Energy efficient MapReduce with VFI-enabled multicore platforms

In an era when power constraints and data movement are proving to be significant barriers for high-end computing, multicore architectures offer a low-power and highly scalable platform suitable for both data- and compute-intensive applications. MapReduce is a popular framework to facilitate the mana...

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Bibliographic Details
Main Authors: Duraisamy, Karthi, Kim, Ryan Gary, Choi, Wonje, Liu, Guangshuo, Pande, Partha Pratim, Marculescu, Radu, Marculescu, Diana
Format: Conference Proceeding
Language:English
Subjects:
Benchmark testing
Big data
Energy efficiency
low power
Multicore
Multicore processing
Networks > Network architectures
NoC
Principal component analysis
Switches
VFI
Wireless
Wireless communication
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Summary:In an era when power constraints and data movement are proving to be significant barriers for high-end computing, multicore architectures offer a low-power and highly scalable platform suitable for both data- and compute-intensive applications. MapReduce is a popular framework to facilitate the management and development of big-data workloads. In this work, we demonstrate that by using a wireless NoC-enabled Voltage Frequency Island (VFI)-based multicore platform it is possible to enhance the energy efficiency of MapReduce implementations without paying significant execution time penalties. Our experimental results show that for the benchmarks considered, the designed VFI system can achieve an average of 33.7% energy-delay product (EDP) savings over the standard baseline non-VFI mesh-based system while paying a maximum of 3.22% execution time penalty.
ISSN:0738-100X
DOI:10.1145/2744769.2744835