DocumentCode :
2039411
Title :
Power and energy analysis on intel Single-Chip Cloud Computer system
Author :
Sha, Shi ; Zhou, Jiawei ; Liu, Chen ; Quan, Gang
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fYear :
2012
fDate :
15-18 March 2012
Firstpage :
1
Lastpage :
6
Abstract :
Improving the computing performance of the multicore and many-core systems is one of the primary interests to computer architecture researchers currently. Message Passing Interface (MPI) and Multi-core techniques are converged to solve this problem. With performance enhancement, the power and energy consumption increase correspondingly. The Single-Chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. This paper proposed an approach to study the power and energy consumption on the 48-core SCC many-core system and realized the message passing on the SCC. First, we profile the execution time, voltage and current on each running set. Later, we calculated the power and energy consumption, and compared them with increasing number of cores, varying voltage and frequency levels. Finally, we reached a conclusion focus on its scalability and relationship between power/energy consumption and system performance in terms of execution time.
Keywords :
cloud computing; computer architecture; message passing; microprocessor chips; multiprocessing systems; performance evaluation; power consumption; Intel Labs; Intel single-chip cloud computer system; MPI; SCC many-core system; computer architecture; computing performance; energy analysis; energy consumption; experimental processor; many-core systems; message passing interface; multicore systems; multicore techniques; performance enhancement; power analysis; power consumption; primary interests; system performance; Energy consumption; Message passing; Multicore processing; Parallel processing; Power demand; Time frequency analysis; DVFS; MPI; RCCE; SCC; energy; power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon, 2012 Proceedings of IEEE
Conference_Location :
Orlando, FL
ISSN :
1091-0050
Print_ISBN :
978-1-4673-1374-2
Type :
conf
DOI :
10.1109/SECon.2012.6197074
Filename :
6197074
Link To Document :
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