The design and use of simplepower: a cycle-accurate energy estimation tool
Proceedings of the 37th Annual Design Automation Conference
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
The energy efficiency of CMP vs. SMT for multimedia workloads
Proceedings of the 18th annual international conference on Supercomputing
EURASIP Journal on Applied Signal Processing
Dynamic detection of uniform and affine vectors in GPGPU computations
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
VECPAR'10 Proceedings of the 9th international conference on High performance computing for computational science
Parameter optimisation in the receptor density algorithm
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Power profiling and optimization for heterogeneous multi-core systems
ACM SIGARCH Computer Architecture News
A CUDA programming toolkit on grids
International Journal of Grid and Utility Computing
Inter-warp instruction temporal locality in deep-multithreaded GPUs
ARCS'13 Proceedings of the 26th international conference on Architecture of Computing Systems
GPUWattch: enabling energy optimizations in GPGPUs
Proceedings of the 40th Annual International Symposium on Computer Architecture
High-Resolution power profiling of GPU functions using low-resolution measurement
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
Optimization power consumption model of reliability-aware GPU clusters
The Journal of Supercomputing
An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems
Integrated Computer-Aided Engineering
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GPUs are now considered as serious challengers for high-performance computing solutions. They have power consumptions up to 300 W. This may lead to power supply and thermal dissipation problems in computing centers. In this article we investigate, using measurements, how and where modern GPUs are using energy during various computations in a CUDA environment.