A nested multilevel Monte Carlo framework with approximate normal random numbers and per-variable fixed-point precision optimization predicts 5-7x cost savings at coarse levels versus standard MLMC, pending FPGA validation.
Sheridan-Methven and M
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A nested MLMC framework for efficient simulations on FPGAs
A nested multilevel Monte Carlo framework with approximate normal random numbers and per-variable fixed-point precision optimization predicts 5-7x cost savings at coarse levels versus standard MLMC, pending FPGA validation.