Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id DF388200C27 for ; Sun, 26 Feb 2017 14:23:50 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id DDCAC160B6E; Sun, 26 Feb 2017 13:23:50 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 319A6160B59 for ; Sun, 26 Feb 2017 14:23:50 +0100 (CET) Received: (qmail 31317 invoked by uid 500); 26 Feb 2017 13:23:49 -0000 Mailing-List: contact yarn-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list yarn-issues@hadoop.apache.org Received: (qmail 31306 invoked by uid 99); 26 Feb 2017 13:23:49 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Sun, 26 Feb 2017 13:23:49 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id E860A183A61 for ; Sun, 26 Feb 2017 13:23:48 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -2.347 X-Spam-Level: X-Spam-Status: No, score=-2.347 tagged_above=-999 required=6.31 tests=[RP_MATCHES_RCVD=-2.999, SPF_NEUTRAL=0.652] autolearn=disabled Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id pfbsaCIp-Q3X for ; Sun, 26 Feb 2017 13:23:47 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTP id 08819618AC for ; Sun, 26 Feb 2017 13:23:47 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 55F85E073C for ; Sun, 26 Feb 2017 13:23:46 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 69B032413A for ; Sun, 26 Feb 2017 13:23:45 +0000 (UTC) Date: Sun, 26 Feb 2017 13:23:45 +0000 (UTC) From: "Jaeboo Jeong (JIRA)" To: yarn-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (YARN-5517) Add GPU as a resource type for scheduling MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Sun, 26 Feb 2017 13:23:51 -0000 [ https://issues.apache.org/jira/browse/YARN-5517?page=3Dcom.atlassian.= jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D15884= 747#comment-15884747 ]=20 Jaeboo Jeong commented on YARN-5517: ------------------------------------ This patch just is intended for use with hadoop 2.7. I agree with Vinod's comment. > Add GPU as a resource type for scheduling > ----------------------------------------- > > Key: YARN-5517 > URL: https://issues.apache.org/jira/browse/YARN-5517 > Project: Hadoop YARN > Issue Type: Improvement > Components: scheduler > Reporter: Jaeboo Jeong > Attachments: aggregate_resource_allocation.jpg, container_example= .jpg, RM-scheduler_metrics.jpg, YARN-5517-branch-2.7.1.patch > > > Currently YARN only support scheduling based on memory and cpu. > There is the issue(YARN-3926) which proposed to extend the YARN resource = model. > And there is the issue(YARN-4122) to add support for GPU as a resource u= sing docker. > But these issues didn=E2=80=99t release yet so I just added GPU resource = type like memory and cpu. > I don=E2=80=99t consider GPU isolation like YARN-4122. > The properties for GPU resource type is similar to cpu core. > mapred-default.xml > mapreduce.map.gpu.cores (default 0) > mapreduce.reduce.gpu.cores=09(default 0) > yarn.app.mapreduce.am.resource.gpu-cores (default 0) > yarn-default.xml > yarn.scheduler.minimum-allocation-gcores (default 0)=09 > yarn.scheduler.maximum-allocation-gcores (default 8) > yarn.nodemanager.resource.gcores (default 0) > I attached the patch for branch-2.7.1 -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org For additional commands, e-mail: yarn-issues-help@hadoop.apache.org