Communications of the ACM
The Pattern on the Stone: The Simple Ideas That Make Computers Work
The Pattern on the Stone: The Simple Ideas That Make Computers Work
Thousand core chips: a technology perspective
Proceedings of the 44th annual Design Automation Conference
Amdahl's Law in the Multicore Era
Computer
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Reevaluating Amdahl's law in the multicore era
Journal of Parallel and Distributed Computing
On the Interplay of Parallelization, Program Performance, and Energy Consumption
IEEE Transactions on Parallel and Distributed Systems
An integrated GPU power and performance model
Proceedings of the 37th annual international symposium on Computer architecture
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Proceedings of the 37th annual international symposium on Computer architecture
Dark silicon and the end of multicore scaling
Proceedings of the 38th annual international symposium on Computer architecture
Modeling the effects of DFS on power consumption in hybrid chip multiprocessors
E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing
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Energy efficiency is increasingly critical for embedded systems and mobile devices, where their continuous operation is based on battery life. In order to increase energy efficiency, chip manufacturers are developing heterogeneous CMP chips. We present analytical models based on an energy consumption metric to analyze the different performance gains and energy consumption of various architectural design choices for hybrid CPU-GPU chips. We also analyzed the power consumption implications of different processing modes and various chip configurations. The analysis shows clearly that greater parallelism is the most important factor affecting energy saving.