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[QUOTE=Xyzzy;309149]Four threads instead of eight:
[FONT=Courier New]linear algebra completed 427267 of 8241790 dimensions (5.2%, ETA 55h23m)[/FONT] :smile:[/QUOTE] [QUOTE=Batalov;309166]Thar' she blows![/QUOTE] After all I was right...something was not right. Mike, weren't you with HT off? |
[QUOTE]After all I was right...something was not right.
Mike, weren't you with HT off?[/QUOTE]We have HT turned on. Should we turn it off in the BIOS screen? Or is running just four threads the same effect? |
[QUOTE=Batalov;309174]At 0<d<∞, the attractiveness is a positive smooth function. [/QUOTE]Unwarranted assumption.
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To continue with off-topic:
[QUOTE=xilman;309191]Unwarranted assumption.[/QUOTE] Not only that, but even with the assumption made the claim does not follow. (What I would assume is: attractiveness is a lower-semicontinuous function [TEX]A[/TEX] of the distance on [TEX][0,\infty)[/TEX] with [TEX]A(0)=0[/TEX] and [TEX]\limsup_{d \to \infty}A(d)\le 0[/TEX]. However, lower-semicontinuity I cannot justify nor the loss of attractiveness at infinity.) |
[QUOTE=Xyzzy;309187]We have HT turned on. Should we turn it off in the BIOS screen? Or is running just four threads the same effect?[/QUOTE]
Don't do nothing. I am just amazed, as Jeff Gilchrist stated, that "Those virtual cores are getting in the way of progress it seems." When I was testing an i7 laptop I found that running 8 threads instead of only 4 cores was a little faster (sandy bridge processor) but passing from 90 hours (8T) to ~58 hours (4C) it is a reduction I was not expecting at all! Now I don't understand if I should invest on a 3rd generation core i5 or core i7 |
Doing just about anything with sparse matrices is black magic. I've thought that it would be a nice Master's thesis for someone to look at the low-level data structures and the (IMO crappy) core matrix multiply code and really take the time to tune it nicely on modern x86 architectures. The code everyone is using for that was mostly written in 2008.
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[QUOTE=jasonp;309199]Doing just about anything with sparse matrices is black magic. I've thought that it would be a nice Master's thesis for someone to look at the low-level data structures and the (IMO crappy) core matrix multiply code and really take the time to tune it nicely on modern x86 architectures. The code everyone is using for that was mostly written in 2008.[/QUOTE]
Maybe it's time to someone give you access to a remote Ivy Bridge processor so you can start tweaking the code. If I had the knowledge I would help. |
I wish I had the time to tweak anything...
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1 Attachment(s)
[QUOTE=pinhodecarlos;308802]Tomorrow I would like to start F1887. Lionel, please add the rest of the files, thank you.[/QUOTE]
Done. [code]prp76 factor: 4917013079084209537679070319124203745778083784210315661783186986368247867961 prp87 factor: 124973854268735122618747041792310619544286379392091899196205253675188127512652629327541 [/code] |
[QUOTE=xilman;309191]Unwarranted assumption.[/QUOTE]
Surely, for some individuals (mothers-in-law?), it could be a discontinuous all-negative function. We will not deal with this special case. It was a solution for a spherical poistively-attractive female in vacuum observed with an ideal, objective and infinitely sharp spherical eye ...also in vacuum! :smile: |
[QUOTE=Batalov;309208]Surely, for some individuals (mothers-in-law?), it could be a discontinuous all-negative function. We will not deal with this special case. It was a solution for a spherical poistively-attractive female in vacuum observed with an ideal, objective and infinitely sharp spherical eye ...also in vacuum! :smile:[/QUOTE]If the female is in vacuum for any length of time I very strongly doubt your assumption of positively attractive.
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