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
Heterogeneous Chip Multiprocessors
Computer
Corollaries to Amdahl's Law for Energy
IEEE Computer Architecture Letters
Amdahl's Law in the Multicore Era
Computer
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
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Energy efficiency is increasingly critical for multi-core processors and many-core accelerators. 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.