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Good morning,
Just to share some experience in Optimizing the Speed... Mainly in
compiling of data with the ATC instruction with loops...
1) Created a RAM Disk of 1G. Copy the Data Folder to the RAM Disk
and then use the Data in the RAM Disk do the compiling. (Only worth
doing if compile a couple of times a day.. It cut down from 16 mins
to 11 mins. )
2) MOVE the Data Folder to another physical drive. Then perform the
disk defragmenter on the Amibroker Drive a couple of times. Then
MOVE the Data Folder back to the original position.
3) Chop Down the number of bars in Data Base.
The Current system is Intel Core 2 @2.13GHz with 4G RAM.
Yet to try is to upgrade the system with RAID4 with 4 Disks and
Q9450.
Is there any one can comment on the experience with RAID5 system?
Best Regards
KH Tang
--- In amibroker@xxxxxxxxxxxxxxx, Dennis Brown <see3d@xxx> wrote:
>
> It also makes me wonder if there is another possibility for speed
> optimization. I run more than 1 RT chart at the same time to get
> multi-timeframe results that are not possible in a single chart --
then
> pass results between the charts. It seems as though parallel
> processing would be possible between multiple "live" indicator
mode
> charts. Maybe I will have to get the 8 core system next time :)
>
> Best regards,
> Dennis
>
> On May 14, 2008, at 10:13 AM, dloyer123 wrote:
>
> > Interesting result. It is reasonable to expect newer and future
> > processors to have even larger caches. 6MB on the E8400
> >
> > So, there may be an opportunity to get useful work out of the
other
> > cores during long optimization runs. Maybe large "work units"
such
> > as symbols lists or entire optimization passes to minimize sync
> > overhead?
> >
> > That also implies that user formula code could be optimized if we
> > group array access together, ie use a result right after it is
> > created, so it can be pulled out of cache, rather than wait until
> > later in the code. I will have to try this...
> >
> >
> >
> > --- In amibroker@xxxxxxxxxxxxxxx, "Tomasz Janeczko" <groups@>
> > wrote:
> >>
> >> Hello,
> >>
> >> I just run the same code on my relatively new notebook (Core 2
Duo
> > 2GHz (T7250))
> >> and the loop takes less than 2ns per iteration (3x speedup). So
it
> > looks like the data sits entirely inside the cache.
> >> This core 2 has 2MB of cache and thats 4 times more than on
Athlon
> > x2 I got.
> >>
> >>> If what you say is true, and one core alone fills the memory
> >>> bandwidth, then there should be a net loss of performance while
> >>> running two copies of ami.
> >>
> >> It depends on complexity of the formula and the amount of data
per
> > symbol
> >> you are using. As each array element has 4 bytes, to fill 4 MB of
> > cache
> >> you would need 1 million array elements or 100 arrays each having
> > 10000 elements
> >> or 10 arrays each having 100K elements. Generally speaking people
> > testing
> >> on EOD data where 10 years is just 2600 bars should see speed up.
> >> People using very very long intraday data sets may see
degradation,
> > but
> >> rather unnoticeable.
> >>
> >> Best regards,
> >> Tomasz Janeczko
> >> amibroker.com
> >
> >
> > ------------------------------------
> >
> > Please note that this group is for discussion between users only.
> >
> > To get support from AmiBroker please send an e-mail directly to
> > SUPPORT {at} amibroker.com
> >
> > For NEW RELEASE ANNOUNCEMENTS and other news always check DEVLOG:
> > http://www.amibroker.com/devlog/
> >
> > For other support material please check also:
> > http://www.amibroker.com/support.html
> > Yahoo! Groups Links
> >
> >
> >
>
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