caa a22 4500 605540365 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00371-014-1046-y doi (NATIONALLICENCE)springer-10.1007/s00371-014-1046-y A performance and energy evaluation of many-light rendering algorithms [Elektronische Daten] [Björn Johnsson, Tomas Akenine-Möller] Recently, the performance of many-light algorithms, where thousands of light sources are used to compute the lighting in a scene, has improved so much that they have reached the realm of real-time rendering. In general, the algorithm that is considered "best” is the one that is the fastest in terms of time per frame. Given that power efficiency may become or already is one of the most important optimization factors for both hardware and software vendors for graphics, we take a different route and instead measure both energy usage per frame and frame time for a number of popular many-light rendering algorithms on an Intel Iris Pro. We use Pareto frontiers for each configuration to examine the possibilities for trade-offs between rendering time and energy consumption. Furthermore, we examine the optimal algorithms at each configuration, and are able to draw generalized conclusions on when each algorithm is most efficient. We also record several other statistics on the algorithms, e.g., bandwidth, and are able to draw further conclusions with regard to energy consumption. Springer-Verlag Berlin Heidelberg, 2014 Energy measurement nationallicence Energy analysis nationallicence Real-time graphics nationallicence Many-light rendering nationallicence Johnsson Björn Lund University, Lund, Sweden aut Akenine-Möller Tomas Lund University, Lund, Sweden aut The Visual Computer Springer Berlin Heidelberg 31/12(2015-12-01), 1671-1681 0178-2789 31:12<1671 2015 31 371 https://doi.org/10.1007/s00371-014-1046-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-1046-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Johnsson Björn Lund University, Lund, Sweden aut NATIONALLICENCE 700 1- Akenine-Möller Tomas Lund University, Lund, Sweden aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/12(2015-12-01), 1671-1681 0178-2789 31:12<1671 2015 31 371