[Sidefx-houdini-list] Houdini, sims & workstation specs

Cristobal Infante cgcris at gmail.com
Thu Apr 2 06:34:32 EDT 2015


I was looking at something similar for a bit, and thought the supermicro
machines could be an option, with up to 1TB of ram:

http://www.supermicro.co.uk/products/nfo/superworkstation.cfm

Does anyone have one?



On 2 April 2015 at 10:25, Ron Schab <ron.schab at gmail.com> wrote:

> Thanks Marten.
> I've never bothered checking that "show details" box in the "About"
> window.  Tons of great info in there!!!!
>
> As I said before I haven't had much time to play around with the new laptop
> yet ... and this just showed me whilst Houdini recognizes my quadro, for
> openCL it uses the integrated IntelCard!!!???!!!  Now off to research how
> to force Houdini's OpenCL to use my Quadro ... but that will have to be
> after the holidays I guess.
>
> Happy Easter evrybody
>
>
>
> On Wed, Apr 1, 2015 at 8:13 PM, Marten Blumen <martyb at gmail.com> wrote:
>
> > Thanks Jordan.  Ron, sounds right, all motherboards have ram attached to
> > their CPUs. Afaik Numa comes into play when the 'other' Cpu needs to
> shift
> > large amounts of ram to process on certain operations, i.e. such as the
> > pressure projection solve on high-res sims.  The larger the sim, the more
> > this should occur. In Houdini I think it's controlled by the Intel's
> > Threading Building Blocks. Overall, it's not something too much to care
> > about, but I do :)
> >
> > Btw it gets very interesting to dig into distributed computing; if you're
> > curious, check out Lamport timestamps & Vector clocks.. it's kind of
> > amazing that distributed computing works :)
> >
> >
> http://research.microsoft.com/en-us/um/people/lamport/pubs/time-clocks.pdf
> > http://en.wikipedia.org/wiki/Vector_clock
> > https://www.threadingbuildingblocks.org
> >
> > For checking OpenCL ram allocation,  Houdini's About dialog is accurate.
> >
> > On 2 April 2015 at 03:12, Jordan Halsey <jordanhalsey at gmail.com> wrote:
> >
> > > Marten,
> > >
> > > Will do.
> > >
> > > There is a tool in the Nvidia distro's called nvidia-smi
> > > <https://developer.nvidia.com/nvidia-system-management-interface>.exe
> > that
> > > will display gpu stats while in process.
> > >
> > >
> > > *Jordan Halsey*
> > > *maya | houdini | nuke | ae*
> > > *www.jordanhalsey.com <http://www.jordanhalsey.com>*
> > > *323-273-9995*
> > >
> > > On Wed, Apr 1, 2015 at 1:17 AM, Ron Schab <ron.schab at gmail.com> wrote:
> > >
> > > > Hey Marten,
> > > >
> > > > thanks for the heads up re DualCPU's.  However if I am not mistaken
> the
> > > > Z800's are setup that each CPU has it's own set of memory banks
> > allocated
> > > > to it ... aka 96gb max per CPU, which isn't that bad still.
> > > >
> > > > " The HP Z800 supports a maximum amount of dual in-line memory
> modules
> > up
> > > > to 96GB in a single processor configuration and 192GB in a dual
> > processor
> > > > configuration. " (
> > > >
> > >
> >
> http://www.servermonkey.com/parts-and-upgrades/memory/hp/z800-memory.html)
> > > >
> > > >
> > > > I've also got an 8GB nvidia quadro in my laptop, which I been meaning
> > to
> > > > test openCL with ... just haven't gotten around to it ... I could
