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https://issues.apache.org/jira/browse/LUCENE-7745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15953766#comment-15953766
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vikash edited comment on LUCENE-7745 at 4/3/17 4:44 PM:
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oops i could not do that, i submitted my proposal by the way and if you check 
it now the latest edited format is the submitted version and sadly i could not 
change the github link, it only points to my home directory in github,  but can 
I start working still and I shall give you the link that has my working and if 
it would be possible for you , you could show to the Apache Software Foundation 
my works, will that be ok? 
And since as I have said in my proposal that I will work from april itself so I 
will do some working and so will the repository I build for lucene and work I 
store there be checked by ASF can that help me increase my chances?
And by whom will my proposal be checked?


was (Author: qwerty123):
oops i could not do that, i submitted my proposal by the way and if you check 
it now the latest edited format is the submitted version and sadly i could not 
change the github link, it only points to my home directory in github,  but can 
I start working still and I shall give you the link that has my working and if 
it would be possible for you , you could show to the Apache Software Foundation 
my works, will that be ok? 
And since as I have said in my proposal that I will work from april itself so I 
will do some working and so will the repository I build for lucene and work I 
store there be checked by ASF?
And by whom will my proposal be checked?

> Explore GPU acceleration
> ------------------------
>
>                 Key: LUCENE-7745
>                 URL: https://issues.apache.org/jira/browse/LUCENE-7745
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Ishan Chattopadhyaya
>              Labels: gsoc2017, mentor
>
> There are parts of Lucene that can potentially be speeded up if computations 
> were to be offloaded from CPU to the GPU(s). With commodity GPUs having as 
> high as 12GB of high bandwidth RAM, we might be able to leverage GPUs to 
> speed parts of Lucene (indexing, search).
> First that comes to mind is spatial filtering, which is traditionally known 
> to be a good candidate for GPU based speedup (esp. when complex polygons are 
> involved). In the past, Mike McCandless has mentioned that "both initial 
> indexing and merging are CPU/IO intensive, but they are very amenable to 
> soaking up the hardware's concurrency."
> I'm opening this issue as an exploratory task, suitable for a GSoC project. I 
> volunteer to mentor any GSoC student willing to work on this this summer.



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