Exploring GPU acceleration framework for climate based daylight modeling
Graphical Abstract
Abstract
Indoor glare significantly affects the visual comfort and health of occupants, daylighting simulation can act as an effective method to analyze daylight glare issues during building design. To address the extensive computational costs associated with calculating annual daylight glare metrics with existing methods, this study introduces an acceleration framework, which can be widely applied. The framework integrates a newly developed daylight matrix multiplication program (DMM4GPU) for Graphics Processing Unit (GPU) computation acceleration and the previously developed Accelerad program, which can accelerate the calculation of Daylight Coefficient (DC) matrices in the Two-phase Method (2-PM), the View matrices in the Three-phase Method (3-PM) and Five-phase Method (5-PM). By comparing with standard Radiance Central Processing Unit (CPU) calculations, the study validated the acceleration framework’s simulation accuracy and significantly reduced computation time in daylight glare metrics calculations. It also analyzed the impact of various simulation parameters on the framework’s performance. Results indicate that the acceleration framework’s error in calculating Daylight Glare Probability (DGP) is minimal (RMSE < 0.004), and the computation times for the 2-PM, 3-PM, and 5-PM are reduced by 94.8%, 93.9%, and 83.0%, respectively. Furthermore, this study discussed modeling techniques to avoid possible errors in the daylight GPU computations.
Keywords
Electronic Supplementary Material
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