XPost: sci.electronics.design
Am 14.07.20 um 20:54 schrieb Phil Hobbs:
On 2020-07-14 12:14, Gerhard Hoffmann wrote:
Am 14.07.20 um 17:50 schrieb bitrex:
I suggested to Mike E that LT Spice should use a graphic card for
computation, but I guess that's not going to happen now.
A modest Windows PC can spin Solidworks 3D images around just fine.
Is SPICE trivially parallelize-able in that way?
No. Inverting the conductivity matrix is hard because you
cannot do the pivoting in advance. The necessity shows
up during work.
For transient analysis, every time step builds on the previous one(s)
and you cannot parallelize a lot of them because you don't know
the starting condition of the future ones.
It has been tried often, a working solution would have been worth gold.
I remember the Weitek array coprocessor back in 80386 times and
a try with the NS16032. They never got a factor of more than 2 or 3.
Everything really interesting is np-complete. :-(
Cheers, Gerhard
It probably could be, if you changed the scheme so as to impose a speed-of-light propagation limit. That way you could divide the
schematic up into chunks, do time steps locally, and then propagate the changes to adjacent chunks.
This was my proposal at Z80 / AM9511/AM9512 times, just one node
per square mm of DUT chip. I also tried to port Spice 2G6
to Interactive Unix on my 80286/287 Bullet board. What a fiasco.
64K segments conspiring with f2c as a Fortran compiler. Never could
have worked.
But this computer had 2 MB and a 70 MB Fujitsu disk. That was pure
hubris in the hands of a EE & CS student. Our VAX11 at the semiconductor institute had 2 300 MB Fujitsu Eagles for all people together. :-)
And we made real chip designs on it.
Later I had a T800 transputer cluster, that would have mapped nicely
to this problem. But I never could find a customer for any T800
solution I proposed. All went X86.
The only exception was smuggling a Parsytec cluster to east Berlin.
But little Gerhard did not dare to. Few did I know. Some weeks
later, all the sudden, was the German re-unification and nobody would
have cared anymore about smuggling technology to an east-German
railway company that went belly-up anyway. Sigh.
That gets rid of every node having to know about every other node on
every time step, and makes FDTD codes such as my POEMS facility
parallelize well. (It works that way.)
Linear algebra also can be made to vectorize well on the right hardware.
Cheers
Gerhard
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