CyberShake Computational Estimates

We will describe or current best estimates for the CyberShake computational and data requirements as we progress in our simulation planning and testing. These estimates will help us identify which aspects of the CyberShake computational system needs to be optimized to work within our time and resource constraints.

The UCERF 3 estimates assume that the number of ruptures increases from 15,000 to 350,000, but the number of rupture variations per rupture on average remains the same.

1.0 Hz

SGTs: At 0.5 Hz, it requires 35 GPU node-hrs per component.

 (35 GPU node-hrs per component) x (3 components) x (8 times the gridpoints) x (2 times the timesteps) x (20% more efficient due to more work per GPU) = 1350 node-hrs per site.

PP: At 0.5 Hz, it requires 30 CPU node-hrs per component.

 (30 CPU node-hrs per components) x (3 components) x (25 times the rupture points) x (2 times the timesteps) = 4500 node-hrs per site.

5850 node-hours per 3-component site (187k core-hours)

1.67M node-hours for standard 3-component So Cal 286-site map (53.5M core-hours)

5.25M node-hours for increased density 3-component So Cal 898-site map (168M core-hours)

8.18M node-hours for statewide adaptive 3-component California 1400-site map (262M core-hours)

2.0 Hz

SGTs: At 1.0 Hz, it requires 450 GPU node-hrs per component.

 (450 GPU node-hrs per component) x (3 components) x (8 times the gridpoints) x (2 times the timesteps) = 22k node-hrs per site.

PP: At 1.0 Hz, it requires 1500 CPU node-hrs per component.

 (1500 CPU node-hrs per components) x (3 components) x (2 times the timesteps) = 9k node-hrs per site.

31k node-hours per 3-component site (976k core-hours)

8.72M node-hours for standard 3-component So Cal 286-site map (279M core-hours)

108M node-hours for increased density 3-component So Cal 3545-site map (3.5B core-hours)

35M node-hours for statewide adaptive 3-component California 1400-site map (1.1B core-hours)