The Alpha 21264 Microprocessor
IEEE Micro
Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications
Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Design perspectives on 22nm CMOS and beyond
Proceedings of the 46th Annual Design Automation Conference
Dark silicon and the end of multicore scaling
Proceedings of the 38th annual international symposium on Computer architecture
Toward Dark Silicon in Servers
IEEE Micro
QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores
Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture
HaDeS: architectural synthesis for heterogeneous dark silicon chip multi-processors
Proceedings of the 50th Annual Design Automation Conference
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The emergence of dark silicon - a fundamental design constraint absent in the past generations - brings intriguing challenges and opportunities in microprocessor design. To gracefully embrace dark silicon, design methodologies must adapt themselves to identify progressive systems that can effectively exploit the growing dark silicon. We demonstrate that relying on traditional design metrics may lead to sub-optimal design choices with the rise of the dark silicon area. We provide a new metric to guide a dark silicon aware system design and propose a stochastic optimization algorithm for dark silicon aware multicore system design. Our design approach shows 7-23% benefit in upcoming technology generations.