[Eeglablist] I7 vs i9

[Makoto Miyakoshi]

Dear Stefano,

> An ICA decomposition on 128 channels sampled at 2048 Hz takes 8minutes
for 30' EEG. Not bad.

You mean, ICA decomposition of 128-ch data sampled at 2048 Hz for 30-min
long took only 8 min?
That is impressive.

Processing speed of infomax algorithm implemented in EEGLAB is also
affected by how clean the data is. With clean data, the iterative steps go
faster.

I remember last time when I used CUDAICA, the update was so fast that my
remotely-connected desk top could no longer update the command line log.

Makoto



On Thu, Jul 23, 2020 at 8:14 AM Seri, Stefano <s.seri at aston.ac.uk> wrote:

> hadar.levi at mail.huji.ac.il
>
> Dear Hadar,
> If ICA is your main computational load, i can add to the advice from Arno
> to consider CUDAICA using a NVIDIA card with as many CUDA cores you can
> afford, that of sourcing an HP Z-series workstation on ebay. There are
> quite a few around the world being decommissioned from corporation or
> medium size academic labs.
> We have acquired a Z-620 with dual xeon v2 (total 16 cores) and a NVIDIA
> K6000 + 64 GB RAM for around USD 800.00. An ICA decomposition on 128
> channels sampled at 2048 Hz takes 8minutes for 30' EEG. Not bad.
> If you want a More versatile computer but still have ICa as your main
> load, i would Save on the processor (i7 ) and spend a bit more on a card
> with at least 2000 CUDa cores. A GTX 1080 ti could be a good choice in
> terms of value for money
>
> Bw
>
> Sent from my iPad
>
>
>
>
> Prof. Stefano Seri MD, FRCP
> Professor of Clinical Neurophysiology and
> Clinical Director Aston Brain Centre
> Aston University, Birmingham UK
>
> Consultant Clinical Neurophysiologist
> Birmingham Women’s and Children’s Hospital NHS Foundation Trust
>
>
>
>
> Contact details:
> Hospital: +44(0)121-3339260<tel:+44121-3339260>
> NHS Email:  s.seri at nhs.net<mailto:s.seri at nhs.net>
>
>
> University: +44(0)121-2044103<tel:+44121-2044103>
> Email: s.seri at aston.ac.uk<mailto:s.seri at aston.ac.uk>
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