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Acceleration of the matrix multiplication of Radiance three phase daylighting simulations with parallel computing on heterogeneous hardware of personal computer

机译:在个人计算机的异构硬件上通过并行计算来加速辐射度三相采光模拟的矩阵乘法

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摘要

Building designers are increasingly relying on complex fenestration systems (CFS) 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 CFS. 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 the new approach was evaluated using various daylighting simulation cases on a multi-core central processing unit (CPU) and a graphics processing unit (GPU). Based on the measurements and analysis of the time usage for the Radiance daylighting simulation, further speedups can be achieved using fast input/output devices and storing the data in a binary format.
机译:建筑设计师越来越依赖复杂的开窗系统(CFS)来减少低能耗建筑照明和HVAC的能耗。 Radiance是一种照明模拟程序,已用于对CFS进行日光模拟。根据配置的不同,使用个人计算机进行仿真可能要花费数小时甚至数天。本文介绍了如何通过在个人计算机的异构硬件上进行并行计算来加速Radiance三相日光模拟的矩阵乘法部分。优化算法,并使用OpenCL并行实现计算部分。在多核中央处理器(CPU)和图形处理器(GPU)上使用各种采光模拟案例评估了新方法的速度。基于对辐射采光模拟的时间使用情况的测量和分析,可以使用快速输入/输出设备并以二进制格式存储数据来进一步提高速度。

著录项

  • 来源
    《Journal of building performance simulation》 |2014年第2期|152-163|共12页
  • 作者单位

    Building Technology and Urban Systems Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA,Department of Civil, Architectural and Environmental Engineering, University of Miami, Coral Gables, FL 33146, USA;

    Building Technology and Urban Systems Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;

    Building Technology and Urban Systems Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;

    Building Technology and Urban Systems Department, Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    parallel computing; OpenCL; daylighting simulation; multicore central processing unit; graphics processing unit;

    机译:并行计算;OpenCL;采光模拟;多核中央处理器;图形处理单元;

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