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From |
Simon Moore <simoncmoore@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Upgrading from v9 to v10mp |

Date |
Sun, 01 Jul 2007 14:19:58 +0100 |

Dear Statalist,

There's several reasons why I'd like to upgrade from Stata 9 to Stata 10. But I have a question about MP and whether this is something I should be looking at (as I have dual core CPU).

From the info I've found (http://www.stata.com/statamp/) MP is suitable and *should* be faster for most analyses. The same info also states that not all processes will run in parallel, however. It would seem silly for me to pay extra only to find that the most computationally intensive work I do (which isn't a great deal) cannot make use of this extra processing power. So I was wondering whether anyone on Statalist might be able to offer some thoughts?

Probably the most intensive work involves such things as xtlogit and I've also looked at reoprob - with a large survey and bootstrapping would MP work through user written commands (i.e. reoprob) any faster? Other things that can take time include cycling through large -foreach num- lists and using postfile (neither reoprob nor postfile are covered in report.pdf at http://www.stata.com/statamp/) to generate a new dataset. Would these be noticeably quicker under MP?

What's my MP criteria? I suppose shaving 1 or 2 seconds of something that takes 1 or 2 seconds wouldn't be that useful, I just don't get another sip of coffee. Similarly, shaving a few hours off something that takes more 24 hours to run probably wouldn't mean that much as I'd be doing something else anyway. It's the 'not quite long enough to go do something useful' tasks where I'd find the extra speed most useful... are the time savings linear over problem size?

Any thoughts greatly appreciated

Simon

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**Follow-Ups**:**st: RE: Upgrading from v9 to v10mp***From:*"Brent Fulton" <fultonb@berkeley.edu>

**Re: st: Upgrading from v9 to v10mp***From:*"Austin Nichols" <austinnichols@gmail.com>

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