GitLab

* Reference implementation of RGForce

* GPU implementation of RGForce

* Serialization

* Documentation

* Fix compilation error

* Fixed error building API docs

* Began implementing QTBIntegrator

* Adaptation and deconvolution

* Continuing reference implementation

* Continuing to implement QTBIntegrator

* Use common thread pool

* More tests, documentation, and threading

* Fix segfault

* Serialize adapted friction when creating a State

* Beginning of GPU implementation

* Added missing files

* Bug fixes

* Fixed inverse FFT

* Continuing GPU implementation

* Checkpointing

* Bug fixes

* Test cases run faster

* Changes needed for latest main branch

* Minor optimizations

* Documentation

* Fixed atom reordering

* Added parahydrogen test case

* Workaround for bug in Microsoft's compiler

* Added a Python test

* Normalize kernel in deconvolution

* Minor documentation improvements

* Created DPDIntegrator class

* Reference implementation of DPDIntegrator

* Build neighbor list for DPDIntegrator

* Minor fixes

* Documentation for DPDIntegrator

* Python API for DPDIntegrator

* Preliminary OpenCL implementation of DPDIntegrator

* Enable USE_PERIODIC

* Use updated positions in DPD thermostat

* Working on neighbor list for OpenCL DPDIntegrator

* ReorderListener for particle types

* Serialization for DPDIntegrator

* CUDA implementation of DPDIntegrator

* HIP implementation of DPDIntegrator

* Fixed compile error in Python wrapper

* Fixed compile error in wrappers

* Fixed uninitialized memory in reference neighbor list

* Added DPDIntegrator to C++ API docs

* Fixed incorrect launch size

* Fixed nan in DPD random number generator

* Minor optimizations

* Improved load balancing

* Fixed an indexing error

* Neighbor list uses the maximum cutoff of any force

* Fixed HIP compilation error

* Fixed access to invalid memory

* Added test case for diffusion coefficient

* Try to debug segfaults on CI

* Debugging

* Debugging

* Debugging

* Debugging

* Debugging

* Debugging

* Possible fix

* Debugging

* Debugging

* Debugging

* Use correct block size on CPU OpenCL

* Workaround for bug in Intel's OpenCL for CPUs

* Removed an unnecessary define

* Removed debugging code

* Include Dart

* More Intel workarounds

* Workaround for error in NVIDIA OpenCL

Co-authored-by: Emilio Gallicchio <emilio.gallicchio@gmail.com>

* Draft integration of the Alchemical Transfer Method (ATM) plugin

* Attempt to store and retrieve forces--does not compile

* Implement addForce()/getForce() methods

* Throw exception when specifying properties without a Platform (#4130)

* Fixed DOF calculation for NoseHooverIntegrator (#4128)

* Fix variance in documentation of VerletIntegrator (#4138)

* Python API for ATMForce

* Fixed compilation error

* Minor cleanup of formatting and documentation

* Files for ATMForce test cases

* More cleanup

* Removed variable groups

* Test ATMForce with two particles

* More tests for ATMForce plus fixes

* Added missing header

* Rework interface to pass displacements as vector of parameters

* Revert "Rework interface to pass displacements as vector of parameters"

This reverts commit 5e092031f31ded1137b677588f007add1c2d6f82.

* Test with nonbonded force

* Allow energy expression to be custom...

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

Moved SFMT into libraries folder, and restructured it to allow multiple independent random number generators

All platforms now handle nonbonded exceptions in a consistent way (they ignore cutoffs and periodic boundary conditions).  Also started OpenCL implementation of CustomHbondForce.

Modified the API for lots of classes so that the number of particles/bonds/etc. need not be specified in the constructor.

Implemented the Ewald summation method in the reference platform. Preliminary cuda prototype is included.