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High-Performance Energy-Efficient Multicore Embedded Computing
April 2012 (vol. 23 no. 4)
pp. 684-700
ASCII Text
x 
 
Arslan Munir, Sanjay Ranka, Ann Gordon-Ross, "High-Performance Energy-Efficient Multicore Embedded Computing," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 4, pp. 684-700, April, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2011.214,
author = {Arslan Munir and Sanjay Ranka and Ann Gordon-Ross},
title = {High-Performance Energy-Efficient Multicore Embedded Computing},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {23},
number = {4},
issn = {1045-9219},
year = {2012},
pages = {684-700},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.214},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - High-Performance Energy-Efficient Multicore Embedded Computing
IS - 4
SN - 1045-9219
SP684
EP700
EPD - 684-700
A1 - Arslan Munir,
A1 - Sanjay Ranka,
A1 - Ann Gordon-Ross,
PY - 2012
KW - High-performance computing (HPC)
KW - multicore
KW - energy-efficient computing
KW - green computing
KW - low power
KW - embedded systems.
VL - 23
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Arslan Munir, University of Florida, Gainesville
Sanjay Ranka, University of Florida, Gainesville
Ann Gordon-Ross, University of Florida, Gainesville
With Moore's law supplying billions of transistors on-chip, embedded systems are undergoing a transition from single-core to multicore to exploit this high-transistor density for high performance. Embedded systems differ from traditional high-performance supercomputers in that power is a first-order constraint for embedded systems; whereas, performance is the major benchmark for supercomputers. The increase in on-chip transistor density exacerbates power/thermal issues in embedded systems, which necessitates novel hardware/software power/thermal management techniques to meet the ever-increasing high-performance embedded computing demands in an energy-efficient manner. This paper outlines typical requirements of embedded applications and discusses state-of-the-art hardware/software high-performance energy-efficient embedded computing (HPEEC) techniques that help meeting these requirements. We also discuss modern multicore processors that leverage these HPEEC techniques to deliver high performance per watt. Finally, we present design challenges and future research directions for HPEEC system development.

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Index Terms:
High-performance computing (HPC), multicore, energy-efficient computing, green computing, low power, embedded systems.
Citation:
Arslan Munir, Sanjay Ranka, Ann Gordon-Ross, "High-Performance Energy-Efficient Multicore Embedded Computing," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 4, pp. 684-700, April 2012, doi:10.1109/TPDS.2011.214
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