Memory-compact Metropolis light transport on GPUs
Vladimir Alexandrovich Frolov, Vladimir Alexandrovich Galaktionov · Programming and Computer Software · 2017
Solutions to the key problems of Metropolis light transport implementation on GPUs are proposed. A “burn-in” method relying on the ordinary Monte Carlo method, owing to which the “startup bias” is significantly reduced, is suggested. Memory optimizations methods (including multiple proposal Metropolis light transport) are proposed, and technical aspects of efficient Metropolis light transport implementation on GPUs are discussed.