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Posted to issues@lucene.apache.org by "Varun Thacker (Jira)" <ji...@apache.org> on 2019/12/09 19:42:00 UTC
[jira] [Commented] (LUCENE-9086) Benchmark new Graviton2 ARM EC2
instances
[ https://issues.apache.org/jira/browse/LUCENE-9086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16991874#comment-16991874 ]
Varun Thacker commented on LUCENE-9086:
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When we tested C5.4xlarge vs C4.4xlarge the C5s were able to serve ~31% more requests per second. These numbers aren't from running lucene however the C5s might be faster than the C4s ?
> Benchmark new Graviton2 ARM EC2 instances
> -----------------------------------------
>
> Key: LUCENE-9086
> URL: https://issues.apache.org/jira/browse/LUCENE-9086
> Project: Lucene - Core
> Issue Type: Task
> Reporter: Michael McCandless
> Assignee: Michael McCandless
> Priority: Major
>
> At [AWS re:Invent 2019|https://reinvent.awsevents.com/] last week, AWS announced new [EC2 instances based on the Graviton2 ARM processor|https://aws.amazon.com/blogs/aws/coming-soon-graviton2-powered-general-purpose-compute-optimized-memory-optimized-ec2-instances] which apparently can be much faster than the original A1 instances, at least according to internal benchmarks.
> I've been running Lucene's benchmarks ({{wikimediumall}}, indexing 33.3 M docs and running a diverse and repeatable set of search tasks) on these instances, comparing a {{c4.8xlarge}} (x86-64) instance against the new {{m6g.8xlarge}} (ARM), and I'll summarize the results here.
> Net/net ARM seems to be faster at raw indexing than x86-64, even though {{m6g.8xlarge}} has only 32 cores versus 36 cores, but a bit slower at merging, while searching seems to be faster for some queries and slower for others. I'll try to get the full results posted soon.
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