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Rinka Singh commented on LUCENE-7745: ------------------------------------- A very quick update on this. I have been progressing on the histogram and should take another month or so to put something out. Basically. # It is a sorted histogram of words. # Like I said before, I can scale to the size of the device memory (I think 1/6th the total free mem) for one card # Again, (:) hopefully) it should be straightforward to save the host memory location + the word to the stored data. Thanks, > Explore GPU acceleration > ------------------------ > > Key: LUCENE-7745 > URL: https://issues.apache.org/jira/browse/LUCENE-7745 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Ishan Chattopadhyaya > Assignee: Ishan Chattopadhyaya > Priority: Major > Labels: gsoc2017, mentor > Attachments: TermDisjunctionQuery.java, gpu-benchmarks.png > > > 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 (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org