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Tests fail on GeForce GTX 680 with CUDA_ERROR_NO_BINARY_FOR_GPU

See original GitHub issue

The environment is Ubuntu 16.04 with Cuda/7.5 and one GeForce GTX 680.

$ mvn test
[INFO] Scanning for projects...
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Build Order:
[INFO] 
[INFO] gpu-enabler-parent
[INFO] mavenized-jcuda
[INFO] gpu-enabler_2.10
[INFO] GPU Enabler Examples
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building gpu-enabler-parent 1.0.0
[INFO] ------------------------------------------------------------------------
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building mavenized-jcuda 0.1.2
[INFO] ------------------------------------------------------------------------
[INFO] 
[INFO] --- maven-resources-plugin:2.6:resources (default-resources) @ mavenized-jcuda ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory /home.stand/inf2/****/GPUEnabler/mavenized-jcuda/src/main/resources
[INFO] 
[INFO] --- maven-compiler-plugin:3.2:compile (default-compile) @ mavenized-jcuda ---
[INFO] Nothing to compile - all classes are up to date
[INFO] 
[INFO] --- maven-resources-plugin:2.6:testResources (default-testResources) @ mavenized-jcuda ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory /home.stand/inf2/****/GPUEnabler/mavenized-jcuda/src/test/resources
[INFO] 
[INFO] --- maven-compiler-plugin:3.2:testCompile (default-testCompile) @ mavenized-jcuda ---
[INFO] No sources to compile
[INFO] 
[INFO] --- maven-surefire-plugin:2.12.4:test (default-test) @ mavenized-jcuda ---
[INFO] No tests to run.
[INFO]                                                                         
[INFO] ------------------------------------------------------------------------
[INFO] Building gpu-enabler_2.10 1.0.0
[INFO] ------------------------------------------------------------------------
[INFO] 
[INFO] --- scala-maven-plugin:3.2.2:add-source (eclipse-add-source) @ gpu-enabler_2.10 ---
[INFO] Add Test Source directory: /home.stand/inf2/****/GPUEnabler/gpu-enabler/src/scala
[INFO] 
[INFO] --- maven-resources-plugin:2.6:resources (default-resources) @ gpu-enabler_2.10 ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory /home.stand/inf2/****/GPUEnabler/gpu-enabler/src/main/resources
[INFO] 
[INFO] --- scala-maven-plugin:3.2.2:compile (scala-compile-first) @ gpu-enabler_2.10 ---
[WARNING] Zinc server is not available at port 3030 - reverting to normal incremental compile
[INFO] Using incremental compilation
[INFO] 
[INFO] --- maven-compiler-plugin:2.5.1:compile (default-compile) @ gpu-enabler_2.10 ---
[INFO] Nothing to compile - all classes are up to date
[INFO] 
[INFO] >>> scala-maven-plugin:3.2.2:doc-jar (attach-scaladocs) > generate-sources @ gpu-enabler_2.10 >>>
[INFO] 
[INFO] --- scala-maven-plugin:3.2.2:add-source (eclipse-add-source) @ gpu-enabler_2.10 ---
[INFO] 
[INFO] <<< scala-maven-plugin:3.2.2:doc-jar (attach-scaladocs) < generate-sources @ gpu-enabler_2.10 <<<
[INFO] 
[INFO] --- scala-maven-plugin:3.2.2:doc-jar (attach-scaladocs) @ gpu-enabler_2.10 ---
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=64m; support was removed in 8.0
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=1024m; support was removed in 8.0
model contains 17 documentable templates
[INFO] Building jar: /home.stand/inf2/****/GPUEnabler/gpu-enabler/target/gpu-enabler_2.10-1.0.0-javadoc.jar
[INFO] 
[INFO] --- maven-scala-plugin:2.15.2:compile (default) @ gpu-enabler_2.10 ---
[INFO] Checking for multiple versions of scala
[INFO] includes = [**/*.java,**/*.scala,]
[INFO] excludes = []
[INFO] Nothing to compile - all classes are up to date
[INFO] 
[INFO] --- maven-resources-plugin:2.6:testResources (default-testResources) @ gpu-enabler_2.10 ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 3 resources
[INFO] 
[INFO] --- scala-maven-plugin:3.2.2:testCompile (scala-test-compile-first) @ gpu-enabler_2.10 ---
[WARNING] Zinc server is not available at port 3030 - reverting to normal incremental compile
[INFO] Using incremental compilation
[INFO] Compiling 1 Java source to /home.stand/inf2/****/GPUEnabler/gpu-enabler/target/scala-2.10/test-classes...
[WARNING] warning: [options] bootstrap class path not set in conjunction with -source 1.6
[WARNING] 1 warning
[INFO] 
[INFO] --- maven-compiler-plugin:2.5.1:testCompile (default-testCompile) @ gpu-enabler_2.10 ---
[INFO] Compiling 1 source file to /home.stand/inf2/****/GPUEnabler/gpu-enabler/target/scala-2.10/test-classes
[INFO] 
[INFO] --- maven-dependency-plugin:2.10:build-classpath (default) @ gpu-enabler_2.10 ---
[INFO] 
[INFO] --- maven-scala-plugin:2.15.2:testCompile (default) @ gpu-enabler_2.10 ---
[INFO] Checking for multiple versions of scala
[INFO] includes = [**/*.java,**/*.scala,]
[INFO] excludes = []
[INFO] Nothing to compile - all classes are up to date
[INFO] 
[INFO] --- maven-surefire-plugin:2.19.1:test (default-test) @ gpu-enabler_2.10 ---

