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From "vikash (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-7745) Explore GPU acceleration
Date Sun, 02 Apr 2017 19:54:41 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-7745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15952838#comment-15952838
] 

vikash commented on LUCENE-7745:
--------------------------------

Yeah I had already read the student manual and the deadline is 3rd April and its too close,
in the preparation I had almost missed the deadline for application. OK so for the proposal
my draft is here (you may comment on it and I will do the needful)

https://docs.google.com/document/d/1HGxU1ZudNdAboj0s9WKTWJk3anbZm86JY-abaflXoEI/edit?usp=sharing
.

> 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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