Hi Vincent!
On 04.04.11 21:16, Vincent Diepeveen wrote:
> latency is superior of quadrics compared to all the infini* stuff.
Quadrics was great stuff - but it was outperformed once Mellanox invited
their ConnectX chips. Additional the Quadrics team never got their PCIe
chips (QSnet III) to fly. F
On Mon, Apr 04, 2011 at 09:54:37AM -0700, Massimiliano Fatica wrote:
> If you are old enough to remember the time when the first distribute
> computers appeared on the scene,
> this is a deja-vu.
Not to mention the prior appearance of array processors. Oil+Gas
bought a lot of those, too. Some imp
well, for your application, which is quite narrow.
>>>
>>> Which is about any relevant domain where massive computation takes place.
>>
>> you are given to hyperbole. the massive domains I'm thinking of
>> are cosmology and explicit quantum condensed-matter calculations.
>> the experts in t
On Apr 4, 2011, at 11:54 PM, Mark Hahn wrote:
>>> well, for your application, which is quite narrow.
>>
>> Which is about any relevant domain where massive computation takes
>> place.
>
> you are given to hyperbole. the massive domains I'm thinking of
> are cosmology and explicit quantum conde
>> well, for your application, which is quite narrow.
>
> Which is about any relevant domain where massive computation takes place.
you are given to hyperbole. the massive domains I'm thinking of
are cosmology and explicit quantum condensed-matter calculations.
the experts in those fields I talk
On Apr 4, 2011, at 10:20 PM, Mark Hahn wrote:
>> GPU's completely annihilate cpu's everywhere.
>
> this is complete nonsense. GPUs do very nicely on a quite narrow
> set of problems. for a somewhat larger set of problems, they do OK,
> but pretty "meh", really, considering. for many problems
> GPU's completely annihilate cpu's everywhere.
this is complete nonsense. GPUs do very nicely on a quite narrow
set of problems. for a somewhat larger set of problems, they do OK,
but pretty "meh", really, considering. for many problems, GPUs
are irrelevant, whether that's because the proble
On Apr 4, 2011, at 6:54 PM, Massimiliano Fatica wrote:
> If you are old enough to remember the time when the first distribute
> computers appeared on the scene,
> this is a deja-vu. Developers used to program on shared memory (
> mostly with directives) were complaining
> about the new programmin
you can forget about getting much info other than marketing data.
the companies and orgainsations that already calculate for years at
gpu's
they are really good in keeping their mouth shut.
But if you realize that even with 16 fast AMD cores (which for this
specific
prime number code are a LO
On Mar 11, 2011, at 7:20 AM, Mark Hahn wrote:
>> Interesting:
>> Chinese supercomputers to use ‘homemade’ chips
>> http://timesofindia.indiatimes.com/tech/personal-tech/computing/
>> Chinese-supercomputers-to-use-homemade-chips/articleshow/7655183.cms
>
> it's important to remind ourselves that
hi,
sometimes i go through a lot of mails at the mailing list here and
had missed this one.
please keep me up to date and/or add me to mailing lists there.
latency is superior of quadrics compared to all the infini* stuff.
drivers that integrate into kernels - well some modifications
shouldn'
If you are old enough to remember the time when the first distribute
computers appeared on the scene,
this is a deja-vu. Developers used to program on shared memory (
mostly with directives) were complaining
about the new programming models ( PVM, MPL, MPI).
Even today, if you have a serial code th
You've described it pretty well..
Look how long it took for "standard libraries" to take advantage of things like
MPI to become "of course we use that"..
If the original code used standard library calls for things like matrix math,
and it's a "drop in" so you could do a "test case" in less than
Herbert Fruchtl wrote:
> They hear great success stories (which in reality are often prototype
> implementations that do one carefully chosen benchmark well), then look at
> the
> API, look at their existing code, and postpone the start of their project
> until
> they have six months spare tim
They hear great success stories (which in reality are often prototype
implementations that do one carefully chosen benchmark well), then look at the
API, look at their existing code, and postpone the start of their project until
they have six months spare time for it. And we know when that is.
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