GitLab

* Fixed range overflow with very large numbers of atoms

* More fixes to overflow with large numbers of atoms

* Fix test failures

* Updated to latest values for physical constants

* Updated documentation on physical constants

* Updated Python unit definitions

* Fixed constants in test case

* Added a comment

* Remove unused variable from CpuCustomGBForce::calculateIxn

* Remove unused variable from CpuCalcCustomManyParticleForceKernel::initialize

* Remove unused variable from CudaCalcCustomCVForceKernel::initialize

* Remove unused variable from ReferenceCalcCustomManyParticleForceKernel::initialize

* Remove unused variables from ReferenceObc::computeBornEnergyForces

* Remove unused variable from AmoebaTorsionTorsionForceProxy::serialize

* 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

Improve the performance of sending the AmoebaVdwLambda to Cuda using pinned host memory; Updated the AmoebaVdwForceProxy to version 3, and added backward compatibility to version 2; updated TestAPIUnits.py to handle the per particle lambda flag

changed the type of the isAlchemical Cuda array to float, which is needed for the CudaNonbondedUtilities.addParameter method to work; the TestCudaAmoebaVdwForce now passes for its current set of tests, but new tests are needed to check the softcore behavior

Rough draft AmoebaVdwForce Cuda code; next steps are to add CUDA kernal compilation support for USE_SOFTCORE, VDW_LAMBDA, VDW_SOFTCORE_POWER, VDW_SOFTCORE_ALPHA, and per particle isAlchemicalI / isAlchemicalJ flags

Fixed units in swigInputConfig.py for new Alchemical AMOEBA vdW methods exposed in the OpenMM API; implemented the getDefaultParameters() on the AmoebaVdwForceImpl to return 1.0 for AmoebaVdwAlpha; Use AmoebaVdwForce::Lambda() to refer to this parameter rather than the String AmoebaVdwAlpha

AMOEBA vdW softcore is propogated through the Reference platform; pending some feedback adding it to the CUDA code can begin

for the AmoebaVdwLambda global parameter was added that returns the parameter's name; added the value None to the AlchemicalMethod enumeration; provided default values for the isAlchemical flag