[ntp:questions] Anyone ever consider running NTP in an nVidia GPU core?

David Mills mills at udel.edu
Wed Dec 2 02:25:46 UTC 2009


Todd,

Merrill Lynch manages my investment portfolio, IRAs and trusts. While 
Greg Johns is the headman, I don't think your paths will cross.

Dave

Todd Glassey wrote:

> David Mills wrote:
>
>> Todd,
>>
>> 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 
> model.
>
>
> Todd
>
>>
>> Dave
>>
>> 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.
>>>
>>> Todd
>>
>>
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>
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