OProfile-1.2.0-rc1

There have been a number of improvements checked into the OProfile git repo.  It would be good to have those into an official release.  I have made a release candidate and it would be good to test this out on various platforms.

URL:
https://sourceforge.net/projects/oprofile/files/oprofile/oprofile-1.2.0rc1/oprofile-1.2.0rc1.tar.gz/download

RELEASE NOTES:

New features
------------

- New/updated Processor Support
    * ARM Cortex A17
    * IBM Power 9
    * IBM Power 8NV and NVL variants
    * IBM z13
    * Intel Goldmont
    * Intel Kabylake
    * Intel Xeon Phi (Knights Landing)
    * Achitecture specific events for Applied Micro X-Gene

Bug fixes
---------

Filed bug reports:
-------------------------------------------------------------------------
|  BUG ID   |  Summary 
|-----------|------------------------------------------------------------
|  286      | Compilation error: left shift of negative value
|  288      | oprofile fails to build with --enable-pch and gcc-6.2 
-------------------------------------------------------------------------

Other bug fixes and improvements without a filed report (e.g., posted to the lis
t):
---------------
   - Fixed compile warning and errors when using GCC 6 or GCC 7
   - Avoid using deprecated readdir_r function
   - Store samples in the archive and search the appropriate places
     for samples
   - Only start the application if the perf events setup was successful


Known problems and limitations
-------------------------

- When using operf to profile multiple events, the absolute number of
  events recorded may be substantially fewer than expected. This can
  be due to known bug in the Linux kernel's Performance Events
  Subsystem that was fixed sometime between Linux kernel version 3.1
  and 3.5.

- Monitoring processes that frequently create and destroy threads via
  the "--pid" option can be problematic.  The pipes used within operf
  and ocount may fill up can cause these programs to hang and require
  multiple cntl-C to exit rather than successfully collecting data on
  fast spawning processes and children.

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