<div dir="ltr">Hello,<br> I'm currently working for a university Master Degree project on an update to Stackless Python to make it distributed. If everything goes well, we could get soon the possibility to make tasklets communicate using networked channels and an easy way to migrate tasklets from an interpreter to another (on the same host or on another networked host). I'm currently beginning the programming phase of my project and I need to make something that works, at least in some simple way, quickly. Right now I'm working on PyPy's Stackless implementation to ease the development part but this work could be ported back to Stackless itself after. I'll keep you updated.<br>
<br>Gabriel Lavoie<br><br><div class="gmail_quote">2008/8/29 nicolas stein <span dir="ltr"><<a href="mailto:n.stein@internike.com">n.stein@internike.com</a>></span><br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<br>
Hi all,<br>
<br>
I just started to play a bit with stackless examples and idioms.<br>
<br>
I'd like to build an architecture with several "engines".<br>
<br>
This separation is for clarity, scalability and security (An engine can<br>
die but the others are still working).<br>
<br>
Each "engine" would perform a high number of concurrent tasks, that are<br>
conceptually inter-related (clarity).<br>
Stackless seem to be a great choice for writing these engines.<br>
<br>
The question is how to have these engines exchanging information as fast<br>
as possible.<br>
<br>
I was wondering if something exists to make stackless channels talk<br>
across processes (possibly across different hardwares).<br>
Maybe TCP/IP super-channels ?<br>
<br>
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</blockquote></div><br><br clear="all"><br>-- <br>Gabriel Lavoie<br><a href="mailto:glavoie@gmail.com">glavoie@gmail.com</a><br>
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