Path: csiph.com!x330-a1.tempe.blueboxinc.net!usenet.pasdenom.info!news.albasani.net!feeder.erje.net!news.musoftware.de!wum.musoftware.de!fu-berlin.de!uni-berlin.de!individual.net!not-for-mail From: Gregory Ewing Newsgroups: comp.lang.python Subject: Re: Python CPU Date: Mon, 04 Apr 2011 19:47:31 +1200 Lines: 12 Message-ID: <8vtbclF7q4U1@mid.individual.net> References: <01bd055b-631d-45f0-90a7-229da4a9a362@t19g2000prd.googlegroups.com> <8vps7tF9vuU1@mid.individual.net> <4d97f125$0$29992$c3e8da3$5496439d@news.astraweb.com> <4d981eb5$0$10581$742ec2ed@news.sonic.net> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 7bit X-Trace: individual.net rh1IDxOZETkLOg1SwmV8LglTmHinKNXlpao7+CnkCIdAV9EwLg Cancel-Lock: sha1:XIb/qPfn6OsatQ+q2o7wI/w05FQ= User-Agent: Mozilla Thunderbird 1.0.5 (Macintosh/20050711) X-Accept-Language: en-us, en In-Reply-To: <4d981eb5$0$10581$742ec2ed@news.sonic.net> Xref: x330-a1.tempe.blueboxinc.net comp.lang.python:2556 John Nagle wrote: > A tagged machine might make Python faster. You could have > unboxed ints and floats, yet still allow values of other types, > with the hardware tagging helping with dispatch. But it probably > wouldn't help all that much. It didn't in the LISP machines. What might help more is having bytecodes that operate on arrays of unboxed types -- numpy acceleration in hardware. -- Greg