This study attempted to accelerate annual daylighting simulations for fenestration systems in Radiance ray-tracing program. The algorithm was optimized to reduce both the redundant data input/output operations and floating-point operations. To further accelerate the simulation speed, calculation for matrices multiplications was implemented in parallel on a graphics processing unit using OpenCL, a cross-platform parallel programming language. Numerical experiments show that combination of above measures can speed up the annual daylighting simulations 101.7 times or 28.6 times when sky vector has 146 or 2306 elements, respectively.
BT - 12th International Conference of the International Building Performance Simulation Association (Building Simulation 2011) C1 -Windows and Daylighting Group
C2 - LBNL-5049E CY - Sydney, Australia DA - 11/2011 LA - eng N2 -This study attempted to accelerate annual daylighting simulations for fenestration systems in Radiance ray-tracing program. The algorithm was optimized to reduce both the redundant data input/output operations and floating-point operations. To further accelerate the simulation speed, calculation for matrices multiplications was implemented in parallel on a graphics processing unit using OpenCL, a cross-platform parallel programming language. Numerical experiments show that combination of above measures can speed up the annual daylighting simulations 101.7 times or 28.6 times when sky vector has 146 or 2306 elements, respectively.
PP - Sydney, Australia PY - 2011 SP - p. 110 EP - 117 T2 - 12th International Conference of the International Building Performance Simulation Association (Building Simulation 2011) T3 - 12th International Conference of the International Building Performance Simulation Association (Building Simulation 2011) TI - Acceleration of Radiance for Lighting Simulation by using Parallel Computing with OpenCL ER -