079] nouveau [ DRM] ACPI backlight interface available, not registering our own [ 13.742082]