I didn't notice this was in the original thread. A factor of 1000x
improvement? REALLY? I have a hard time believing it.


On Thu, Oct 9, 2014 at 1:18 AM, Klaus <[email protected]> wrote:

> Your mileage may vary.
> For me, such a solution might mean a speedup of about 30 (given the number
> of graphics cores, the differences in performance, non-optimal
> parallelization, etc. - but it is a rather wild, but conservative guess).
> If you look at pricing on the cloud, using this might cost like 5-10 USD /
> hour (were also partial hours count).
> Given the number of runs one has to do to reach a reasonable result, this
> can easily go to dozens/hundreds of hours. This might be ok from your
> perspective, it seems like a bad deal from my point of view. (this is also
> why modern high-performance computers often take a GPU heavy approach)
> So, I think, going GPU first is probably a good idea, then one might want
> to cascade it later with a multicomputer approach (AWS offers specific GPU
> instances for the cloud).
>
> But all this is mute, the question is whether any one with the necessary
> expertise is pursuing this approach.
> Or perhaps someone has better data for estimating the kinds of results to
> be expected.
>
> Klaus
>
>
>
> Am Mittwoch, 8. Oktober 2014 22:14:44 UTC+2 schrieb Judson Wilson:
>>
>> I think it would be more worthwhile to do a cloud based multi-computer
>> approach.
>>
>> On Wed, Oct 8, 2014 at 3:55 AM, Klaus <[email protected]> wrote:
>>
>>> Hi,
>>>
>>> I was just wondering: was there any further efforts to do CUDA-based
>>> backtesting for JBT?
>>>
>>> Cheers
>>>  Klaus
>>>
>>>
>>> Am Donnerstag, 18. April 2013 03:44:58 UTC+2 schrieb Sheb Latsama:
>>>
>>>> I am looking into this, but it is still far from ready for prime time.
>>>> I have a good speedup, but for some reason the results are diverging from
>>>> the expected values in seemingly random ways.  I will update the group when
>>>> I have something ready to share... it is still 'pre-alpha' at this point.
>>>>
>>>> I asked Eugene to remove some info I shared with him on this topic as
>>>> it is premature at this point, and he was kind enough to do so.
>>>>
>>>> On Tuesday, April 16, 2013 6:56:40 AM UTC-7, Mick O'Donnell wrote:
>>>>>
>>>>> Hi all,
>>>>>
>>>>> Just wondering if anyone has looked at use parallel processing for
>>>>> optimizing strategies yet. I've been using the NVIDIA's CUDA library for
>>>>> other heavy lifting jobs with good results. There's a project called JCUDA
>>>>> which supplies a Runtime API with Java bindings for CUDA. If no one has
>>>>> written anything for this yet, I may take it on as a side project.
>>>>>
>>>>> http://www.jcuda.org/
>>>>>
>>>>> regards,
>>>>>
>>>>> Michael
>>>>>
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