8 Commits
Author SHA1 Message Date
Thejaswi 2200939416 Upgrading to NCCL2 (#3404)
* Upgrading to NCCL2

* Part - II of NCCL2 upgradation

 - Doc updates to build with nccl2
 - Dockerfile.gpu update for a correct CI build with nccl2
 - Updated FindNccl package to have env-var NCCL_ROOT to take precedence

* Upgrading to v9.2 for CI workflow, since it has the nccl2 binaries available

* Added NCCL2 license + copy the nccl binaries into /usr location for the FindNccl module to find

* Set LD_LIBRARY_PATH variable to pick nccl2 binary at runtime

* Need the nccl2 library download instructions inside Dockerfile.release as well

* Use NCCL2 as a static library
2018-07-10 00:42:15 -07:00
Thejaswi a6331925d2 Upgrade cuda version to 9.2 for CI workflows (#3460)
- Needed by the issue #3404
 - as v9.1 doesn't have a nccl2 release
2018-07-08 23:04:51 -07:00
Thejaswi 0e78034607 Shared memory atomics while building histogram (#3384)
* Use shared memory atomics for building histograms, whenever possible
2018-06-19 16:03:09 +12:00
Thejaswi d367e4fc6b Fix for issue 3306. (#3324) 2018-05-23 13:42:20 +12:00
Thejaswi c80d51ccb3 Fix issue #3264, accuracy issues on k80 GPUs. (#3293) 2018-05-04 13:14:08 +12:00
Thejaswi 84ab74f3a5 Objective function evaluation on GPU with minimal PCIe transfers (#2935)
* Added GPU objective function and no-copy interface.

- xgboost::HostDeviceVector<T> syncs automatically between host and device
- no-copy interfaces have been added
- default implementations just sync the data to host
  and call the implementations with std::vector
- GPU objective function, predictor, histogram updater process data
  directly on GPU
2018-01-12 21:33:39 +13:00
Thejaswi 34dfe2f6de [GPU-Plugin] Support for building to specific GPU architectures (#2390)
* Support for builing gpu-plugins to specific GPU architectures
1. Option GPU_COMPUTE_VER exposed from both Makefile and CMakeLists.txt
2. updater_gpu documentation updated accordingly

* Re-introduced GPU_COMPUTE_VER option in the cmake flow.
This seems to fix the compile-time, rdc=true and copy-constructor related
errors seen and discussed in PR #2390.
2017-06-13 09:51:38 +12:00
Thejaswi 85b2fb3eee [GPU-Plugin] Integration of a faster version of grow_gpu plugin into mainstream (#2360)
* Integrating a faster version of grow_gpu plugin
1. Removed the older files to reduce duplication
2. Moved all of the grow_gpu files under 'exact' folder
3. All of them are inside 'exact' namespace to avoid any conflicts
4. Fixed a bug in benchmark.py while running only 'grow_gpu' plugin
5. Added cub and googletest submodules to ease integration and unit-testing
6. Updates to CMakeLists.txt to directly build cuda objects into libxgboost

* Added support for building gpu plugins through make flow
1. updated makefile and config.mk to add right targets
2. added unit-tests for gpu exact plugin code

* 1. Added support for building gpu plugin using 'make' flow as well
2. Updated instructions for building and testing gpu plugin

* Fix travis-ci errors for PR#2360
1. lint errors on unit-tests
2. removed googletest, instead depended upon dmlc-core provide gtest cache

* Some more fixes to travis-ci lint failures PR#2360

* Added Rory's copyrights to the files containing code from both.

* updated copyright statement as per Rory's request

* moved the static datasets into a script to generate them at runtime

* 1. memory usage print when silent=0
2. tests/ and test/ folder organization
3. removal of the dependency of googletest for just building xgboost
4. coding style updates for .cuh as well

* Fixes for compilation warnings

* add cuda object files as well when JVM_BINDINGS=ON
2017-06-06 09:39:53 +12:00