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Re: Solid State Disk to boost Mathematica performance

  • To: mathgroup at smc.vnet.net
  • Subject: [mg129545] Re: Solid State Disk to boost Mathematica performance
  • From: E. Martín-Serrano <eMartinSerrano at telefonica.net>
  • Date: Mon, 21 Jan 2013 00:12:03 -0500 (EST)
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Sorry, of course the last paragraph should read:

"In summary, my question is whether the SSD holding windows and Mathematica
would boost in any form Mathematica's performance."

-----Mensaje original-----
De: E. Mart=EDn-Serrano [mailto:eMartinSerrano at telefonica.net]
Enviado el: domingo, 20 de enero de 2013 7:21
Para: mathgroup at smc.vnet.net
Asunto: Solid State Disk to boost Mathematica performance

Hi all,

I am thinking of installing a 256 GB Solid State Disk (SSD) on my machine to
increase its performance.

The current configuration of my machine is:  4 cores (8 threads),  3,4 GHz;
with 12 GB DD3-RAM, NVIDIA GeForce GT 400 (3 GB  integrated RAM)  and 4 TB
Internal HD. It is not a small machine, I think.

The Solid State Disk (SSD) would hold the operating system (Windows 8) and
Mathematica (currently v8); plus some half a dozen of other "mission
critical" programs.

Anyway, the true actual candidates to reside in the SSD are Windows 8 and
Mathematica, but I wonder whether it is going to really boost the
performance of Mathematica considering that the machine already has 12 GB of
RAM.

But I do not know how Mathematica deals with the kernel and the fronted
(their interaction), in other words, whether the kernel uses de internal HD
to interact with the kernel and vice versa.

I use intensively and extensively dynamics constructs, and in many occasions
the dynamic refreshing uses Solve, NSolve and, in occasions NDSolve and
DSolve, within the second parameter to Dynamic. In any case, with or without
solving (always small) systems of equations, moving graphical objects tied
to dynamic locators remains an unsolvable issue to me.

In summary, my question is whether the SSD holding windows and Mathematica
would bust in any form Mathematica's performance.

Kind regards

E. Martin-Serrano


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