Hello all!<div><br></div><div>I just wanted to inform the PyPy team that my paper got accepted in <a href="http://ictai12.unipi.gr/">ICTAI 2012</a>, and I presented it a few days ago.</div><div>You can find the paper <a href="http://www.earthobservatory.eu/publications/IEEE2012.pdf">here</a> and the presentation <a href="http://cgi.di.uoa.gr/~sioutis/files/PyRCC8p.pdf">here</a>.</div>
<div><br></div><div>It felt good to disseminate a bit Python and PyPy :)</div><div><br></div><div>My next (long term) step is to use PyPy to parallelize some graph operations.</div><div><br></div><div>Regards,</div><div>Mike<br>
<br><div class="gmail_quote">On Tue, Jul 3, 2012 at 11:28 PM, Michael Sioutis <span dir="ltr">&lt;<a href="mailto:papito.dit@gmail.com" target="_blank">papito.dit@gmail.com</a>&gt;</span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Dear PyPy team,<div><br></div><div>I am in the process of writing a paper that will target some AI conference, and I would like</div><div>to ask if there are any relevant publications of yours or in general that showcase the possible advantages</div>

<div>of trace-based JIT compilation over method-based JIT compilation or static compilation.</div><div><br></div><div>I just want to use 2 or 3 of them as references when I explain why my implementation is more scalable</div>

<div>and robust when compared to some C/C++/Java implementations (appart from different data structures and</div><div>algorithms).</div><div><br></div><div>Thank you :)</div><div><br></div><div>Mike</div>
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