Critical power slope: understanding the runtime effects of frequency scaling
ICS '02 Proceedings of the 16th international conference on Supercomputing
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Amdahl's Law in the Multicore Era
Computer
Maximizing power efficiency with asymmetric multicore systems
Communications of the ACM - Finding the Fun in Computer Science Education
FAWN: a fast array of wimpy nodes
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Bias scheduling in heterogeneous multi-core architectures
Proceedings of the 5th European conference on Computer systems
Green governors: A framework for Continuously Adaptive DVFS
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
Leveraging task-parallelism in energy-efficient ILU preconditioners
ICT-GLOW'12 Proceedings of the Second international conference on ICT as Key Technology against Global Warming
Power containers: an OS facility for fine-grained power and energy management on multicore servers
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Mobile multicores: use them or waste them
Proceedings of the Workshop on Power-Aware Computing and Systems
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Heterogeneous multicore processors (HMPs), consisting of cores with different performance/power characteristics, have been proposed to deliver higher energy efficiency than symmetric multicores. This paper investigates the opportunities and limitations in using HMPs to gain energy-efficiency. Unlike previous work focused on server systems, we focus on the client workloads typically seen in modern end-user devices. Further, beyond considering core power usage, we also consider the 'uncore' subsystem shared by all cores, which in modern platforms, is an increasingly important contributor to total SoC power. Experimental evaluations use client applications and usage scenarios seen on mobile devices and a unique testbed comprised of heterogeneous cores, with results that highlight the need for uncore-awareness and uncore scalability to maximize intended efficiency gains from heterogeneous cores.