spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Yuval Degani (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-22229) SPIP: RDMA Accelerated Shuffle Engine
Date Mon, 09 Oct 2017 19:36:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22229?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yuval Degani updated SPARK-22229:
---------------------------------
    Attachment: SPARK-22229_SPIP_RDMA_Accelerated_Shuffle_Engine_Rev_1.0.pdf

> SPIP: RDMA Accelerated Shuffle Engine
> -------------------------------------
>
>                 Key: SPARK-22229
>                 URL: https://issues.apache.org/jira/browse/SPARK-22229
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Yuval Degani
>         Attachments: SPARK-22229_SPIP_RDMA_Accelerated_Shuffle_Engine_Rev_1.0.pdf
>
>
> An RDMA-accelerated shuffle engine can provide enormous performance benefits to shuffle-intensive
Spark jobs, as demonstrated in the “SparkRDMA” plugin open-source project ([https://github.com/Mellanox/SparkRDMA]).
> Using RDMA for shuffle improves CPU utilization significantly and reduces I/O processing
overhead by bypassing the kernel and networking stack as well as avoiding memory copies entirely.
Those valuable CPU cycles are then consumed directly by the actual Spark workloads, and help
reducing the job runtime significantly. 
> This performance gain is demonstrated with both industry standard HiBench TeraSort (shows
1.5x speedup in sorting) as well as shuffle intensive customer applications. 
> SparkRDMA will be presented at Spark Summit 2017 in Dublin ([https://spark-summit.org/eu-2017/events/accelerating-shuffle-a-tailor-made-rdma-solution-for-apache-spark/]).
> Please see attached proposal document for more information.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message