TY - GEN
T1 - Energy consumption of graphic processing units with respect to automotive use-cases
AU - Stolz, L.
AU - Endt, H.
AU - Vaaraniemi, M.
AU - Zehe, D.
AU - Stechele, W.
PY - 2010
Y1 - 2010
N2 - With the introduction of API's like CUDA, Stream+ or OpenCL, modern Graphics Processing Units (GPU's) can be easily employed for general purpose computing. Plus, their comparatively low price per GFLOP makes them interesting candidates for coprocessors in future embedded Electronic Control Units (ECUs). Yet, as car manufacturers thrive to reduce the Thermal Design Power (TDP) of each and every ECU within the car, and GPUs are unfortunately commonly known for their high energy demands, it is important to further investigate the power consumption of GPUs for typical automotive applications. Thus, we measured the energy consumption of General Purpose GPU applications within the driver assistance and the multimedia domain, examined a prototypical implementation of a novel 3D navigation application and had a look at applications that make use of the GPU for H.264/AVC video decoding. These investigations show that the few existing prediction models for GPU power consumption are rather too simple for automotive purposes and have to be evolved in a future step.
AB - With the introduction of API's like CUDA, Stream+ or OpenCL, modern Graphics Processing Units (GPU's) can be easily employed for general purpose computing. Plus, their comparatively low price per GFLOP makes them interesting candidates for coprocessors in future embedded Electronic Control Units (ECUs). Yet, as car manufacturers thrive to reduce the Thermal Design Power (TDP) of each and every ECU within the car, and GPUs are unfortunately commonly known for their high energy demands, it is important to further investigate the power consumption of GPUs for typical automotive applications. Thus, we measured the energy consumption of General Purpose GPU applications within the driver assistance and the multimedia domain, examined a prototypical implementation of a novel 3D navigation application and had a look at applications that make use of the GPU for H.264/AVC video decoding. These investigations show that the few existing prediction models for GPU power consumption are rather too simple for automotive purposes and have to be evolved in a future step.
UR - http://www.scopus.com/inward/record.url?scp=79952024083&partnerID=8YFLogxK
U2 - 10.1109/ICEAC.2010.5702293
DO - 10.1109/ICEAC.2010.5702293
M3 - Conference contribution
AN - SCOPUS:79952024083
SN - 9781424482757
T3 - 2010 International Conference on Energy Aware Computing, ICEAC 2010
BT - 2010 International Conference on Energy Aware Computing, ICEAC 2010
T2 - 2010 International Conference on Energy Aware Computing, ICEAC 2010
Y2 - 16 December 2010 through 18 December 2010
ER -