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
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