Reduced Floating-Point Precision Implicit Monte Carlo

TL;DR

This paper presents algorithms for accurate thermal radiation transport solutions using reduced floating-point precision Implicit Monte Carlo methods, evaluating techniques to improve accuracy in half- and double-precision implementations.

Contribution

It introduces specific algorithms and techniques to enhance the accuracy of reduced-precision Implicit Monte Carlo computations for thermal radiation problems.

Findings

Reduced-precision methods can achieve acceptable accuracy with proper techniques.

Scaling and arithmetic manipulations improve reduced-precision results.

Benchmark comparisons demonstrate effectiveness of proposed methods.

Abstract

This work demonstrates algorithms to accurately compute solutions to thermal radiation transport problems using a reduced floating-point precision implementation of the Implicit Monte Carlo method. Several techniques falling into the categories of arithmetic manipulations and scaling methods are evaluated for their ability to improve the accuracy of reduced-precision computations. The results for half- and double-precision implementations of various thermal radiation benchmark problems are compared.