[Eeglablist] Hardware recommendations

[Johanna Wagner]

Hi Malte,

you may also want to consider running computationally demanding tasks on
the Open EEGLAB Portal to High-Performance Computing.

For more information see here:
https://github.com/sccn/nsgportal/wiki

Johanna

Am Mi., 15. Jan. 2020 um 11:14 Uhr schrieb Makoto Miyakoshi <
mmiyakoshi at ucsd.edu>:

> Dear Malte,
>
> Let me summarize our communication outside the list for others.
>
> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
>
> > CPU utilization is ~40% during the process, RAM utilization is 100% (so
> 100% of the 32 Gb are used)
>
> I suggest you try the following solution.
>
>    - Use the following optional inputs: 'cycles', [3 10], 'freqs', [1 45],
>    'nfreqs', [50], 'timesout', 6849 This should set your sliding window
> size
>    to 3380 ms or something like that, which should produce 6849 time point
>    i.e., about 1 time point per second.
>
> The most alarming sign was 'Using 3 cycles at lowest freq to 25600 at
> highest' 25600 cycles sounds crazy. If you use the above parameters, it
> will be up to 10.
>
> Makoto
>
> On Mon, Jan 13, 2020 at 11:20 PM Malte Anders <malteanders at gmail.com>
> wrote:
>
> > Hi everybody,
> >
> > I have collected huge amounts of EEG data with 512 Hz sampling frequency
> > and 34 electrodes.
> >
> > For one subject (~2-3 hours of data), a simple Time/Frequency
> decomposition
> > between 1 and 40 Hz with standard settings calling the newtimef function
> > takes approx. 8 hours for 1 hour of recorded data on my Computer (4790k,
> 32
> > Gb of DDR3 Ram, Intel HD GPU), so 16-24 hours for one dataset in total.
> > This is simply too long as I am currently working alone on this. CPU
> > utilization is ~40% during the process, RAM utilization is 100% (so 100%
> of
> > the 32 Gb are used).
> >
> > I would like to invest in new hardware (I am also considering used
> > hardware) with a price point around 1500-3000€. Which would make more
> > sense:
> > -A new Ryzen 3950x, 16 cores with 128 Gb of DDR4 RAM (2666 Mhz) ~ 1500€
> > -A used workstation, e.g. with Dual CPU: 2 x 12 core Xeon E52670v3 and
> 256
> > Gb RAM ~ used approx. 2200€
> >
> > The Xeon has more cores, but way lower clock speed. It does have double
> the
> > amount of RAM though.
> >
> > Would you recommend a dedicated GPU (Nvidia?) for this?
> >
> > Any recommendations are greatly appreciated. Thanks!
> > Malte
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-- 

-- 
Johanna Wagner, PhD
Postdoctoral Researcher
Swartz Center for Computational Neuroscience
Institute for Neural Computation
University of California San Diego

https://sccn.ucsd.edu/people/#Postdoctoral-Fellows
http://scholar.google.at/citations?user=vSJYGtcAAAAJ&hl=en




<http://sccn.ucsd.edu/>