[jira] [Commented] (LUCENE-7745) Explore GPU acceleration

Previous Topic Next Topic
 
classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

[jira] [Commented] (LUCENE-7745) Explore GPU acceleration

JIRA jira@apache.org

    [ https://issues.apache.org/jira/browse/LUCENE-7745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15932589#comment-15932589 ]

Michael McCandless commented on LUCENE-7745:
--------------------------------------------

Maybe even the basic hit scoring that e.g. BooleanScorer does with disjunction of high frequency terms, would be amenable to GPU acceleration?  Today BooleanScorer processes a whole window of hits at once, doing fairly simple math (the Similarity methods) on each.

> 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.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: [hidden email]
For additional commands, e-mail: [hidden email]

Loading...