> run a
> > > > quick test, but not sure how to check the gpu ram usage on windows.
> > How
> > > > would I reliable check how much gRam is used vs it "swapping"?
> > > >
> > > > cheers
> > > > Ron
> > > >
> > > >
> > > >
> > > > On Wed, Apr 1, 2015 at 5:53 AM, Marten Blumen <martyb at gmail.com>
> > wrote:
> > > >
> > > > > Perfect! In 'About Houdini' there is an OpenCL section, look for:
> > > Device
> > > > > Address Bits & Global Memory.
> > > > >
> > > > > Thanks!
> > > > >
> > > > >
> > > > >
> > > > > On 1 April 2015 at 16:45, Jordan Halsey <jordanhalsey at gmail.com>
> > > wrote:
> > > > >
> > > > > > I have the titan coming in this week or early next , as well
> Nvidia
> > > > > dropped
> > > > > > off a m6000 the other day which I am looking forward to
> installing
> > > and
> > > > > > testing.
> > > > > >
> > > > > > What do you need to do?
> > > > > >
> > > > > >
> > > > > >
> > > > > >
> > > > > > *Jordan Halsey*
> > > > > > *maya | houdini | nuke | ae*
> > > > > > *www.jordanhalsey.com <http://www.jordanhalsey.com>*
> > > > > > *323-273-9995*
> > > > > >
> > > > > > On Tue, Mar 31, 2015 at 8:20 PM, Marten Blumen <martyb at gmail.com
> >
> > > > wrote:
> > > > > >
> > > > > > > We need someone to test the Titan X 12Gig; the Nvidia drivers
> for
> > > > > OpenCL
> > > > > > > are 32bit afaik, which means OpenCL is limited to 4GB. AMD
> > drivers
> > > > > which
> > > > > > > are 64bit(?) allows 4GB+ for OpenCL
> > > > > > >
> > > > > > > On 1 April 2015 at 16:08, Marten Blumen <martyb at gmail.com>
> > wrote:
> > > > > > >
> > > > > > > > Numa is non-uniform memory access - each cpu has a bank of
> > memory
> > > > > > > > physically located next to it, for speed, and Numa is when
> the
> > > > other
> > > > > > cpu
> > > > > > > > needs to access that bank of Ram. That connection is the
> Quick
> > > Path
> > > > > > > > Interconnect and is not as fast as the connection from CPU to
> > > it's
> > > > > > local
> > > > > > > > ram.
> > > > > > > >
> > > > > > > > http://en.wikipedia.org/wiki/Non-uniform_memory_access
> > > > > > > >
> > > > > > > > On 1 April 2015 at 15:57, Jordan Halsey <
> > jordanhalsey at gmail.com>
> > > > > > wrote:
> > > > > > > >
> > > > > > > >> Marten,  what is Numa?
> > > > > > > >>
> > > > > > > >> Zoran, I have the same machine, but added in a k5200 as well
> > as
> > > > the
> > > > > > > k4000
> > > > > > > >> and am extremely happy with the machine. I have been using
> > > > redshift
> > > > > > > render
> > > > > > > >> which can use both cards and is wicked fast.
> > > > > > > >>
> > > > > > > >> The new Titan 12 gig came out which is probably what I would
> > buy
> > > > at
> > > > > > this
> > > > > > > >> point.
> > > > > > > >>
> > > > > > > >>
> > > > > > > >> *Jordan Halsey*
> > > > > > > >> *maya | houdini | nuke | ae*
> > > > > > > >> *www.jordanhalsey.com <http://www.jordanhalsey.com>*
> > > > > > > >> *323-273-9995*
> > > > > > > >>
> > > > > > > >> On Tue, Mar 31, 2015 at 2:54 PM, Marten Blumen <
> > > martyb at gmail.com>
> > > > > > > wrote:
> > > > > > > >>
> > > > > > > >> > All sounds good but beware of Numa with more than one CPU.
> > The
> > > > qpi
> > > > > > > hyper
