The computational efficiency and energy-to-solution of several applications using the GAMESS quantum chemistry suite of codes is evaluated for 32-bit and 64-bit ARM-based computers, and compared to an x86 machine. The x86 system completes all benchmark computations more quickly than either ARM system and is the best choice to minimize time to solution. The ARM64 and ARM32 computational performances are similar to each other for Hartree–Fock and density functional theory energy calculations. However, for memory-intensive second-order perturbation theory energy and gradient computations the lower ARM32 read/write memory bandwidth results in computation times as much as 86% longer than on the ARM64 system. The ARM32 system is more energy effic...
The challenges specific to the development of computational chemistry software are discussed. Select...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
A series of open source benchmarks for computer performance analysis of personal computers with a fo...
The computational efficiency and energy-to-solution of several applications using the GAMESS quantum...
The computational efficiency and energy-to-solution of several applications using the GAMESS quantum...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
M. W. Schmidt, K. K. Baldridge, J. A. Boatz, S. T. Elbert, M. S. Gordon, J. H. Jensen, S. Koseki, N...
In this paper we investigate the energy efficiency of processors based on ARM Cortex-A9 cores for sc...
The algorithms employed are computationally intensive and, as a result, increased performance (both ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
Parallel hardware has become readily available to the computational chemistry research community. Th...
In this work, we demonstrate that semiempirical quantum chemical calculations can be accelerated sig...
As technology moves forward with newer hardware, new computational techniques, and new algorithms, i...
Abstract: Energy minimization is an important step in molecular modeling, with applications in molec...
The performance of the many-core Tile64 versus the multi-core Xeon x86 architecture on bioinformatic...
The challenges specific to the development of computational chemistry software are discussed. Select...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
A series of open source benchmarks for computer performance analysis of personal computers with a fo...
The computational efficiency and energy-to-solution of several applications using the GAMESS quantum...
The computational efficiency and energy-to-solution of several applications using the GAMESS quantum...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
M. W. Schmidt, K. K. Baldridge, J. A. Boatz, S. T. Elbert, M. S. Gordon, J. H. Jensen, S. Koseki, N...
In this paper we investigate the energy efficiency of processors based on ARM Cortex-A9 cores for sc...
The algorithms employed are computationally intensive and, as a result, increased performance (both ...
International audienceWe present a way to improve the performance of the electronic structure Vienna...
Parallel hardware has become readily available to the computational chemistry research community. Th...
In this work, we demonstrate that semiempirical quantum chemical calculations can be accelerated sig...
As technology moves forward with newer hardware, new computational techniques, and new algorithms, i...
Abstract: Energy minimization is an important step in molecular modeling, with applications in molec...
The performance of the many-core Tile64 versus the multi-core Xeon x86 architecture on bioinformatic...
The challenges specific to the development of computational chemistry software are discussed. Select...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
A series of open source benchmarks for computer performance analysis of personal computers with a fo...