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0.4.0: Multi-Platform Support, Logo and License Change
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@BenjaminW3 BenjaminW3 released this 14 Jan 13:45
0.4.0
ab0b8a4
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DOI

Compatibility Changes:

  • added support for CUDA 10.0, 10.1 and 10.2
  • dropped support for CUDA 7.0 and 7.5
  • added official support for Visual Studio 2017 on Windows with CUDA 10 (built on Travis CI instead of appveyor now)
  • added support for xcode10.2-11.3 (no official CUDA support yet)
  • added support for Ubuntu 18.04
  • added support for gcc 9
  • added support for clang 7.0, 8.0 and 9.0
  • dropped support for clang 3.5, 3.6, 3.7, 3.8 and 3.9
  • added support for CMake 3.13, 3.14, 3.15 and 3.16
  • dropped support for CMake 3.11.3 and lower, 3.11.4 is the lowest supported version
  • added support for Boost 1.69, 1.70 and 1.71
  • added support for usage of libc++ instead of libstdc++ for clang builds
  • removed dependency to Boost.MPL and BOOST_CURRENT_FUNCTION
  • replaced Boost.Test with Catch2 using an internal version of Catch2 by default but allowing to use an external one

Bug Fixes:

  • fixed some incorrect host/device function attributes
  • fixed warning about comparison unsigned < 0
  • There is no need to disable all other backends manually when using ALPAKA_ACC_GPU_CUDA_ONLY_MODE anymore
  • fixed static block shared memory of types with alignemnt higher than defaultAlignment
  • fixed race-condition in HIP/NVCC queue
  • fixed data races when a GPU updates host memory by aligning host memory buffers always to 4kib

New Features:

  • Added a new alpaka Logo!
  • the whole alpaka code has been relicensed to MPL2 and the examples to ISC
  • added ALPAKA_CXX_STANDARD CMake option which allows to select the C++ standard to be used
  • added ALPAKA_CUDA_NVCC_SEPARABLE_COMPILATION option to enable separable compilation for nvcc
  • added ALPAKA_CUDA_NVCC_EXPT_EXTENDED_LAMBDA and ALPAKA_CUDA_NVCC_EXPT_RELAXED_CONSTEXPR CMake options to enable/disable those nvcc options (they were always ON before)
  • added headers for standalone usage without CMake (alpaka/standalone/GpuCudaRt.h, ...) which set the backend defines
  • added experimental HIP back-end with using nvcc (HIP >= 1.5.1 required, latest rocRand). More on HIP setup: doc/markdown/user/implementation/mapping/HIP.md
  • added sincos math function implementations
  • allowed to copy and move construct ViewPlainPtr
  • added support for CUDA atomics using "unsigned long int"
  • added compile-time error for atomic CUDA ops which are not available due to sm restrictions
  • added explicit errors for unsupported types/operations for CUDA atomics
  • replaced usages of assert with ALPAKA_ASSERT
  • replaced BOOST_VERIFY by ALPAKA_CHECK and returned success from all test kernels
  • added alpaka::ignore_unused as replacement for boost::ignore_unused

Breaking changes:

  • renamed Queue*Async to Queue*NonBlocking and Queue*Sync to Queue*Blocking
  • renamed alpaka::size::Size to alpaka::idx::Idx, alpaka::size::SizeType to alpaka::idx::IdxType (and TSize to TIdx internally)
  • replaced ALPAKA_FN_ACC_NO_CUDA by ALPAKA_FN_HOST
  • replaced ALPAKA_FN_ACC_CUDA_ONLY by direct usage of __device__
  • renamed ALPAKA_STATIC_DEV_MEM_CONSTANT to ALPAKA_STATIC_ACC_MEM_CONSTANT and ALPAKA_STATIC_DEV_MEM_GLOBAL to ALPAKA_STATIC_ACC_MEM_GLOBAL
  • renamed alpaka::kernel::createTaskExec to alpaka::kernel::createTaskKernel
  • QueueCpuSync now correctly blocks when called from multiple threads
    ** This broke some previous use-cases (e.g. usage within existing OpenMP parallel regions)
    ** This use case can now be handled with the support for external CPU queues as can bee seen in the example QueueCpuOmp2CollectiveImpl
  • previously it was possible to have kernels return values even though they were always ignored. Now kernels are checked to always return void
  • renamed all files with *Stl suffix to *StdLib
  • renamed BOOST_ARCH_CUDA_DEVICE to BOOST_ARCH_PTX
  • executors have been renamed due to the upcoming standard C++ feature with a different meaning. All files within alpaka/exec/ have been moved to alpaka/kernel/ and the files and classes have been renamed from Exec* to TaskKernel*. This should not affect users of alpaka but will affect extensions.
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