llvm-project/openmp/libomptarget
Jennifer Yu c274b19866 Add implicit map for a list item appears in a reduction clause.
A new rule is added in 5.0:
If a list item appears in a reduction, lastprivate or linear clause
on a combined target construct then it is treated as if it also appears
in a map clause with a map-type of tofrom.

Currently map clauses for all capture variables are added implicitly.
But missing for list item of expression for array elements or array
sections.

The change is to add implicit map clause for array of elements used in
reduction clause. Skip adding map clause if the expression is not
mappable.
Noted: For linear and lastprivate, since only variable name is
accepted, the map has been added though capture variables.

To do so:
During the mappable checking, if error, ignore diagnose and skip
adding implicit map clause.

The changes:
1> Add code to generate implicit map in ActOnOpenMPExecutableDirective,
   for omp 5.0 and up.
2> Add extra default parameter NoDiagnose in ActOnOpenMPMapClause:
Use that to skip error as well as skip adding implicit map during the
mappable checking.

Note: there are only tow places need to be check for NoDiagnose. Rest
of them either the check is for < omp 5.0 or the error already generated for
reduction clause.

Differential Revision: https://reviews.llvm.org/D108132
2021-08-19 12:53:47 -07:00
..
DeviceRTL [libomptarget][devicertl] Replace lanemask with uint64 at interface 2021-08-18 20:47:33 +01:00
cmake/Modules [NFC][libomptarget] Fixed -DLLVM_ENABLE_RUNTIMES="openmp" build. 2021-06-18 09:20:10 -07:00
deviceRTLs [libomptarget][nfc] Move lanemask_t type into target_impl.h 2021-08-19 18:50:03 +01:00
include [OpenMP][Tool] Introducing the `llvm-omp-device-info` tool 2021-07-27 22:38:35 -04:00
plugins [openmp][nfc] Replace OMPGridValues array with struct 2021-08-19 13:25:42 +01:00
src [libomptarget][NFC] Fix compilation issue with GCC 2021-08-10 09:43:43 -07:00
test Add implicit map for a list item appears in a reduction clause. 2021-08-19 12:53:47 -07:00
tools [OpenMP] Fixing llvm-omp-device-info compilation with runtimes 2021-07-30 13:09:08 -05:00
utils Revert "[OpenMP] Codegen aggregate for outlined function captures" 2021-07-19 07:54:26 -07:00
CMakeLists.txt [openmp] Add OMPT initialization in libomptarget 2021-08-04 18:00:11 +02:00
README.txt Unify build documentation and convert to reStructuredText 2017-12-27 09:15:10 +00:00

README.txt

    README for the LLVM* OpenMP* Offloading Runtime Library (libomptarget)
    ======================================================================

How to Build the LLVM* OpenMP* Offloading Runtime Library (libomptarget)
========================================================================
In-tree build:

$ cd where-you-want-to-live
Check out openmp (libomptarget lives under ./libomptarget) into llvm/projects
$ cd where-you-want-to-build
$ mkdir build && cd build
$ cmake path/to/llvm -DCMAKE_C_COMPILER=<C compiler> -DCMAKE_CXX_COMPILER=<C++ compiler>
$ make omptarget

Out-of-tree build:

$ cd where-you-want-to-live
Check out openmp (libomptarget lives under ./libomptarget)
$ cd where-you-want-to-live/openmp/libomptarget
$ mkdir build && cd build
$ cmake path/to/openmp -DCMAKE_C_COMPILER=<C compiler> -DCMAKE_CXX_COMPILER=<C++ compiler>
$ make

For details about building, please look at README.rst in the parent directory.

Architectures Supported
=======================
The current library has been only tested in Linux operating system and the
following host architectures:
* Intel(R) 64 architecture
* IBM(R) Power architecture (big endian)
* IBM(R) Power architecture (little endian)
* ARM(R) AArch64 architecture (little endian)

The currently supported offloading device architectures are:
* Intel(R) 64 architecture (generic 64-bit plugin - mostly for testing purposes)
* IBM(R) Power architecture (big endian) (generic 64-bit plugin - mostly for testing purposes)
* IBM(R) Power architecture (little endian) (generic 64-bit plugin - mostly for testing purposes)
* ARM(R) AArch64 architecture (little endian) (generic 64-bit plugin - mostly for testing purposes)
* CUDA(R) enabled 64-bit NVIDIA(R) GPU architectures

Supported RTL Build Configurations
==================================
Supported Architectures: Intel(R) 64, IBM(R) Power 7 and Power 8

              ---------------------------
              |   gcc      |   clang    |
--------------|------------|------------|
| Linux* OS   |  Yes(1)    |  Yes(2)    |
-----------------------------------------

(1) gcc version 4.8.2 or later is supported.
(2) clang version 3.7 or later is supported.


Front-end Compilers that work with this RTL
===========================================

The following compilers are known to do compatible code generation for
this RTL:
  - clang (from https://github.com/clang-ykt )
  - clang (development branch at http://clang.llvm.org - several features still
    under development)

-----------------------------------------------------------------------

Notices
=======
This library and related compiler support is still under development, so the
employed interface is likely to change in the future.

*Other names and brands may be claimed as the property of others.