HOOMD-blue

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Hexagon

abs/1606.00687

Hexagon

Hexagon performance

Anderson, et. al. (2016) preprint

Depletion

10.1039/C6SM00620E

Depletion

Depletion performance

Karas AS et al. Using depletion to control colloidal crystal assemblies of hard cuboctahedra. Soft Matter, 2015

Microsphere

10.1002/adma.201501329

Microsphere

Microsphere performance

Zhang, et. al. (2015) Simultaneous Nano- and Microscale Control of Nanofibrous Microspheres Self-Assembled from Star-Shaped Polymers 27, 3947–3952

Quasicrystal

10.1038/NMAT4152

Icosahedral quasicrystal

Quasicrystal performance

Engel M, et. al. (2015) Computational self-assembly of a one-component icosahedral quasicrystal, Nature materials 14(January), p. 109-116

Triblock copolymer

10.1021/ma061120f

Polymer benchmark snapshot

Triblock copolymer performance

Anderson, J.A. (2006) et. al. - Coarse-Grained Simulations of Gels of Nonionic Multiblock Copolymers with Hydrophobic Groups. Macromolecules, 39(15):5143–5151

Lennard-Jones liquid

Generic benchmark

Lennard-Jones liquid benchmark snapshot

Lennard-Jones liquid performance

Download and run

These benchmarks are stored in a git repository. Download them by cloning the repository. You can run individual benchmarks easily. (Note: benchmarks do not yet run in v2.0)

git clone https://github.com/joaander/hoomd-benchmarks.git
cd hoomd-benchmarks/microsphere
python bmark.py

Acknowledgments

NVIDIA provided some of the GPUs used in performing these benchmarks.