OpenMP jars aren't being picked up in distributed Spark

When executing the following:

```
import org.apache.mahout.math.decompositions._

drmX.checkpoint()
val (U, V, s) = dspca(drmX, k = 30, q = 1)
```

I see the following:
```
import org.apache.mahout.math.decompositions._
res1: org.apache.mahout.math.drm.CheckpointedDrm[Int] = org.apache.mahout.sparkbindings.drm.CheckpointedDrmSpark@2e8dd198
[INFO] Creating org.apache.mahout.viennacl.opencl.GPUMMul solver
[WARN] Unable to create class GPUMMul: attempting OpenMP version
[INFO] Creating org.apache.mahout.viennacl.openmp.OMPMMul solver
org.apache.mahout.viennacl.openmp.OMPMMul$
[INFO] Unable to create class OMPMMul: falling back to java version
drmReduxX: org.apache.mahout.math.drm.DrmLike[Int] =
OpMapBlock(OpTimesRightMatrix(org.apache.mahout.s...
```

The code executes fine, but it seems the OpenMP is not getting picked up.

To be clear I build these jars with -Pviennacl-omp

I the issue persists through other operations as well. I am running on a 3 node Yarn cluster/ spark 1.6.3