GitLab

* Replace pthreads with C++ threads

* Try to fix CI errors

* Try including -pthread linker option

* VkFFT-based 3D FFT;
* Caching of compiled VkFFT kernels;
* Extend FFT tests with more sizes.

* Unload all loaded modules in HipContext's destructor,
  HIP modules keep file desctriptors opened, but OpenMM never unloads
  modules leaking these file descriptors. This can cause crashinf of
  some scripts like test-openmm-platforms from openmmtools.
* ROCm 6.0 defines operator* for complex types (that are typedefs for
  float2 and double2), they conflict with operators defined for vectors.
  This is fixed in newer ROCm versions.
* Revert HIP_DYNAMIC_SHARED back to extern __shared__ (the macro is
  in the headers).
* Reduce the speed of the HIP platform if there are no HIP devices in
  the system.

* Remove setting of link libraries, include and link dirs and compile
  flags for each target, instead let Cmake deal with them by linking the
  main library to hip::host hiprtc::hiprtc hip::hipfft;
* Fix: custom command without ADD_CUSTOM_TARGET and ADD_DEPENDENCIES is
  executed for both static and shared targets;
* Remove IF(APPLE) parts.

Port changes in CUDA backend to HIP

Fix a warning about arithmetic operations on void* in HipArray::uploadSubArray

Fix "Error Initializing context ROCm 5.3.0"

    https://github.com/StreamHPC/openmm-hip/issues/3


    hipDeviceSetCacheConfig returns hipErrorNotSupported on 5.3
Co-authored-by: Nick Curtis <nicholas.curtis@amd.com>

* Began creating common compute framework to unify code between CUDA and OpenCL

* Began OpenCL implementation of common compute framework

* Common implementation of CMMotionRemover

* CUDA implementation of common compute interface

* Converted HarmonicBondForce to common compute API

* Converted standard bonded forces to common compute API

* Converted ExpressionUtilities to common compute API

* Created ComputeParameterSet

* Converted custom bonded forces to common compute API

* Converted CustomCentroidBondForce to common compute API

* Converted CustomManyParticleForce to common compute API

* Moved lots of duplicate code from CudaContext and OpenCLContext to ComputeContext

* Converted GayBerneForce to common compute API

* Removed obsolete kernels

* Converted verlet integrators to common compute API

* Converted Langevin and Brownian integrators to common compute API

* Converted CustomIntegrator to common compute API

* Converted CustomNonbondedForce to common compute API

* Removed uses of a deprecated API

* Fixed failing test cases

* Converted GBSAOBCForce to common compute API

* Began converting CustomGBForce to common compute API

* Finished converting CustomGBForce to common compute API

* Merged duplicated code in CudaIntegrationUtilities and OpenCLIntegrationUtilities

* Converted RMSDForce and AndersenThermostat to common compute API

* Converted CustomHbondForce to common compute API

* Merged scripts for encoding kernel sources

* Converted Drude plugin to common compute API

* Fixed errors in CMake scripts

* Attempt at fixing errors on Windows

* Added discussion of common compute API to developer guide

* Added Windows export macro for common classes

* Fixed error in CMMotionRemover

* Ubdated travis to newer Ubuntu version

* Fixed errors on CPU OpenCL

* Fixed Windows linking errors

* Added missing pragma for 32 bit atomics

* Replaced long long with mm_long

* More fixes to Windows linking

* Bug fix

Platform specific header files get installed.  This allows plugins to be built with just an OpenMM installation, not a full source tree.

Eliminated having CMake run programs to check for CUDA and OpenCL compatible GPUs.  They mostly just caused problems.

Removed ALREADY_MODIFIED_PATH variable in gpu sniffer link stanza, which I am pretty sure would not have worked as desired.

Modified link path in platforms/cuda/CMakeLists.txt to increase likelihood that CUDA_HAVE_GPU flag will be set.

Changed link line for gpu sniffing program so it works on Windows with new single FindCuda location.

FindCUDA.cmake.

based on the FindCUDA.cmake that was in the platforms/cuda/cuda-make directory.
Setting of CUDA_NVCC_FLAGS is now in top-level CMakeLists.txt, in case I ever figure out how
to get this working with the cmake 2.8 installed system version of FindCUDA.cmake.
Before this change, there were three separate FindCUDA.cmake areas.  Now there is just one.

Downgraded recent cmake changes to ghastly compliance with cmake 2.4, for the benefit of the simtk dart server.

Modified Cuda FreeEnergy plugin to use a different windows export macro than main openmm library and cuda library.
Modified CUDA_NVCC_FLAGS to be consistent with Peter's latest version in all three locations they are defined.
Added "-Xcompiler '/MD'" to CUDA_NVCC_FLAGS on Windows to avoid link error in Cuda FreeEnergy plugin.

So far tested only on GPU-having windows machine.

Lots of mystical CMake incantations to make Cuda platform compile both static and dynamic libraries correctly

 * capitalization of gpuTypes.h
 * various cmake issues