Re: [myhdl-list] It's a beautiful day (somewhat long response)

[Christopher F. <chr...@gm...>]

<snip>
>
>
> Simulations
> ===========
> As discussed, the first couple simulations I tried failed because of the
> unsupported dependencies.  Which required some investigation on the
> failures and possible solutions.  At this time there is no solution for
> the numpy and company other than rewriting the simulations, not to use
> numpy.  The following is the list of my projects I attempted to run with
> pypy.  Most of these are described on the myhdl wiki.
>
>     1. Recursive FFT (failed, numpy)
>     2. GnuRadio Compatible USRP CIC Filter (failed, numpy)
>     3. Fixed-Point SOS (failed, numpy)
>     4. USBP (FX2 USB Interface) (failed in myhdl??)
>
> All in all, I could not get any of them to run with pypy?  Some were
> expected but some were not.
>
>

Ok, I *learnt* something since yesterday.  First, pypy will not work
on my PPC Mac.  I should have realized this right away, the JIT is
for x86 only (correct?).  But the surprising thing is that python
is crazy slow on my PPC-Mac (circa 2003).  I am running py27 with
the latest trunk myhdl.  py27 installed with macports (port install)
To get another system in the mix I stole my wifes laptop which can
run pypy (side note, how quickly things can be setup with MyHDL/Python).

Also, my non-numpy simulations, yesterday, were failing.
They failed, because I was using the traceSignals (?).  When I
removed the traceSignals function I was able to run two of the
simulations with pypy :)

Below is a table of execution times for the different simulations.

+---------+---------+----------+-----------+----------+----------+
|         | OSX-CPy | OSXi-CPy | OSXi-pypy | Ubu-CPy  | Ubu-pypy |
+---------+=========+==========+===========+==========+==========+
| rFFT    | 10m.52s | 4m.6s    | failed*   | 4m.36s   | failed*  |
+---------+---------+----------+-----------+----------+----------+
| CIC     | tbr     | tbr      | failed*   | tbr      | failed*  |
+---------+---------+----------+-----------+----------+----------+
| USBP    | tbr     | 4m.30s   | 2m.20s    | 4m.50s   | 2m.28s   |
+---------+---------+----------+-----------+----------+----------+
| LED     | 30m.4s  | 15m.15s  | 2m.10s    | 16m.13s  | 1m.59s   |
+---------+---------+----------+-----------+----------+----------+
* failed due to the numpy dependency

System configurations
OSX  - Dual 2GHz PPC G5, 4.5GiB RAM, OS X 10.5.8
OSXi - 2.26GHz Intel Core 2 Duo, 2GiB RAM, OS X 10.6.7
Ubu  - AMD Athlon LE1620 1.7GiB RAM, Ubuntu (natty)

The relevant information here is the ~2x increase and ~8x increase
with pypy.

Hope this is useful.

Chris Felton