Hello everyone, I 've got a problem when I write some Jcuda program based on
Hadoop MapReduce. I use the jcudaUtill. The KernelLauncherSample can be
successfully executed on my worker node. However, When I submit a program
containing jcuda to Hadoop MapReduce. I got following errors. Any reply will
be appreciated! 10/12/09 15:41:39 INFO mapred.JobClient: Running job:
job_201012091523_0002 10/12/09 15:41:40 INFO mapred.JobClient: map 0% reduce
0% 10/12/09 15:41:53 INFO mapred.JobClient: Task Id :
attempt_201012091523_0002_m_000000_0, Status : FAILED Error: Could not load
native library attempt_201012091523_0002_m_000000_0: [GC
7402K->1594K(12096K), 0.0045650 secs] attempt_201012091523_0002_m_000000_0:
[GC 108666K->104610K(116800K), 0.0106860 secs]
attempt_201012091523_0002_m_000000_0: [Full GC 104610K->104276K(129856K),
0.0482530 secs] attempt_201012091523_0002_m_000000_0: Error while loading
native library with base name "JCudaDriver"
attempt_201012091523_0002_m_000000_0: Operating system name: Linux
attempt_201012091523_0002_m_000000_0: Architecture : amd64
attempt_201012091523_0002_m_000000_0: Architecture bit size: 64 10/12/09
15:42:00 INFO mapred.JobClient: Task Id :
attempt_201012091523_0002_m_000000_1, Status : FAILED Error: Could not load
native library attempt_201012091523_0002_m_000000_1: [GC
7373K->1573K(18368K), 0.0045230 secs] attempt_201012091523_0002_m_000000_1:
Error while loading native library with base name "JCudaDriver"
attempt_201012091523_0002_m_000000_1: Operating system name: Linux
attempt_201012091523_0002_m_000000_1: Architecture : amd64
attempt_201012091523_0002_m_000000_1: Architecture bit size: 64 It looks
like The jcuda library file can not be sucessfully loaded. Actually, I tried
many combinations. 1) I include all the jcuda library files in my
TaskTracker's classpath, and also include jcuda library file into my
mapreduce program. 2) TaskTracker's classpath w/o jcuda library, but my
program contains them 3) TaskTracker's classpath w/ jcuda librara, but my
program w/o them All of them report the same error above.
