Computational Chemistry Benchmarks - Nvidia
Computational Chemistry Benchmarks - Nvidia
Computational Chemistry Benchmarks - Nvidia
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Energy Expended (kJ)<br />
140<br />
Faster, Greener — Worth It!<br />
Energy Consumed in one loop of EAM<br />
120<br />
100<br />
Lower is better<br />
GPU-accelerated computing uses<br />
53% less energy than CPU only<br />
80<br />
60<br />
40<br />
Energy Expended = Power x Time<br />
Power calculated by combining the component’s TDPs<br />
20<br />
0<br />
1 Node 1 Node + 1 K20X 1 Node + 2x K20X<br />
Blue node uses 2x E5-2687W (8 Cores and 150W per CPU) and CUDA 4.2.9.<br />
Green nodes have 2x E5-2687W and 1 or 2 NVIDIA K20X GPUs (235W) running CUDA 5.0.36.<br />
Try GPU accelerated LAMMPS for free – www.nvidia.com/GPUTestDrive
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