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Re: [Condor-users] GPU and condor?

Hi there,
thanks for your idea, that's really what we'd like to setup - the schema you sent in first email is also in our minds.
However, I was just curious, if someone else started to do anything about that. Thung-Han, is there anything more "public visible" of your work for good reference, e.g. what hw do you use, how do you make data move, what is size of data you process on gpu(s)? 
Sounds interesting if you have in your condor pool more than 64 gpus...
I've designed simple topology what is our scope of interest. First, build standalone condor pool with just gpus and then based on classads force the pool have gpus and cpus as well for different types of jobs (cpu intensive or gpu intensive).
If there is anything you might offer in order to give us ideas how to proceed, that'll be great.
Our initial hw setup will look like as follows (this is about to be purchased in the following week): 
1) central head node (schedd, col/neg): any xeon machine
2) user interface for job submission: no need for too strong machine
3) 5x worker nodes: 2x Opteron Quad Core model, 2x nVIDIA GTX295, 32GB RAM, that there is 4GB per core 
   - we'd like to build such workers in 4U chasis
I've read several reviews, benchmarks, but still not sure what exact way to go with HW of worker nodes, this setup sounds to us most acceptable as cheap solutions and maintainable by our local hw experts... Also, there is lot of questions of power consumption, etc... but that's what we will measure just when the infrastructure is on the place, it's gonna be experiment we want develop by self-grown evolution from the user needs. For now, GTX295 sound sufficient enough, just the cluster environment is big need and still missing. Hope, that condor software might help to our people.
I appreciate any useful direction in advance if somebody can offer other advice. 

Thanks,
Marian

Tung-Han Hsieh wrote:

Hello Xiang Ni,
Actually we did not do anything to make condor aware of the existence of GPUs. 
What we have done is simple and somewhat stupid: That is, hard coded.
Let me post a condor setting in one of our computing node, so that you may be 
clear about our implimentation:

===================================================================
DAEMON_LIST = MASTER, STARTD
NETWORK_INTERFACE = 192.168.2.123
NODE_ID  = 122
NUM_CPUS = 2
MTYPE    = "GPU_2G"
NETTYPE  = "GB"
N_HWCPUS = 2
STARTD_ATTRS = "$(COLLECTOR_HOST)", NODE_ID, MTYPE, NETTYPE, N_HWCPUS
===================================================================
This is the local condor config. file of 192.168.2.123 node. In this node we installed 2 GPUs with model GTX-285, each has 2GB GPU memory. So we define a new attribute "MTYPE" which has the value "GPU_2G", and force condor to believe that this node has 2 GPUs 
(actually, condor thinks that it has 2 CPUs) by setting NUM_CPUS=2.
Therefore, if you want to mix machines, some has GPUs and some do not, then in our simple implimentation we will just set different values of MTYPE in each machines, and ask user to specify the "Requirement" in their condor command file, in order to submit 
their jobs to the correct group of nodes.
Using this way, probably any standard condor distribution can be used in a GPU cluster. 

Cheers,

T.H.Hsieh


2010/1/7 Xiang Ni <nixiang.nn@xxxxxxxxx <mailto:nixiang.nn@xxxxxxxxx>>

    Hi Tung-Han Hsieh,

    Thanks and you sharing is very helpful!

    I'm also interested in this topic and I have some confusions.

    How do you make condor aware of the existence of GPUs? By modifying
    the Hawkeye?

    Thanks!

    Regards,

    2010/1/7 Tung-Han Hsieh <tunghan.hsieh@xxxxxxxxx
    <mailto:tunghan.hsieh@xxxxxxxxx>>:
     > Hello,
     >
     > We have some experiences on building a GPU cluster using
     > condor.
     >
     > Currently we have two GPU clusters, used for different
     > research
     > groups. Each cluster is composed by the following
     > element:
     >
     > 1. Head node: Running condor server, for users login to
     > build
     >               their codes, submit jobs,
     > etc.
     >
     > 2. File servers: The Lustre Cluster filesystems are
     > deployeed.
     >
     > 3. Computing nodes: Each node has at least one, at most 4
     > GPUs.
     >                     Each cluster has more than 64 GPUs
     > installed.
     >
     > 4. Communication: one has infiniband network, and the other
     > use
     >                   Gigabit
     > network.
     >
     > The condor system can allocate multi-GPUs for users. In
     > our
     > implimentation the number of CPU cores in each computing
     > node
     > is not important. So in condor command file, users
     > specify
     > "machine_count" is actually specify the number of GPUs
     > required.
     > And the number of GPUs in each node is hard coded as
     > the
     > "NUM_CPUS" in the local condor config. file in each
     > node.
     >
     > Honestly, we are not the condor experts. Hence we also
     > developed
     > some codes to help condor to do more complicated tasks, such
     > as
     > user quota for number of GPUs, GPU assignment, dead job cleaning,
     > etc.
     > But I guess all of these could be done by condor itself. We
     > just
     > don't know how to do, so try the somewhat stupid way to write
     > codes
     > to do
     > those.
     >
     > Probably we can communicate the experience about this subject
     > :)
     >
     >
     > Cheers,
     >
     > T.H.Hsieh
     >
     >
     > 2010/1/7 Marian Zvada <zvada@xxxxxxxx <mailto:zvada@xxxxxxxx>>
     >>
     >> Dear Condor Folks,
     >>
     >> is there someone in Condor user's community who has build GPU
    cluster
     >> based on condor?
     >> I mean someone, who has worker nodes hw with GPU graphical cards
    and job
     >> management is done by condor on the top.
     >>
     >> We are very interested in this topic and would like to build such a
     >> infrastructure (condor + gpu worker nodes) for research people
    in our
     >> organization.
     >> In first epoch of this project we'd like to develop standalone
    cluster:
     >>
     >> - master condor head node
     >> - 5 gpu worker nodes (each worker node 2x nVIDIA GTX295)
     >> - storage element for data
     >>
     >> I know, there is a lot to see on google about such a
    experiments, but I
     >> wanted to ask directly from condor users about their
     >> opinions/suggestions/recommendations since we are serious about
    to build
     >> condor gpu cluster and use it in production for our research
    activities.
     >>
     >> If there is someone who has done similar setup and is willing
    share the
     >> knowledge, I appreciate talk about it! Any url hints are welcome
    too...
     >>
     >> Thanks and regards,
     >> Marian
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    --
    Xiang Ni
    Sino-German Joint Software Institute
    Computer Science&Engineer Deparment of Beihang University
    100191
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