GitLab

* Replace SimTK-containing file headers

* Update file headers for new Tinker reader files added

* Initial implementation of C++ API

* Add kernel interface and information for API generation

* API updates for updating electrode parameters

* Add serialization proxy for ConstantPotentialForce

* Update file headers

* Add CG error tolerance and fix units on getCharges() return value

* Initial implementation of matrix solver

* Fixes and conjugate gradient solver

* Try to fix Linux and Windows builds

* Make sure charge constraint target is on total charge

* Restore handling of exceptions like NonbondedForce since they won't involve electrode atoms

* Ameliorate numerical instability in constrained conjugate gradient

* Fix uninitialized pointers, memory leak, and style

* Set CG tolerance units in Python API

* Test ConstantPotentialForce serialization

* Read/write ExceptionsUsePeriodicBoundaryConditions as bool

* Improve constrained conjugate gradient robustness to roundoff error accumulation

* Recompute matrix if electrode atoms move due to setPositions()

* Tolerance is now in gradient (potential) units again

* Add neutralizing background correction

* Add Python API tests

* Fixes for CG and nonbonded exceptions

* Add initial tests checking against existing NonbondedForce behavior

* Expand test suite and fix some implementation issues

* Add additional tests using larger reference system

* Add Gaussian test

* Finish test against reference computation

* CPU platform implementation

* Fixes for compilation on some platforms

* Fixes for constant potential with AVX/AVX2

* Test linking CPU PME library to constant potential test directly

* Older SWIG versions don't support Python set to C++ set conversion

* Add user guide entry

* Increase speed of reference test

* Conditional building constant potential CPU test is unreliable

* Debugging

* Miscellaneous fixes and improvements for CI

* Cache charges so solver will not run if system and coordinates have not changed

* Preconditioner flag, stability, and automatic detection improvements

* Add GPU platform-specific constant potential kernel classes

* PME and device-host I/O changes to support constant potential

* Initial common constant potential implementation

* Constant potential fixes:

* Fix preconditioner PME position/charge save/restore logic

* Fix reduction synchronization in constant potential solver kernels

* Add double-float accumulation for conjugate gradient solver when
  double unsupported by hardware

* Improve conditioning of a test system, and make sure particles are in or
out of cutoff for consistency and ease of comparing between platforms

* Reorder guess charges for CG when atom reordering changes positions

* Remove PME queue for now

* Trying to debug optimized direct space derivative kernel

* Remove extraneous debugging lines

* Style updates; just make CPU preconditioner double precision

* Debugging updated optimized direct derivatives kernel for all but OpenCL CPU

* OpenCL CPU implementation of direct space derivatives, and cleanup

* Try to make test even shorter to not time out on CI

* Temporary - Debugging

* Debugging

* Debugging

* Debugging

* Debugging

* Remove debugging code and fix reduction synchronization

* Fix other reductions

* Debugging - are tests hanging or just slow on CI?

* Debugging

* Debugging

* Fix macro for case when double precision is available on hardware

* Remove changes for debugging again

* Try to improve matrix solver cache locality by uploading transpose

* Fixes for atom ordering and periodic images

* Can't rely on reorder listener for cell offset updates

* Test reducing number of contexts and timing for CI

* Debugging

* Remove timing code and revert debugging changes

* Matrix solver and plasma term optimizations

* Reduce CG solver kernel calls and downloads

* Don't read back convergence flag from global memory

* Update PME due to refactoring in master branch

* Faster matrix solver (1st step)

* Faster matrix solver for CUDA

* Faster matrix solver compatibility with non-CUDA platforms

* Matrix solver fixes

* Use warp shuffle reductions when possible

* Attempt to work around intermittent compiler crash in Intel CPU OpenCL

* Optimize CG solver kernel 1

* Rework CG solver so some kernels can use more than 1 block

* Don't run out of shared memory

* Asynchronously download convergence flag while clearing buffers

---------
Co-authored-by: Evan Pretti <pretti@sh03-17n15.int>

* Reference implementation of SymmetrySite

* Common implementation of SymmetrySite

* Removed duplicated code

* Serialization for SymmetrySite

* Fixed compilation error building C wrapper

* Added SymmetrySite to user guide

* Bug fix

* Added P21 test case

* Add correction for self energy of neutralizing plasma

* Fixed compilation errors

* Update total charge in copyParametersToContext()

* Bug fixes

* Fixed compilation errors in HIP

* Bug fix

* 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

* Replace pthreads with C++ threads

* Try to fix CI errors

* Try including -pthread linker option

* CPU platform checkpoints random number generator

* Fix Windows compilation error

* Another Windows compilation error

* updateParametersInContext() can modify parameter offsets

* Reordering respects parameter offsets

* Implemented for CUDA and HIP

* Unified lots of parallel computation code between platforms

* Unified test code between platforms

* Eliminated duplicated timing code

* Optimize CustomNonbondedForce.updateParametersInContext()

* Optimized uploading changed values to GPU

* Optimized updateParametersInContext() for lots of bonded forces

* Optimized updateParametersInContext() for CustomExternalForce

* Optimized updateParametersInContext() for NonbondedForce

* Code changes for HIP platform

* Made LangevinIntegrator identical to LangevinMiddleIntegrator

* Removed unused code

* VariableLangevinIntegrator uses LFMiddle

* Reference platform supports nested virtual sites

* Common platform supports nested virtual sites

* Fixed force distribution from nested virtual sites

* Fixed test failures

* Implemented CustomCPPForceImpl

* Documentation for CustomCPPForceImpl

* Attempt at fixing Windows compilation error

* Improved documentation

* Added FAQ links to error messages

* Added missing Windows export

* Vectorize NonbondedForce with no cutoff

* Vectorize CustomNonbondedForce with no cutoff

* Memory efficient dense neighbor list

* Fixed errors

* Began vectorizing CustomNonbondedForce

* Refactored CpuCustomNonbondedForce to support multiple vector sizes

* AVX implementation of CpuCustomNonbondedForce

* Fixed compilation errors

* 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

* 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

* 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

* Fixed range overflow with very large numbers of atoms

* More fixes to overflow with large numbers of atoms

* Fix test failures

The exclusion mask was 8-bits wide, but future CPU support will require
more bits than this (e.g., AVX-512 will be 16-bit).

* CPU: Refactored code to be generic across vector CPU platforms.

Ewald and non-Ewald interactions now share a common code base, templated on
their interaction type.

The vec4 and vec8 implementations have been replaced by a single generic implementation
class which is templated on SIMD type. Currently works for SIMD4 and SIMD8 types, but
can be extended in future to support other types (e.g., AVX-512).

Modified runtime CPU support to lay groundwork for future SIMD types.

Pulled out some vector utility functions (gather pair, reduce),
and refactored the AVX CPU code to make use of them.

* CPU: Fixed coding standards and incorrect header include.

* CPU: Fixed code review comments from PR #2661

* CPU: Fixed CI build issues.

* CPU: Further CI fixes.

* CPU: Fix for unit test failure on MacOS.

Reverted optimised code to go back to a version which is thought to work
on MacOS. The optimisation will be ...