GitLab

* 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

* ATMForce reorders inner contexts for better performance

* Fixed obsolete comments

* Minor optimization to validating exclusions

* Optimizations to findMoleculeGroups()

* Improved performance of CustomHbondForce on large systems

* Fixed CUDA compilation errors

* 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

* Common implementation of BondedUtilities

* Common implementation of UpdateStateDataKernel

WIP - looking for a way to optimise performance of creating contexts by removing temporary arrays (and their associated mallocs/frees) (#4261)

* Suggesting a "haveSameParameters" function for CustomNonbondedForce which could be
used to avoid creating temporary copies of arrays when testing if particles are
the same.

Also updating "getParticleParameters" so that it re-uses the memory of the
passed vector argument, rather than deallocating and reallocating it
via a copy.

* Revert "Suggesting a "haveSameParameters" function for CustomNonbondedForce which could be"

This reverts commit e80ec2d2e9981abb90711636bf3a78d0c49e43fc.

* Moved to `thread_local static` as suggested to prevent new vector allocations on each function call.

Updated `getParameters` and `getBondParameters` to re-use the memory from the argument rather
than re-allocating via the copy.

* Forgot to reuse the memory for the groups...

* Reverted back the manual copies via memcpy as they aren't needed. Looking at the header
file and benchmarking shows that std::vector does the right thing.

* Confined `thread_local static` only to ForceInfo methods, and have also put declarations
for multiple variables back onto a single line

* Removed `thread_local static` from the constructor

* Moved constructor declarations back into the for loop

* Implemented CustomCPPForceImpl

* Documentation for CustomCPPForceImpl

* Attempt at fixing Windows compilation error

* Improved documentation

* remove std::binary_function from ConstraintOrderer functor

* whoops whitespace

* Amoeba minor cleanup

- Fix variable name in string
- Remove odd space between variable and period that is inconsistently styled

* Replaces random tabs with spaces in ATM Force

* 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 customized

* Optional displacements at the initial state

* Fixed compilation error build C wrapper

* Address edge case of default energy expression

* Consistent naming of the variables of the displacement states

* Test of soft core function of the default energy expression

* Mark addForce() as taking ownership

* initial python test for ATMForce

* Test custom expressions

* Expanded C++ API documentation for ATMForce

* Energy parameter derivatives

* Serialization for ATMForce

* Documentation, cleanup, and fixes

* Fixed typos

* getPerturbationEnergy() computes energy

* Another test case

* Minor edits

---------
Co-authored-by: Peter Eastman <peastman@stanford.edu>
Co-authored-by: Michael Plainer <plainer@ymail.com>

* save atomIndex order in MCBarostat kernel

* Update device indices

* Only setAtomIndex if there was a reorder

* Attempt at fixing errors with barostat

* Missing ContextSelector

* Skip neighbor list for very small systems

* Fixed typos

* Don't skip box size check when not using neighbor list

* Made test larger to ensure it uses neighbor list

* Faster implementation of CustomHbondForce

* Minor optimization

* Optimized writing forces, which are often zero

* Fix test failure on CPU OpenCL

* Bug fix

* Support kernel files with extensions of any length (like .hip)

* Do not allow to replace symbols in single-line comments

* Add OPENMM_BUILD_COMMON CMake option

It allows to build and install common platform files even if
CUDA or OpenCL platforms are not built.
This is required for HIP platform (openmm-hip) if ROCm OpenCL
packages are not installed.

* Add an option for Python wrapper to install into user packages

OPENMM_PYTHON_USER_INSTALL is OFF be default.

* Support FFT backends in Amoeba plugin

The HIP platform supports FFT backends, this commit moves
findLegalFFTDimension to ComputeContext, so platforms can have their own
implementations.

* Compatibility for common platform w/ new HIP platform

* Do not use volatile with private and local AtomData parameters on HIP

The generated code is not optimal, for example, the compiler generates
flat_load instructions instead of ds_read.

* Tune launch bounds for PME grid-related kernels and add WA for RDNA

Force the compiler to use all registers for gridSpreadCharge and
gridInterpolateForce by limiting max waves per EU to 1 on CDNA GPUs,
RDNA GPUs work better without it.

* Optimize atom data structs in GBSA and Amoeba on HIP

Manually rearrange fields, add paddings and force alignments to
have faster accesses to shared memory: ds_read and ds_write may
work slower if addresses are not aligned by 16 bytes.
Co-authored-by: Anton Gorenko <anton@streamhpc.com>
Co-authored-by: Nick Curtis <nicholas.curtis@amd.com>