llvm-project

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Jason Henline c16fb8748d [SE] Clean up device and host memory slices

Summary:
* Add LLVM_ATTRIBUTE_UNUSED_RESULT used to slicing methods in order to
  emphasize that the slicing is not done in place.
* Change device memory slice function name from `drop_front` to `slice`
  in order to match the naming convention of `llvm::ArrayRef` and host
  memory slice.
* Change the parameter names of host memory slice functions to
  `DropCount` and `TakeCount` to match device memory slice declarations.

Reviewers: jlebar

Subscribers: jprice, parallel_libs-commits

Differential Revision: https://reviews.llvm.org/D24464

llvm-svn: 281239

2016-09-12 17:20:43 +00:00

examples

[SE] RegisteredHostMemory for async device copies

2016-09-12 16:09:41 +00:00

include/streamexecutor

[SE] Clean up device and host memory slices

2016-09-12 17:20:43 +00:00

lib

[SE] RegisteredHostMemory for async device copies

2016-09-12 16:09:41 +00:00

tools/streamexecutor-config

Add streamexecutor-config

2016-09-08 16:12:33 +00:00

unittests

[SE] Clean up device and host memory slices

2016-09-12 17:20:43 +00:00

CMakeLists.txt

[StreamExecutor] Make SE work with an in-tree LLVM build.

2016-09-09 21:01:02 +00:00

customdoxygen.css

[SE] Doc tweaks

2016-09-02 17:59:12 +00:00

Doxyfile.in

Add streamexecutor-config

2016-09-08 16:12:33 +00:00

README.txt

…

README.txt

StreamExecutor
==============

StreamExecutor is a wrapper around CUDA and OpenCL (host-side) programming
models (runtimes). This abstraction cleanly permits host code to target either
CUDA or OpenCL devices with identically-functioning data parallel kernels. It
manages the execution of concurrent work targeting the accelerator, similar to a
host-side Executor.

This version of StreamExecutor can be built either as a sub-project of the LLVM
project or as a standalone project depending on LLVM as an external package.