Hi Luca - can you send me your code, or perhaps a condensed version which still shows this error, so that I can try to replicate this problem locally?
- Ben
From: Luca Salucci <lucasalu...@libero.it>
To: x10-users@lists.sourceforge.net,
Date: 02/10/2014 06:59 AM
Subject: [X10-users] X10RT: async XX is not a CUDA kernel.
I am trying to run a simple CUDA kernel on my CUDA device, but even if it
compiles I cannot manage to get it run. The compilation output is the
following:
~/x10-trunk_labsrv8/x10.dist/bin/x10c++ -O
-classpath /home/lsalucci/x10-trunk_labsrv8/x10.gml/lib/native_gml.jar
-x10lib /home/lsalucci/x10-trunk_labsrv8/x10.gml/native_gml.properties
-post '# # # -L /usr/lib/libblas -L /usr/lib/lapack -lblas -llapack'
cuVector.x10 cuVectorMult.x10 cuSparseCSC.x10 -o cuGMLlib
x10c++: cuGML/cuVector.cu(44): Warning: Cannot tell what pointer points to,
assuming global memory space
cuGML/cuVector.cu(50): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: cuGML/cuVector.cu(44): Warning: Cannot tell what pointer points to,
assuming global memory space
cuGML/cuVector.cu(50): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: cuGML/cuVector.cu(44): Warning: Cannot tell what pointer points to,
assuming global memory space
cuGML/cuVector.cu(50): Warning: Cannot tell what pointer points to,
assuming global memory space
x10c++: cuGML/cuVector.cu(44): Warning: Cannot tell what pointer points to,
assuming global memory space
cuGML/cuVector.cu(50): Warning: Cannot tell what pointer points to,
assuming global memory space
Even though when I run it I get the following runtime error:
X10RT: async 78 is not a CUDA kernel.
Aborted (core dumped)
Any suggestion? Is the problem caused by my code or by the runtime?
Thanks,
Luca Salucci
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