Revision 279d1eb170d2435c437ded7c9521310e41f0cd63 authored by Cedric Nugteren on 10 November 2015, 19:33:30 UTC, committed by Cedric Nugteren on 10 November 2015, 19:33:30 UTC
Updated the CLCudaAPI header
CHANGELOG
Development version (next release)
- Now using version 4.0 of the CLCudaAPI header (previously Claduc)
- Added support for machine learning models. These models can be trained on a small fraction of the
tuning configurations and can be used to predict the remainder. Two models are supported:
* Linear regression
* A 3-layer neural network
- Added experimental support for CUDA kernels
- Various minor fixes
Version 1.7.1
- Added additional device properties to JSON-output
Version 1.7.0
- Now using the Claduc C++11 interface to OpenCL
- Added a method to print all tuning results in JSON-format to file
Version 1.6.4
- Reduced the requirements from GCC 4.8.0 to 4.7.0
- Fixes various warnings on Clang
Version 1.6.3
- Reduced the requirements from GCC 4.9.0 to 4.8.0
- Minor updates to the CMake file
Version 1.6.2
- Fixed another exception-related bug
- Further improved reporting of failed runs
- Updated C++11 OpenCL API
Version 1.6.1
- Fixed a couple of issues related to exceptions
- Improved reporting of failed runs
Version 1.6.0
- Much cleaner API due to Pimpl idiom: only cltune.h header is now required
- Replaced Khronos' cl.hpp with a custom C++11 version tailored for CLTune
- Code clean-up / reorganisation
- Added an option to add fixed defines to reference kernels
- Added an option to load a kernel from string instead of from file
- Added support for size_t OpenCL buffers
Version 1.5.1
- Improved the GEMM example to support the Intel MIC (Xeon Phi) accelerators
- Updated compiler check and compiler flags
- Adds support for multiple OpenCL kernel files at once (e.g. when wanting to include a header file)
- Adds support for the std::complex data-types
- Fixed some compilation warnings regarding size_t conversions
- Updated the FindOpenCL.cmake file
Version 1.5.0
- OpenCL local work size and memory size constraints are now automatically handled
- Greatly improved the new 2D convolution example:
* Filter coefficients are now dynamic
* Added support for local memory padding
* In-lined the convolution header into the kernels and host code
* Fixed various bugs
- Moved the examples to separate subfolders
- Uses chrono timers as seed in favor of random device
- Bugfix for simulated annealing when 2 variables can only change together.
Version 1.4.1
- Added 2D convolution as an example
- Added command-line arguments to the GEMM search-method sample
- Fixed a CUDA 7 related bug in the GEMM kernel
- Fixed a logging bug in the PSO search technique
Version 1.4.0
- Added the particle swarm optimisation (PSO) search technique
- Updated the example GEMM kernel
Version 1.3.2
- Now prints OpenCL version when running on a device
- Added install targets to CMake
- Moved header files around and renamed the main include to "cltune.h"
- Catches OpenCL exceptions and skips those configurations
Version 1.3.1
- Fixed simulated annealing's random number generation
- Added new FindOpenCL CMake script
- Added option to print database-formatted output of best results
Version 1.3.0
- Allow users to select a search strategy through the API
- Added support for the simulated annealing search method
- Added a sample using simulated annealing
- Added an option to output the search process to file
Version 1.2.0
- Added the interface to customize search algorithms
- Initially added full-search and random-search as basic search algorithms
Version 1.1.0
- User-defined parameter constraints are now fully customizable by accepting arbitrary functions on
an arbitrary combination of parameters.
- Re-factored the code to use more C++11 features: auto, smart pointers, constexpr, class enums, ...
Version 1.0.1
- Replaced one more occurrence of a pointer with an std::shared_ptr
- Re-added OpenCL class constructor exception test
- Updated license information
Version 1.0.0
- Initial release to GitHub
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