persistent_sampling_var_resources

Persistent random sampling using various methods of dynamic resource assignment

Each function generates points uniformly over the domain defined by gen_specs["user"]["ub"] and gen_specs["user"]["lb"].

Most functions use a random request of resources over a range, setting num_procs, num_gpus, or resource sets. The function uniform_sample_with_var_gpus uses the x value to determine the number of GPUs requested.

persistent_sampling_var_resources.uniform_sample(_, persis_info, gen_specs, libE_info): Randomly requests a different number of resource sets to be used in the evaluation of the generated points.

See also

test_uniform_sampling_with_variable_resources.py

persistent_sampling_var_resources.uniform_sample_with_var_gpus(_, persis_info, gen_specs, libE_info)

Requests a number of GPUs based on the x value to be used in the evaluation of the generated points. By default, simulations will assign one MPI processor per GPU.

Note that the num_gpus gen_specs[“out”] option (similar to num_procs) does not need to be passed as a sim_specs[“in”]. It will automatically be passed to simulation functions and used by any MPI Executor unless overridden in the executor.submit function.