/ass_render_time_prediction

:hourglass: Predicting render times for Arnold renderer scenes

Primary LanguagePythonMIT LicenseMIT

ASS render time prediction

Predicting render times for Arnold renderer scenes


Versions used

  • Houdini 16.5.571
  • Arnold 5.2.0.1
  • htoa 3.1.1

Dataset 1

  • This is to determine impact of computers parameters on rendering of an example scene
  • Rendering one scene on multiple different computers
  • Computer parameters captured:
    • Total GHz number: cores * frequency
    • RAM size
    • RAM type (DDR*)
    • RAM frequency
    • SSD?
    • CPU model
    • Hyperthreading
    • CPU cache

Dataset 2

  • This dataset is used to determine ratio of render times between different scenes and an example scene
  • Rendering different scenes on the same computer
  • Scene parameters captured:
    • Amount of pixels: resolution_x * resolution_y
    • Samples
      • AA
      • diffuse
      • specular
      • transmission
      • volume indirect
      • bssrdf
      • transparency
    • Count of nodes
    • Scene bounds
    • Amount of geometry
    • Size of ASS file
    • Size of all textures referenced from the ASS file
    • Network speed
    • DoF?
    • Motion blur?
  • Notes
    • included ASS files are not expanded and followed