> > > > > > > >> > transport between multiple CPUs can be a bottle neck
> > compared
> > > > to a
> > > > > > > >> single
> > > > > > > >> > processor, in theory.
> > > > > > > >> >
> > > > > > > >> > On 1 April 2015 at 09:44, Zoran Arizanovic <
> > > > > > > zoran.arizanovic at gmail.com>
> > > > > > > >> > wrote:
> > > > > > > >> >
> > > > > > > >> > > agree completely
> > > > > > > >> > > i have hpz800 with two xeons , ssd, 72gb ram
> > > > > > > >> > > the only mistake /problem with it I've put quadro 4000
> in
> > > > > > > >> > > and it overheats a lot
> > > > > > > >> > >
> > > > > > > >> > >
> > > > > > > >> > >
> > > > > > > >> > > Zoran Arizanovic
> > > > > > > >> > > LinkedIn <
> > > > > http://www.linkedin.com/pub/zoran-arizanovic/4/177/295>
> > > > > > > >> > >
> > > > > > > >> > >
> > > > > > > >> > > On Tue, Mar 31, 2015 at 8:40 PM, Ron Schab <
> > > > ron.schab at gmail.com
> > > > > >
> > > > > > > >> wrote:
> > > > > > > >> > >
> > > > > > > >> > > > agreed with above.
> > > > > > > >> > > >
> > > > > > > >> > > > If you are on a budget I can recommend the HP Z800's.
> I
> > > got
> > > > a
> > > > > > > barely
> > > > > > > >> > used
> > > > > > > >> > > > dual hexacore for 700Euros (12 months warranty
> > included).
> > > > It
> > > > > is
> > > > > > > not
> > > > > > > >> > the
> > > > > > > >> > > > newest nor fastest HW u can get these days, but they
> are
> > > > still
> > > > > > > >> really
> > > > > > > >> > > good
> > > > > > > >> > > > and take up to 192gb of RAM ... just a thought :)
> > > > > > > >> > > >
> > > > > > > >> > > > cheers
> > > > > > > >> > > > Ron
> > > > > > > >> > > >
> > > > > > > >> > > >
> > > > > > > >> > > > On Tue, Mar 31, 2015 at 8:35 PM, Peter Bowmar <
> > > > > > pbowmar at gmail.com>
> > > > > > > >> > wrote:
> > > > > > > >> > > >
> > > > > > > >> > > > > Oh, GPU is actually useful for Grain (Sand)
> > simulations,
> > > > so
> > > > > if
> > > > > > > you
> > > > > > > >> > > think
> > > > > > > >> > > > > you might do a lot of those, then a better graphics
> > card
> > > > > will
> > > > > > > >> > > potentially
> > > > > > > >> > > > > be useful there. Not as useful for Fluid or Pyro
> sims
> > > > > though,
> > > > > > > they
> > > > > > > >> > > never
> > > > > > > >> > > > > fit in the card's RAM except at preview resolutions.
> > > > > > > >> > > > >
> > > > > > > >> > > > > On 31 March 2015 at 11:34, Peter Bowmar <
> > > > pbowmar at gmail.com>
> > > > > > > >> wrote:
> > > > > > > >> > > > >
> > > > > > > >> > > > > > Yup, RAM > CPU > Diskspeed > graphics card. Spend
> > the
> > > > > least
> > > > > > > you
> > > > > > > >> can
> > > > > > > >> > > on
> > > > > > > >> > > > > the
> > > > > > > >> > > > > > graphics card and the most you can on RAM first
> > (64gb
> > > > the
> > > > > > > >> minimum)
> > > > > > > >> > > then
> > > > > > > >> > > > > > whatever is left on CPU :)
> > > > > > > >> > > > > >
> > > > > > > >> > > > >
> > > > > > > >> > > > >
> > > > > > > >> > > > >
> > > > > > > >> > > > > --
> > > > > > > >> > > > > Cheers,
> > > > > > > >> > > > >
> > > > > > > >> > > > > Peter B
> > > > > > > >> > > > >
> > > > > > > >> > > > > --Dinner is ruined!
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