DocumentCode
615254
Title
Performance analysis of current parallel programming models for many-core systems
Author
Yangjie Cao ; Baodong Wu ; Yongcai Tao ; Lei Shi
Author_Institution
Sch. of Software Technol., Zhengzhou Univ., Zhengzhou, China
fYear
2013
fDate
26-28 April 2013
Firstpage
132
Lastpage
135
Abstract
Recent developments in microprocessor design show a clear trend towards multi-core and many-core architectures. Nowadays, processors consisting of dozens of general-purpose cores are already available in the market, and with the rapid development of semiconductor technology and increasing computing demand, it will be very common to have a processor consisting of hundreds or even thousands of cores in the near future. This kind of processors is commonly referred as many-core processors. In the many-core processor era, however, exploiting all the advantages offered by these processors will not be trivial. In this paper, we focus on studying and analyzing several typical parallel programming models for many-core systems, and summarize the common performance-optimized problems faced by current parallel programming models.
Keywords
multiprocessing systems; parallel programming; performance evaluation; general-purpose core; many-core architecture; many-core processor; many-core systems; microprocessor design; multicore architecture; parallel programming model; performance analysis; performance-optimized problem; semiconductor technology; Benchmark testing; Computational modeling; Computers; Hardware; Heating; Jacobian matrices; Many-core processor; Parallel programming model; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location
Colombo
Print_ISBN
978-1-4673-4464-7
Type
conf
DOI
10.1109/ICCSE.2013.6553897
Filename
6553897
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