I see. I will conduct my own experiments with more recent GPU libraries.
Thanks for everyone's input.
On Mar 14, 2011 2:30 AM, "Lance Norskog" wrote:
> "There were experiments with moving both pieces of code to the GPU, and
> GPU did well in terms of speed, but they say getting data in and out
> of GPU made the approach unfeasible."
>
> That would be the problem with GPUs :) Co-processors always have this
> problem. GPUs were designed for 3d video games- the data flow into the
> GPU is low-volume (textures & triangles) and the data flow out is (I
> assume) pretty minimal.
>
> 2011/3/13 k...@kenobrien.org :
>> Vectorizable code would be the major target, yes.
>>
>> Do you know if the guys from Yandex were using CUDA or OpenCL approaches?
or
>> the old kind of opengl hacks.
>>
>>
>> On Sun, Mar 13, 2011 at 8:31 AM, Earwin Burrfoot
wrote:
>>>
>>> On Sun, Mar 13, 2011 at 00:15, Ken O'Brien wrote:
>>> > To clarify, I've not yet written any code. I aim to bring a large
>>> > speedup to
>>> > any functionality that is computationally expensive. I'm wondering
which
>>> > components are candidates for this.
>>> >
>>> > I'll be looking through the code but if anyone is aware of
>>> > parallelizable
>>> > code, I'll start with that.
>>> More like 'vectorizable' code, huh?
>>>
>>> Guys from Yandex use modified group varint encoding plus handcrafted
>>> SSE magic to decode/intersect posting lists and claim tremendous
>>> speedups over original group varint.
>>> They also use SSE to run the decision trees used in ranking.
>>>
>>> There were experiments with moving both pieces of code to the GPU, and
>>> GPU did well in terms of speed, but they say getting data in and out
>>> of GPU made the approach unfeasible.
>>>
>>> > I'll basically replicate existing functionality to run on the gpu.
>>> >
>>> > On 12/03/11 21:08, Simon Willnauer wrote:
>>> >>
>>> >> On Sat, Mar 12, 2011 at 9:21 PM, Ken O'Brien
wrote:
>>> >>>
>>> >>> Hi,
>>> >>>
>>> >>> Is anyone looking at GPU acceleration for Solr? If not, I'd like to
>>> >>> contribute code which adds this functionality.
>>> >>>
>>> >>> As I'm not familiar with the codebase, does anyone know which areas
of
>>> >>> functionality could benefit from high degrees of parallelism.
>>> >>
>>> >> Very interesting can you elaborate a little more what kind of
>>> >> functionality you exposed / try to expose to the GPU?
>>> >>
>>> >> simon
>>> >>>
>>> >>> Regards,
>>> >>>
>>> >>> Ken
>>> >>>
>>> >>>
>>> >>>
>>> >>>
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>>>
>>>
>>> --
>>> Kirill Zakharenko/Кирилл Захаренко
>>> E-Mail/Jabber: ear...@gmail.com
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>>
>>
>
>
>
> --
> Lance Norskog
> goks...@gmail.com
>
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