-------------------------------------------------------
 T E S T S
-------------------------------------------------------
Running com.ibm.gpuenabler.TestJavaCUDASuite
16/08/30 08:41:58 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:92)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
16/08/30 08:41:58 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
16/08/30 08:41:59 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
16/08/30 08:41:59 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
16/08/30 08:41:59 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
16/08/30 08:41:59 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Tests run: 3, Failures: 0, Errors: 3, Skipped: 0, Time elapsed: 3.276 sec <<< FAILURE! - in com.ibm.gpuenabler.TestJavaCUDASuite
MultiMultiSum(com.ibm.gpuenabler.TestJavaCUDASuite)  Time elapsed: 2.746 sec  <<< ERROR!
org.apache.spark.SparkException: 
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:92)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
    at com.ibm.gpuenabler.TestJavaCUDASuite.MultiMultiSum(TestJavaCUDASuite.java:209)
Caused by: jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU

MultiSum(com.ibm.gpuenabler.TestJavaCUDASuite)  Time elapsed: 0.209 sec  <<< ERROR!
org.apache.spark.SparkException: 
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
    at com.ibm.gpuenabler.TestJavaCUDASuite.MultiSum(TestJavaCUDASuite.java:141)
Caused by: jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU

MultiPart(com.ibm.gpuenabler.TestJavaCUDASuite)  Time elapsed: 0.307 sec  <<< ERROR!
org.apache.spark.SparkException: 
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU
    at jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
    at jcuda.driver.JCudaDriver.cuModuleLoadData(JCudaDriver.java:2014)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:96)
    at com.ibm.gpuenabler.CUDAManager$$anonfun$cachedLoadModule$1.apply(CUDAManager.scala:80)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
    at com.ibm.gpuenabler.CUDAManager.cachedLoadModule(CUDAManager.scala:80)
    at com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:334)
    at com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
    at com.ibm.gpuenabler.TestJavaCUDASuite.MultiPart(TestJavaCUDASuite.java:82)
Caused by: jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU


Results :

Tests in error: 
  TestJavaCUDASuite.MultiMultiSum:209 » Spark Job aborted due to stage failure: ...
  TestJavaCUDASuite.MultiPart:82 » Spark Job aborted due to stage failure: Task ...
  TestJavaCUDASuite.MultiSum:141 » Spark Job aborted due to stage failure: Task ...

Tests run: 3, Failures: 0, Errors: 3, Skipped: 0

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO] 
[INFO] gpu-enabler-parent ................................. SUCCESS [  0.002 s]
[INFO] mavenized-jcuda .................................... SUCCESS [  0.979 s]
[INFO] gpu-enabler_2.10 ................................... FAILURE [ 15.109 s]
[INFO] GPU Enabler Examples ............................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 16.180 s
[INFO] Finished at: 2016-08-30T08:41:59+00:00
[INFO] Final Memory: 62M/1169M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-surefire-plugin:2.19.1:test (default-test) on project gpu-enabler_2.10: There are test failures.
[ERROR] 
[ERROR] Please refer to /home.stand/inf2/****/GPUEnabler/gpu-enabler/target/surefire-reports for the individual test results.
[ERROR] -> [Help 1]
[ERROR] 
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR] 
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
[ERROR] 
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR]   mvn <goals> -rf :gpu-enabler_2.10

Issue Analytics

  • State:open
  • Created 7 years ago
  • Comments:8 (2 by maintainers)

github_iconTop GitHub Comments

1reaction
dieselnexrcommented, Sep 26, 2016

hi @TPolzer i meet the problem same as you. below is my solution. follow this instructions.

  1. refer to this document and read 6.2.2.2 section, then you can execute deviceQuery command
  2. the command prints out ‘CUDA Capability Major/Minor version number’ value.
  3. mine was 2.1 and value in GPUEnabler\examples\src\main\resources\MakeFile is 3.5 by default. that value exists at line# 4 (COMPUTE_CAPABILITY ?= 35)
    • GTX 680 may be 30
  4. change that value as yours. i have changed this value to 21(but a value in .ptx is 20. not 21
  5. then make again(i met a error on make. so i made a work-around that I removed SparkExamples.cu to backup dir. function not found error had occured.)

I hope this can help you. 😃

compatibility information is at https://en.wikipedia.org/wiki/CUDA#GPUs_supported.

0reactions
YuxinxinChencommented, Feb 17, 2017

Did you solve the problem? I have the exactly same problem and still get stuck in this problem

Read more comments on GitHub >

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