<p>This release contains many performance improvements, particularly to the CUDA and OpenCL platforms. The largest speedups are for very large systems, in the range of 1 million particles or more, which can now be much faster. Other simulations will also often be faster, though by smaller amounts. Some examples of cases that have been specifically optimized include PME on the OpenCL platform; very small systems (less than 3000 particles) on the CUDA platform; CUDA or OpenCL simulations on Windows; CUDA simulations that are parallelized across multiple GPUs; and CUDA or OpenCL simulations that use CustomHbondForce.</p> <p>This release adds a new class called ATMForce that implements the Alchemical Transfer Method. This ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
This release of OpenMC includes many bug fixes, performance improvements, and several notable new fe...
Recent developments in processor architecture have settled a shift from sequential processing to par...
This release contains many performance improvements, particularly to the CUDA and OpenCL platforms. ...
This is a beta of the OpenMM 8.0 release. Here are some of the more significant changes. This relea...
A major focus of this release is on better supporting machine learning potentials. Many of the chan...
A major focus of this release is performance. Not so much the speed of running a simulation, but eve...
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows us...
<div><p>OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It a...
This release adds lots of new features and improvements. Here are some of the most significant ones...
This release adds built in support for the Amber14 and CHARMM36 force fields. These are modern force...
This paper investigates the development of a molecular dynamics code that is highly portable between...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
This is a patch release containing the following changes: 2461: Prevent memory from exploding when p...
In this work, we evaluate OpenCL as a programming tool for developing performance-portable applicati...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
This release of OpenMC includes many bug fixes, performance improvements, and several notable new fe...
Recent developments in processor architecture have settled a shift from sequential processing to par...
This release contains many performance improvements, particularly to the CUDA and OpenCL platforms. ...
This is a beta of the OpenMM 8.0 release. Here are some of the more significant changes. This relea...
A major focus of this release is on better supporting machine learning potentials. Many of the chan...
A major focus of this release is performance. Not so much the speed of running a simulation, but eve...
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows us...
<div><p>OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It a...
This release adds lots of new features and improvements. Here are some of the most significant ones...
This release adds built in support for the Amber14 and CHARMM36 force fields. These are modern force...
This paper investigates the development of a molecular dynamics code that is highly portable between...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
This is a patch release containing the following changes: 2461: Prevent memory from exploding when p...
In this work, we evaluate OpenCL as a programming tool for developing performance-portable applicati...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
This release of OpenMC includes many bug fixes, performance improvements, and several notable new fe...
Recent developments in processor architecture have settled a shift from sequential processing to par...