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https://issues.apache.org/jira/browse/LUCENE-7745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15944884#comment-15944884
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vikash edited comment on LUCENE-7745 at 3/28/17 9:48 AM:
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Hi all, I have been reading about GPU acceleration and in particular to be
precise about GPU accelerated computing I find this project very interesting
and so can anyone give me further lead what is to be done now? I mean the ideas
that Ishaan suggested are pretty good but I am still not able to understand
that what Mr David means by (a) could whatever comes of this actually be
contributed to Lucene itself, whydo you think that you doubt that the outcome
of this project not be contributed to Lucene.
was (Author: qwerty123):
Hi all, I have been reading about GPU acceleration and in particular to be
precise about GPU accelerated computing I find this project very interesting
and so can anyone give me further lead what is to be done now? I mean the ideas
that Ishaan suggested are pretty good but I am still not able to understand
that what Mr David means by (a) could whatever comes of this actually be
contributed to Lucene itself, why can the outcome of this project not be
contributed to Lucene?
> 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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