[ntp:questions] Anyone ever consider running NTP in an nVidia GPU core?
mills at udel.edu
Wed Dec 2 02:25:46 UTC 2009
Merrill Lynch manages my investment portfolio, IRAs and trusts. While
Greg Johns is the headman, I don't think your paths will cross.
Todd Glassey wrote:
> David Mills wrote:
>> Yes, my friends have tripped over all kinds of general applications
>> hosted in a GPU. One of the obvious things is onboard space mission
>> navigation. But, the darn things run too hot.
> That's what water coolers are for. I have three very high end ones
> here running and they stay comfy... Still I understand totally about
> the temperature issues. But hey, if we come up with a model which
> would allow nVidia to ship an optional co-processor/NTP Service model
> they might adopt us (snicker) - they love this stuff and a real-time
> co-processor built specifically to sidestep the pain of the
> Southbridge's IO bottlenecks like the cores do, rocks.
> By the way - this NTPStamp thing is getting traction in one of the
> evidence groups - we have come up with a process through timestampting
> to allow company's to get rid of the excess baggage SOX compliance
> made them add in their roles and responsibilities models and that
> turns out to be totally cool...
> BTW we are working with one of the risk management groups at BofA and
> they are going through all the pain of absorbing Merrill which brings
> me to ask you who you worked with there. I was working with Jack
> Cavenaugh in compliance and the managing partner for silicon valley,
> pat williams in taking secured and audited time into their compliance
>> Todd Glassey wrote:
>>> David - I was just looking at a real-time control process a friend
>>> had implemented for a controller which is handling some very fast
>>> nuclear events and parts of the sensor code is actually running in
>>> an nVidia GPU core and it hit me, what a neat timing server it would
>>> make. I bring this up because of the other applications for the
>>> GPU's (cryptography) as well.
>>> The compilers are all there and it will keep time in the embedded
>>> GPU module with an external reference even better. Would be an
>>> interesting project.
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