GitLab

* Reference implementation of computed values for CustomNonbondedForce

* CPU implementation of computed values for CustomNonbondedForce

* Common implementation of computed values for CustomNonbondedForce

* Serialization of computed values

* ForceField supports computed values

* Fixed potential invalid memory access

* Fixed exception

* Optimized CudaSort for non-uniformly distributed data

* Optimized OpenCLSort for non-uniformly distributed data

* Further tuned distributing elements between buckets

* Copied optimizations over to OpenCL

* Use multiple streams to broadcast positions

* Use multiple streams to reduce forces

* Adds sync between default stream and peer-copy

* Minor cleanup
Co-authored-by: David Clark <daclark@nvidia.com>

* updateParametersInContext() can change tabulated functions

* Fixed error in building C wrappers

* updateParametersInContext() can change tabulated functions for CustomCentroidBondForce

* CustomNonbondedForce can update tabulated functions

* CustomGBForce can update tabulated functions

* CustomManyParticleForce can update tabulated functions

* CustomHbondForce can update tabulated functions

* Created MonteCarloFlexibleBarostat

* Improved test cases

* Documentation for MonteCarloFlexibleBarostat

* Added a missing include

* Serialization for MonteCarloFlexibleBarostat

* Added MonteCarloFlexibleBarostat to C++ API docs index

* Added citation for MonteCarloFlexibleBarostat

* Further optimization to updating long range correction

* Bug fix

* Use cuCtxPushCurrent() and cuCtxPopCurrent() for selecting CUDA context

* Fixed errors in amoeba coda

* Fixed more errors in context selection

* Allow querying current step count

* Fixed error building Python wrapper

* Simplified derivatives of min() and max()

* Fixed compilation error in kernel

Made OpenCLContext::reduceBuffer additionally store the result into a 64-bit fixed point buffer. (#3209)

* Proof of concept matching current behaviour with Breathe

* Reorganise C++ API docs to work without autosummary

* Revert to Sphinx-native search

* Move remaining pip deps to conda

* Remove unnecessary lunrsearch templates

* Remove lunrsearch from cmake

* Tidy up layout of API docs

* Get code blocks to work with Breathe

Breathe doesn't seem to support the Doxygen <preformatted> tag.
It does support the <code> tag, but better yet it supports using
<verbatim> tags to embed rst into docstrings. This commit changes
all <pre> tags to use RST verbatim, and updates the Python
documentation machinery to support it too.

* Clarified some language

* Have doxygen exclude undocumented classes and have sphinx fail on warnings for C++ API docs

* List custom forces and integrators last

* Add breathe to documentation CI

* Typo

* Fix link to custom forces in extras.rst

* Have Breathe process only public classes

* Strip OpenMM:: prefix from rst files to avoid colons in links

* Remove existing private classes from EXCLUDE_SYMBOLS

* Add comment to C++ cmake describing why we promote warnings to errors

* Revise documentation build instructions for new dependencies

* Switches to using FindCUDAToolkit

* Increases minimum CMake version to 3.17 for FindCUDAToolkit
Co-authored-by: David Clark <daclark@nvidia.com>

* Began converting AMOEBA to common platform

* Beginning of OpenCL platform for AMOEBA

* Converted AmoebaVdwForce to common platform

* Cleaned up reference AMOEBA tests

* Began converting AmoebaMultipoleForce to common platform

* Continue converting AmoebaMultipoleForce to common platform

* Bug fixes

* Bug fix

* Continue converting AmoebaMultipoleForce to common platform

* Converting AmoebaMultipoleForce and AmoebaGeneralizedKirkwoodForce to common platform

* Converting AmoebaMultipoleForce and AmoebaGeneralizedKirkwoodForce to common platform

* Creating OpenCL version of AmoebaMultipoleForce and AmoebaGeneralizedKirkwoodForce

* Creating OpenCL version of AmoebaMultipoleForce and AmoebaGeneralizedKirkwoodForce

* Creating OpenCL version of AmoebaMultipoleForce and AmoebaGeneralizedKirkwoodForce

* Converted arrays from real3 to real

* Bug fix to OpenCL AmoebaGeneralizedKirkwoodForce

* Fixes for AMD GPUs

* Began converting HippoNonbondedForce to common platform

* Continuing to convert HippoNonbondedForce to common platform

* Continuing to convert HippoNonbondedForce to common platform

* Working on unifying PME kernels

* Fixed error on devices without 64 bit atomics

* Unified PME kernels

* Converted HippoNonbondedForce to common platform

* Creating OpenCL implementation of HippoNonbondedForce

* Continuing OpenCL implementation of HippoNonbondedForce

* Mostly finished OpenCL implementation of HippoNonbondedForce

* Eliminated three component vector types in host code

* Fix errors on CPU OpenCL

* Skip double precision tests for AMOEBA on OpenCL

* Bug fixes

* Bug fixes

* Fixed compilation error

* Converted RPMD plugin to common platform

* Merged RPMD tests for different platforms

* Try to fix errors on CPU OpenCL

* Converted more code to common platform

* Converted more code to common platform

Co-authored-by: David Clark <daclark@nvidia.com>

* Made ComputeContext worker threads rethrow encountered exceptions into the main thread.

* Changed misleading variable names.

* Changed a misleading exception description

* Began implementing geometric functions on points

* Started common implementation of point functions

* Completed implementation of point functions for CustomCompoundBondForce

* Implemented point functions for CustomCentroidBondForce

* Implemented point functions for CustomManyParticleForce

* Use point functions to simplify implementation of custom forces

* Removed unnecessary code

* Fixed typo

* Improve selection of architecture to compile for

* Fixed compilation errors on older CUDA versions

* Use command line compiler if it is explicitly specified

* Don't set OPENMM_CUDA_COMPILER on Jenkins

* Frames distance calculation as matrix multiplciation

* Adds comment explaining distance calculation

* Tunes launch bound for cuda11.2

* Simplifies the effective matrix multiplication
Co-authored-by: David Clark <daclark@nvidia.com>