Comprehensible rendering of 3-D shapes
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Shadow algorithms for computer graphics
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
Casting curved shadows on curved surfaces
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Graphics for the masses: a hardware rasterization architecture for mobile phones
ACM SIGGRAPH 2003 Papers
A flexible simulation framework for graphics architectures
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Studying Thermal Management for Graphics-Processor Architectures
ISPASS '05 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005
Communications of the ACM
Dark silicon and the end of multicore scaling
Proceedings of the 38th annual international symposium on Computer architecture
Precision selection for energy-efficient pixel shaders
Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics
Power gating strategies on GPUs
ACM Transactions on Architecture and Code Optimization (TACO)
GPUs and the Future of Parallel Computing
IEEE Micro
A hardware unit for fast SAH-optimised BVH construction
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Power efficiency has become the most important consideration for many modern computing devices. In this paper, we examine power efficiency of a range of graphics algorithms on different GPUs. To measure power consumption, we have built a power measuring device that samples currents at a high frequency. Comparing power efficiency of different graphics algorithms is done by measuring power and performance of three different primary rendering algorithms and three different shadow algorithms. We measure these algorithms' power signatures on a mobile phone, on an integrated CPU and graphics processor, and on high-end discrete GPUs, and then compare power efficiency across both algorithms and GPUs. Our results show that power efficiency is not always proportional to rendering performance and that, for some algorithms, power efficiency varies across different platforms. We also show that for some algorithms, energy efficiency is similar on all platforms.