segfault on simple kernel

[GratefulTony]

The issue is pretty self-explanatory: I write a simple job based on demo code, I verify my GPU is recognized, and the context is properly initted-- but when I execute the code, the computatin fails with a segfault... I have an intuition that the issue is coming around compilation time for the kernel, but I don't really know.

Any hints to further debug this issue?

object Woah extends App {

  import scalacl._

  implicit val context = Context.best

  println(context.context)
  println("stage 0")
  val a = CLArray[Int](1, 2, 3)
  val v = 10
  println("stage 1")
  val clFunction: CLFunction[Int, Float] = (x: Int) => {
    x * 2.0f * v
  }
  println("stage 2-- expect FAIL")
  val clResul = a.map(clFunction).toArray
  println(" we will probably not get to stage 3 : (")
}



CLContext(platform = NVIDIA CUDA; devices = Quadro K1100M)
stage 0
stage 1
stage 2-- expect FAIL
#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x00007f62df464aea, pid=2059, tid=140062637090560
#
# JRE version: OpenJDK Runtime Environment (7.0_79-b14) (build 1.7.0_79-b14)
# Java VM: OpenJDK 64-Bit Server VM (24.79-b02 mixed mode linux-amd64 compressed oops)
# Derivative: IcedTea 2.5.6
# Distribution: Ubuntu 14.04 LTS, package 7u79-2.5.6-0ubuntu1.14.04.1
# Problematic frame:
# C  [libc.so.6+0x88aea]  strlen+0x2a
#
# Failed to write core dump. Core dumps have been disabled. To enable core dumping, try "ulimit -c unlimited" before starting Java again
#
# An error report file with more information is saved as:
REDACTED
#
# If you would like to submit a bug report, please include
# instructions on how to reproduce the bug and visit:
#   http://icedtea.classpath.org/bugzilla
# The crash happened outside the Java Virtual Machine in native code.
# See problematic frame for where to report the bug.
#

Process finished with exit code 134