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https://issues.apache.org/jira/browse/YARN-8821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16771241#comment-16771241
]
Hadoop QA commented on YARN-8821:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
19s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 5 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 16m
40s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
2s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
27s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 0m
41s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
11m 15s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m
52s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
27s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 0m
35s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m
57s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} javac {color} | {color:red} 0m 57s{color}
| {color:red}
hadoop-yarn-project_hadoop-yarn_hadoop-yarn-server_hadoop-yarn-server-nodemanager
generated 3 new + 26 unchanged - 0 fixed = 29 total (was 26) {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 23s{color} | {color:orange}
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager:
The patch generated 17 new + 0 unchanged - 0 fixed = 17 total (was 0) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 0m
33s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} whitespace {color} | {color:red} 0m
0s{color} | {color:red} The patch 5 line(s) with tabs. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
11m 19s{color} | {color:green} patch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m
59s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
22s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 21m
5s{color} | {color:green} hadoop-yarn-server-nodemanager in the patch passed.
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| {color:red}-1{color} | {color:red} asflicense {color} | {color:red} 0m
30s{color} | {color:red} The patch generated 1 ASF License warnings. {color} |
| {color:black}{color} | {color:black} {color} | {color:black} 68m 30s{color} |
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|| Subsystem || Report/Notes ||
| Docker | Client=17.05.0-ce Server=17.05.0-ce Image:yetus/hadoop:8f97d6f |
| JIRA Issue | YARN-8821 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12959138/YARN-8821-trunk.006.patch
|
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient findbugs checkstyle |
| uname | Linux 805cf9fa2ee6 4.4.0-139-generic #165-Ubuntu SMP Wed Oct 24
10:58:50 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/patchprocess/precommit/personality/provided.sh |
| git revision | trunk / f2fb653 |
| maven | version: Apache Maven 3.3.9 |
| Default Java | 1.8.0_191 |
| findbugs | v3.1.0-RC1 |
| javac |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/artifact/out/diff-compile-javac-hadoop-yarn-project_hadoop-yarn_hadoop-yarn-server_hadoop-yarn-server-nodemanager.txt
|
| checkstyle |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/artifact/out/diff-checkstyle-hadoop-yarn-project_hadoop-yarn_hadoop-yarn-server_hadoop-yarn-server-nodemanager.txt
|
| whitespace |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/artifact/out/whitespace-tabs.txt
|
| Test Results |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/testReport/ |
| asflicense |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/artifact/out/patch-asflicense-problems.txt
|
| Max. process+thread count | 412 (vs. ulimit of 10000) |
| modules | C:
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager
U:
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager
|
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/23437/console |
| Powered by | Apache Yetus 0.8.0 http://yetus.apache.org |
This message was automatically generated.
> GPU hierarchy/topology scheduling support
> -----------------------------------------
>
> Key: YARN-8821
> URL: https://issues.apache.org/jira/browse/YARN-8821
> Project: Hadoop YARN
> Issue Type: Sub-task
> Reporter: Zhankun Tang
> Assignee: Zhankun Tang
> Priority: Major
> Attachments: YARN-8821-trunk.001.patch, YARN-8821-trunk.002.patch,
> YARN-8821-trunk.003.patch, YARN-8821-trunk.004.patch,
> YARN-8821-trunk.005.patch, YARN-8821-trunk.006.patch
>
>
> h2. Background
> GPU topology affects performance. There's been a discussion in YARN-7481. But
> we'd like to move related discussions here.
> And please note that YARN-8851 will provide a pluggable device framework
> which can support plugin custom scheduler. Based on the framework, GPU plugin
> could have own topology scheduler.
> h2. Details of the proposed scheduling algorithm
> The proposed patch has a topology algorithm implemented as below:
> *Step 1*. When allocating devices, parse the output of "nvidia-smi topo -m"
> to build a hash map whose key is all pairs of GPUs and the value is the
> communication cost between the two. The map is like \{"0 - 1"=> 2, "0 -
> 2"=>4, ...} which means the minimum cost of GPU 0 to 1 is 2. The cost is set
> based on the connection type.
> *Step 2*. And then it constructs a _+cost table+_ which caches all
> combinations of GPUs and corresponding cost between them and cache it. The
> cost table is a map whose structure is like
> {code:java}
> { 2=>{[0,1]=>2,..},
> 3=>{[0,1,2]=>10,..},
> 4=>{[0,1,2,3]=>18}}.
> {code}
> The key of the map is the count of GPUs, the value of it is a map whose key
> is the combination of GPUs and the value is the calculated communication cost
> of the numbers of GPUs. The cost calculation algorithm is to sum all
> non-duplicate pairs of GPU's cost. For instance, the total cost of [0,1,2]
> GPUs are the sum of cost "0 - 1", "0 - 2" and "1 - 2". And each cost can get
> from the map built in step 1.
> *Step 3*. After the cost table is built, when allocating GPUs based on
> topology, we provide two policy which container can set through an
> environment variable "NVIDIA_TOPO_POLICY". The value can be either "PACK" or
> "SPREAD". The "PACK" means it prefers faster GPU-GPU communication. The
> "SPREAD" means it prefers faster CPU-GPU communication( since GPUs are not
> using the same bus to CPU). And the key difference of the two policy is the
> sort order of the inner map in the cost table. For instance, let's assume 2
> GPUs is wanted. The costTable.get(2) would return a map containing all
> combinations of two GPUs and their cost. If the policy is "PACK", we'll sort
> the map by cost in ascending order. The first entry will be the GPUs has
> minimum GPU-GPU cost. If the policy is "SPREAD", we sort it in descending
> order and get the first one which is the highest GPU-GPU cost which means
> lowest CPU-GPU costs.
> h2. Estimation of the algorithm
> Initial analysis of the topology scheduling algorithm(Using PACK policy)
> based on the performance tests in an AWS EC2 with 8 GPU cards (P3) is done.
> Some of the conclusions are:
> 1. The topology between GPUs impacts the performance dramatically. The best
> combination GPUs can get *5% to 185%* *performance gain* among the test cases
> with various factors including CNN model, batch size, GPU subset, etc.
> 2. The "inception3" and "resnet50" networks seem not topology sensitive. The
> topology scheduling can only potentially get *about 10%* speedup.
> 3. Our current version of topology scheduling algorithm can achieve *3% to
> 140%* *performance gain. And the algorithm's allocations match the fastest
> GPUs needed by "vgg16"*.
> For "alexnet", although the fastest GPUs is not the algorithm's
> allocation, the GPU subset ranks in the first 5 of the algorithm's candidates
> and has the same cost with the one picked by the algorithm. We may improve
> this by selecting a random combination in the first 5 candidates since they
> have the same cost.
>
> In summary, the GPU topology scheduling algorithm is effective and can
> potentially get 5% to 185% performance gain after more optimization.
> *It means about maximum 3X comparing to a random GPU scheduling algorithm in
> a specific scenario*.
>
> The spreadsheets are here for your reference.
>
> [https://docs.google.com/spreadsheets/d/1t1QgiSuyMY2u-9TtsTVpVhG3WYc46hoaqy3BuADPS14/edit?usp=sharing]
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