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Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
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ISTC-CC Abstract
Core Groups: System Abstractions for Extending the Dynamic Range of Client Devices using Heterogeneous Cores
Elsevier Journal of Sustainable Computing (SUSCOM), 3(3), selected papers from the 2012 IEEE International Green Computing Conference, September 2013.
Vishal Gupta, Paul Brett*, David Koufaty*, Dheeraj Reddy*, Scott Hahn*,
Karsten Schwan, Ganapati Srinivasa*
Georgia Institute of Technology
*Intel Labs
Mobile devices and applications exhibit highly diverse behavior in their usage and power/performance requirements. In order to accommodate such diversity, this paper presents 'HeteroMates' system that uses heterogeneous processors to extend the dynamic power/performance range of client devices, i.e., offer both high performance and reduced power consumption. It proposes core group abstraction that groups a small number of heterogeneous cores to form a single execution unit. Group heterogeneity is exposed as multiple heterogeneity (H) states, an interface similar to the P-state interface already used for frequency scaling. Further, the core group abstraction is extended to a multicore group to allow multiple cores within a group to be active concurrently. Also demonstrated is the importance of 'uncore' power in total SoC power consumption and the need for uncore-aware operation and uncore power scalability when seeking to extend a platform's dynamic power/performance range using heterogeneity. Experimental evaluations use real-world client applications and a unique experimental testbed comprised of heterogeneous cores and a shared uncore component. Results show that HeteroMates can provide significant performance improvements while also lowering energy consumption for a diverse set of applications when compared to homogeneous processor configurations.
FULL PAPER: pdf
