Evaluating Asymmetric Multicore Systems-on-Chip using Iso-Metrics
March 27, 2015 Β· Declared Dead Β· π International Conference on High Performance Embedded Architectures and Compilers
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Authors
Charalampos Chalios, Dimitrios S. Nikolopoulos, Enrique S. Quintana-Orti
arXiv ID
1503.08104
Category
cs.DC: Distributed Computing
Cross-listed
cs.AR
Citations
3
Venue
International Conference on High Performance Embedded Architectures and Compilers
Last Checked
4 months ago
Abstract
The end of Dennard scaling has pushed power consumption into a first order concern for current systems, on par with performance. As a result, near-threshold voltage computing (NTVC) has been proposed as a potential means to tackle the limited cooling capacity of CMOS technology. Hardware operating in NTV consumes significantly less power, at the cost of lower frequency, and thus reduced performance, as well as increased error rates. In this paper, we investigate if a low-power systems-on-chip, consisting of ARM's asymmetric big.LITTLE technology, can be an alternative to conventional high performance multicore processors in terms of power/energy in an unreliable scenario. For our study, we use the Conjugate Gradient solver, an algorithm representative of the computations performed by a large range of scientific and engineering codes.
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