OK, I followed these instructions:
http://x10-lang.org/documentation/practical-x10-programming/x10-on-gpus
…and got CUDATopology to work:
1004 x10c++ -O -NO_CHECKS -x10rt mpi CUDATopology.x10 -o CUDATopology
1005 X10RT_ACCELS=ALL mpiexec -pernode ./CUDATopology
dhudak@n0282 1012%> !1005
X10RT_ACCELS=ALL mpiexec -pernode ./CUDATopology
Dumping places at place: Place(0)
Place: Place(0)
Parent: Place(0)
NumChildren: 2
Is a Host place
Child 0: Place(2)
Parent: Place(0)
NumChildren: 0
Is a CUDA place
Child 1: Place(3)
Parent: Place(0)
NumChildren: 0
Is a CUDA place
Place: Place(1)
Parent: Place(1)
NumChildren: 2
Is a Host place
Child 0: Place(4)
Parent: Place(1)
NumChildren: 0
Is a CUDA place
Child 1: Place(5)
Parent: Place(1)
NumChildren: 0
Is a CUDA place
Dumping places at place: Place(1)
Place: Place(0)
Parent: Place(0)
NumChildren: 2
Is a Host place
Child 0: Place(2)
Parent: Place(0)
NumChildren: 0
Is a CUDA place
Child 1: Place(3)
Parent: Place(0)
NumChildren: 0
Is a CUDA place
Place: Place(1)
Parent: Place(1)
NumChildren: 2
Is a Host place
Child 0: Place(4)
Parent: Place(1)
NumChildren: 0
Is a CUDA place
Child 1: Place(5)
Parent: Place(1)
NumChildren: 0
Is a CUDA place
…but, other examples are not building. I am assuming its the new version of
X10 along with the new version of CUDA, but I figured I would pass it along to
the mailing list.
dhudak@oak-rw 999%> module list
Currently Loaded Modules:
1) torque/2.5.10 2) moab/6.1.4 3) modules/1.0 4) gnu/4.4.5 5)
mvapich2/1.7 6) mkl/10.3.0 7) cuda/4.1.28 8) java/1.7.0_02 9) x10/2.2.2-cuda
dhudak@oak-rw 1000%> which nvcc
/usr/local/cuda/4.1.28/bin/nvcc
dhudak@oak-rw 1001%> x10c++ -O -NO_CHECKS -x10rt mpi CUDA3DFD.x10 -o CUDA3DFD
x10c++: nvcc fatal : Value 'sm_30' is not defined for option 'gpu-architecture'
x10c++: Non-zero return code: 255
x10c++: Found @CUDA annotation, but not compiling for GPU because nvcc could
not be run (check your $PATH).
dhudak@oak-rw 1002%>
dhudak@oak-rw 1002%> x10c++ -O -NO_CHECKS -x10rt mpi CUDAKernelTest.x10 -o
CUDAKernelTest
x10c++: ./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: ./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: ./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: ./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
./CUDAKernelTest.cu(56): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: nvcc fatal : Value 'sm_30' is not defined for option 'gpu-architecture'
x10c++: Non-zero return code: 255
x10c++: Found @CUDA annotation, but not compiling for GPU because nvcc could
not be run (check your $PATH).
dhudak@oak-rw 1003%> which nvcc
/usr/local/cuda/4.1.28/bin/nvcc
Regards,
Dave
On Feb 11, 2012, at 5:09 PM, David E Hudak wrote:
> Hi All,
>
> I have a code sample that I want to try on our new cluster. These are
> dual-socket nodes with dual-M2070 cards connected by QDR IB.
>
> I configured my local environment and built the code as follows:
> svn co https://x10.svn.sourceforge.net/svnroot/x10/tags/SF_RELEASE_2_2_2
> x10-2.2.2
> cd x10-2.2.2/x10.dist
> ant -DNO_CHECKS=true -Doptimize=true -DX10RT_MPI=true -DX10RT_CUDA=true diet
>
> Things build.
>
> And, then I get an interactive PBS job on 2 nodes. I would like the launch
> the program with 2 X10 places per node, with each X10 place having one child
> place for a GPU. Does anyone have the incantation that would launch this
> configuration?
>
> By the way, is there a hostname function in X10 I can call to verify which
> node I am running on?
>
> So, first I tried...
>
> dhudak@n0282 1021%> mpiexec -pernode ./CUDATopology
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 0
> Is a Host place
>
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 0
> Is a Host place
>
> …and it ran two copies of the program, each on the two nodes. (I verified by
> running top on the other node, and seeing a CUDATopology process running.)
>
> If I add the X10RT_ACCELS variable, each copy finds the two cards:
>
> dhudak@n0282 1012%> X10RT_ACCELS=ALL mpiexec -pernode ./CUDATopology
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(1)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
>
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(1)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
>
> OK, so I wanted place 1 on one node and place 2 on another node:
>
> dhudak@n0282 1029%> X10RT_ACCELS=ALL X10_NPLACES=2 mpiexec -pernode
> ./CUDATopology
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(3)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Place: Place(1)
> Parent: Place(1)
> NumChildren: 2
> Is a Host place
> Child 0: Place(4)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(5)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
>
> Dumping places at place: Place(1)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(3)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Place: Place(1)
> Parent: Place(1)
> NumChildren: 2
> Is a Host place
> Child 0: Place(4)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(5)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
>
> Dumping places at place: Place(0)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(3)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Place: Place(1)
> Parent: Place(1)
> NumChildren: 2
> Is a Host place
> Child 0: Place(4)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(5)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
>
> Dumping places at place: Place(1)
> Place: Place(0)
> Parent: Place(0)
> NumChildren: 2
> Is a Host place
> Child 0: Place(2)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(3)
> Parent: Place(0)
> NumChildren: 0
> Is a CUDA place
> Place: Place(1)
> Parent: Place(1)
> NumChildren: 2
> Is a Host place
> Child 0: Place(4)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
> Child 1: Place(5)
> Parent: Place(1)
> NumChildren: 0
> Is a CUDA place
>
> Does anyone have any advice?
>
> Thanks,
> Dave
> ---
> David E. Hudak, Ph.D. [email protected]
> Program Director, HPC Engineering
> Ohio Supercomputer Center
> http://www.osc.edu
>
>
>
>
>
>
>
>
>
>
> ------------------------------------------------------------------------------
> Virtualization & Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
> _______________________________________________
> X10-users mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/x10-users
---
David E. Hudak, Ph.D. [email protected]
Program Director, HPC Engineering
Ohio Supercomputer Center
http://www.osc.edu
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