4 Commits

Author SHA1 Message Date
Philip Hyunsu Cho
9adb812a0a
RMM integration plugin (#5873)
* [CI] Add RMM as an optional dependency

* Replace caching allocator with pool allocator from RMM

* Revert "Replace caching allocator with pool allocator from RMM"

This reverts commit e15845d4e72e890c2babe31a988b26503a7d9038.

* Use rmm::mr::get_default_resource()

* Try setting default resource (doesn't work yet)

* Allocate pool_mr in the heap

* Prevent leaking pool_mr handle

* Separate EXPECT_DEATH() in separate test suite suffixed DeathTest

* Turn off death tests for RMM

* Address reviewer's feedback

* Prevent leaking of cuda_mr

* Fix Jenkinsfile syntax

* Remove unnecessary function in Jenkinsfile

* [CI] Install NCCL into RMM container

* Run Python tests

* Try building with RMM, CUDA 10.0

* Do not use RMM for CUDA 10.0 target

* Actually test for test_rmm flag

* Fix TestPythonGPU

* Use CNMeM allocator, since pool allocator doesn't yet support multiGPU

* Use 10.0 container to build RMM-enabled XGBoost

* Revert "Use 10.0 container to build RMM-enabled XGBoost"

This reverts commit 789021fa31112e25b683aef39fff375403060141.

* Fix Jenkinsfile

* [CI] Assign larger /dev/shm to NCCL

* Use 10.2 artifact to run multi-GPU Python tests

* Add CUDA 10.0 -> 11.0 cross-version test; remove CUDA 10.0 target

* Rename Conda env rmm_test -> gpu_test

* Use env var to opt into CNMeM pool for C++ tests

* Use identical CUDA version for RMM builds and tests

* Use Pytest fixtures to enable RMM pool in Python tests

* Move RMM to plugin/CMakeLists.txt; use PLUGIN_RMM

* Use per-device MR; use command arg in gtest

* Set CMake prefix path to use Conda env

* Use 0.15 nightly version of RMM

* Remove unnecessary header

* Fix a unit test when cudf is missing

* Add RMM demos

* Remove print()

* Use HostDeviceVector in GPU predictor

* Simplify pytest setup; use LocalCUDACluster fixture

* Address reviewers' commments

Co-authored-by: Hyunsu Cho <chohyu01@cs.wasshington.edu>
2020-08-12 01:26:02 -07:00
Vladislav Epifanov
388f975cf5
Introducing DPC++-based plugin (predictor, objective function) supporting oneAPI programming model (#5825)
* Added plugin with DPC++-based predictor and objective function

* Update CMakeLists.txt

* Update regression_obj_oneapi.cc

* Added README.md for OneAPI plugin

* Added OneAPI predictor support to gbtree

* Update README.md

* Merged kernels in gradient computation. Enabled multiple loss functions with DPC++ backend

* Aligned plugin CMake files with latest master changes. Fixed whitespace typos

* Removed debug output

* [CI] Make oneapi_plugin a CMake target

* Added tests for OneAPI plugin for predictor and obj. functions

* Temporarily switched to default selector for device dispacthing in OneAPI plugin to enable execution in environments without gpus

* Updated readme file.

* Fixed USM usage in predictor

* Removed workaround with explicit templated names for DPC++ kernels

* Fixed warnings in plugin tests

* Fix CMake build of gtest

Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
2020-08-08 18:40:40 -07:00
Philip Hyunsu Cho
0d411b0397
[CI] Simplify CMake build with modern CMake techniques (#5871)
* [CI] Simplify CMake build

* Make sure that plugins can be built

* [CI] Install lz4 on Mac
2020-07-08 04:23:24 -07:00
Jiaming Yuan
ab357dd41c
Remove plugin, cuda related code in automake & autoconf files (#4789)
* Build plugin example with CMake.

* Remove plugin, cuda related code in automake & autoconf files.

* Fix typo in GPU doc.
2019-08-18 16:54:34 -04:00