Table B.1.
Computation times for the six modeling methods, including best-fit optimization and posterior distribution sampling.
Modeling method label | Software package | Involved steps | Longest instance | Total | Hardware configuration |
---|---|---|---|---|---|
Sérsic+Shapelets | LENSTRONOMY | PSO + MCMC | 17 hours | 38 hours | Intel Core i7 CPU (2 cores) |
Adaptive+Matérn | VKL | Nested sampling | 4 days | 4.2 days | Intel Xeon Platinum 8260 CPU (96 cores) |
Cluster+Exp | QLENS | Nested sampling | 1.5 hours | 1.5 hours | Intel Xeon Platinum 8160 CPU (192 cores) |
Cluster+Exp+Lumweight | QLENS | Nested sampling | 2 hours | 2 hours | Intel Xeon Platinum 8160 CPU (192 cores) |
Sparsity+Wavelets | HERCULENS | Grad. descent + SVI | 6 minutes | 3.4 hours | NVIDIA A10 GPU |
Correlated Field | HERCULENS | Grad. descent + geoVI | 45 minutes | 4.5 hours | NVIDIA A10 GPU |
Notes. Some of the final models were obtained by combining several model instances, so we quote the runtime for a single instance (the most expensive) in addition to the total runtime (assuming single instances were not performed in parallel). For additional details and software package references, see Sect. 3 and Appendix B.
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