f

#### Help on DSP boards.

Hi,

I am a CS student and an absolute newbie to the world of DSPs. I need
to evaluate DSP boards that I can use to do some computation intensive
operations in C programming. For example
Kloosterman's sum

K(a,b;p)=\sum e_p(ax+bx^*) ,

where

ep(t) = e2pit / p

and x* is the inverse of x modulo p and p is a prime number.

I was wondering which DSP board I can use. I would want something that:

1. Be connected through USB/JTAG.
2. Can be programmed in C and has a good cross compiler, debugger and
environment so that my environment is easy to use.
Ideally, I would be doing this on 2-3 boards and come up with a
performance analysis.

Any help is appreciated.

Thanks,
Krushna


 0
krushna (2)
10/1/2006 10:16:59 PM
comp.dsp 20333 articles. 1 followers. allnor (8509) is leader.

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I suggest you investigate using a PC with fast Pentium processor first
especially when used in conjunction with Intel's Performance Primative
library.

At work, we have ceased using dedicated DSP boards, and now build ou
systems based solely on Pentium CPUs. Our applications include HF Passiv
Sonar, which is very demanding of processing power to run in real-time
You can save megabucks taking this approach.

Jeff

 0
sparks2963 (10)
10/1/2006 11:27:49 PM
Hi Jeff,

This is more of an experiment than practical application. What we want
for our performance analysis are results of the computation on say a
fast Pentium processor and two-three  DSP boards so that we know how
useful it is to do such a thing.

Since we are going to buy just a single DSP toolkit or two, cost should
not be a consideration. The funding for that too is expected to come
from my school :-).

Thanks,
Krushna

Sparks wrote:
> I suggest you investigate using a PC with fast Pentium processor first,
> especially when used in conjunction with Intel's Performance Primatives
> library.
>
> At work, we have ceased using dedicated DSP boards, and now build our
> systems based solely on Pentium CPUs. Our applications include HF Passive
> Sonar, which is very demanding of processing power to run in real-time.
> You can save megabucks taking this approach.
>
> Jeff


 0
krushna (2)
10/2/2006 12:28:13 AM

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