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Hi Mark,<br>
<br>
This is a great start. I have one quick question: have we
verified that the reconstruction rate for the 10^8 data is the same
as the 10^7? Even though the event rate to disk will be the same, I
can imagine the 10^8 data being busier and therefore, take longer to
process. They are hopefully comparable, but we should verify it if
it hasn't been already. <br>
<br>
I'd also like to follow up a little on the discussion started a
while back on the how the GRID is to be included in the computing
plan. It seems clear that our collaborators feel this will be an
important part of the GlueX experiment's operation. Chip has
indicated though that supporting it from the JLab side has
significant resource costs and must be clearly justified. Has there
been any discussion as to what exactly these costs are? I thought
from earlier conversations that this was a manpower cost on the JLab
side, but at this point, I don't know what is required. The Physics
Division maintains several software packages already (ROOT, CERNLIB,
Xerces,...) are there additional resources besides software
maintenance? I know the our original CDR called for something like
an OC24 connection due to the anticipated high bandwidth usage. Are
there other hardware costs involved?<br>
<br>
We'll need to start gathering cost information as we develop the
benefit argument in order to make a valid cost-benefit analysis.<br>
<br>
Regards,<br>
-David<br>
<br>
<br>
<br>
On 2/15/11 2:33 PM, Heyes Graham wrote:
<blockquote cite="mid:008DECAA-9978-4908-97B8-4A33154B7FB7@jlab.org"
type="cite">Thanks Mark, that's number overload. I'll make a quick
pass at comparing this data with what Chip had from a few years
ago.
<div><br>
</div>
<div>Maybe something by late tomorrow. </div>
<div><br>
</div>
<div>Graham<br>
<div><br>
<div>
<div>On Feb 15, 2011, at 2:24 pm, Mark M. Ito wrote:</div>
<br class="Apple-interchange-newline">
<blockquote type="cite">
<div text="#000000" bgcolor="#ffffff"> Folks,<br>
<br>
Find attached a spreadsheet that estimates our computing
needs. First the caveats:<br>
<ul>
<li>this is not the finished product</li>
<li>it has to be translated into terms for Graham's
spreadsheet</li>
<li>some of the numbers are still guesses</li>
<li>PWA is nowhere included</li>
<li>there will have to be a GlueX Note on this
eventually</li>
<li>things could be much better organized in the
spreadsheet</li>
<li>my spreadsheet skill could use an upgrade</li>
<li>the estimates do not distinguish between
JLab-resident and non-JLab-resident resources</li>
<li>the way we refer to "CPU's" needs to more
sophisticated (SPEC-int-like). <br>
</li>
</ul>
All of these will have to addressed. Still I thought
that putting this out for discussion now would be better
than waiting. So here it is.<br>
<br>
I am assuming steady state. The idea is that we need to
do all of these things for each set of data we take
(take the data, calibrate it, reconstruct it, compact it
into multiple streams, simulate it, reconstruct the
simulation...). If we do them all at a rate slower than
that at which we take the data, we will fall farther and
farther behind as the years go on. So to avoid that we
have to keep up with the raw rate. There will be an
initial ramp up and there may be long will be down
periods, but eventually we will be doing all of these
things on each set and I am not accounting in detail for
the aforementioned edge effects.<br>
<br>
Note also that I assume the raw rate for this discussion
is after a level three trigger, and that the at 10^7 the
level three rejection rate is 0 and at 10^8 it is a
factor of ten; i. e., independent of beam rate.<br>
<br>
On PWA: if people already have a good way of framing our
needs in this area, let me know. I haven't looked
through our notes or web pages on this yet.<br>
<br>
-- Mark<br>
<br>
<br>
</div>
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