@article{26242,
  keywords = {Daylighting simulation, Graphics processing unit, Multicore central processing unit, OpenCL, Parallel computing},
  author = {Wangda Zuo and Andrew McNeil and Michael Wetter and Eleanor S Lee},
  title = {Acceleration of the matrix multiplication of Radiance three phase daylighting simulations with parallel computing on heterogeneous hardware of personal computer},
  abstract = {<p>Building designers are increasingly relying on complex fenestration systems to reduce energy consumed for lighting and HVAC in low energy buildings. Radiance, a lighting simulation program, has been used to conduct daylighting simulations for complex fenestration systems. Depending on the configurations, the simulation can take hours or even days using a personal computer. This paper describes how to accelerate the matrix multiplication portion of a Radiance three-phase daylight simulation by conducting parallel computing on heterogeneous hardware of a personal computer. The algorithm was optimized and the computational part was implemented in parallel using OpenCL. The speed of new approach was evaluated using various daylighting simulation cases on a multicore central processing unit and a graphics processing unit. Based on the measurements and analysis of the time usage for the Radiance daylighting simulation, further speedups can be achieved by using fast I/O devices and storing the data in a binary format.</p>},
  year = {2013},
  journal = {Journal of Building Performance Simulation},
  doi = {10.1080/19401493.2013.795193},
}