CyberShake Study 14.2 Science Readiness Review

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CyberShake Study 14.2 Science Readiness Review. Compare impact of velocity models on Los Angeles-area hazard maps with various velocity models CVM-S4.26, BBP 1D, CVM-H 11.9, no GTL Compare to CVM-S, CVM-H 11.9 with GTL Investigate impact of GTL Compare 1D reference model - PowerPoint PPT Presentation

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CyberShake Study 14.2 Science Readiness Review

Study 14.2 Scientific Goals

• Compare impact of velocity models on Los Angeles-area hazard maps with various velocity models• CVM-S4.26, BBP 1D, CVM-H 11.9, no GTL• Compare to CVM-S, CVM-H 11.9 with GTL

• Investigate impact of GTL• Compare 1D reference model• Compare tomographic inversion results

• 286 sites (10 km mesh + points of interest)

CVM-S4.26 Model

Starting point was Po’s perturbations On 500 m grid Minimum Vs = 1000 m/s

CVM-S4.26 integrates perturbations with CVM-S4, allowing for querying in arbitrary resolution.

Preserves CVM-S GTL while lowering velocities in rock sites. If “inside the basin” (Vs<1000 m/s), preserve CVM-

S4 material properties If “outside the basin”, (Vs>1000 m/s), trilinearly

interpolate Po’s perturbations with CVM-S4.

CVM-S4.26 vs. CVM-S4

CVM-H 11.9, no GTL Model

BBP 1D Model

Proposed Study sites

Study 14.2 Data Products

• 2 CVM-S4.26 Los Angeles-area hazard maps

• 1 BBP 1D Los Angeles-area hazard map

• 1 CVM-H 11.9, no GTL Los Angeles-area hazard map

• Hazard curves for 286 sites x 4 conditions, at 3s, 5s, 10s

• 1144 sets of 2-component SGTs

• Seismograms for all ruptures (~470M)

• Peak amplitudes in DB for 3s, 5s, 10s

Study 14.2 Notables

• First CVM-S4.26 hazard maps

• First CVM-H, no GTL hazard maps

• First 1D hazard maps

• First study using AWP-SGT-GPU

• First CyberShake Study using a single workflow on one system (Blue Waters)

Study 14.2 Parameters

• 0.5 Hz, deterministic• 200 m spacing

• CVMs• Vs min = 500 m/s

• UCERF 2

• Graves & Pitarka (2010) rupture variations

Verification

• 4 sites (USC, PAS, WNGC, SBSM)• AWP-SGT-CPU, CVM-S4.26• AWP-SGT-GPU, CVM-S4.26• AWP-SGT-CPU, BBP 1D• AWP-SGT-GPU, CVM-H 11.9, no GTL

• Plotted with previously calculated curves

CVM-S4.26 (CPU)

CVM-S4.26 (orange), CVM-S (blue), CVM-H 11.9 (magenta)

CVM-S4.26 (GPU)

CVM-S4.26 GPU (magenta), CPU (orange)

CVM-H, no GTL (CPU)

3 sec, CVM-H 11.9 no GTL (black), CVM-H 11.9 with GTL (purple)

BBP 1D

BBP 1D (black), CVM-S4 (blue), CVM-H 11.9 (magenta)

Computational Requirements

• Computational time: 275K node-hrs• SGT Computational time: 180K node-hrs

• CPU: 86K node-hrs• GPU: 52K node-hrs• Study 13.4 had 29% overrun on SGTs

• PP Computational time: 95K node-hrs• 70K node-hrs• Study 13.4 had 35% overrun on PP

• Current allocation has 3.0M node-hrs remaining

Storage Requirements

• Blue Waters• Unpurged: 45 TB (for SGTs)• Purged: 12 TB (seismograms) + 771 TB (temp)

• SCEC• Archived: 12.5 TB (seismograms, PSA files)• Database: 210 GB (PSA at 3, 5, 10s)• Temporary: 5.5 TB (workflow logs)

Estimated Duration

• Limiting factors:• Queue time

• Especially for XK nodes, could be substantial percentage of run time

• Blue Waters -> SCEC transfer• If Blue Waters throughput is very high, transfer could be

bottleneck

• With queues, estimated completion is 4 weeks

• With a reservation, completion depends on the reservation size

Personnel Support

• Scientists• Tom Jordan, Kim Olsen, Rob Graves

• Technical Lead• Scott Callaghan

• Job Submission / Run Monitoring• Scott Callaghan, David Gill, Phil Maechling

• NCSA Support• Omar Padron, Tim Bouvet

• Workflow Support• Karan Vahi, Gideon Juve

Risks

• Queue times on Blue Waters• In tests, at times GPU queue times have been > 1

day

• Congestion protection events (network overloaded)• If triggered consistently, will either need to throttle

post-processing or suspend run until improvements are developed

Thanks for your time!