DocumentCode
658985
Title
Performance evaluation of multicore systems: From traffic analysis to latency predictions (Embedded tutorial)
Author
Zhiliang Qian ; Bogdan, Paul ; Chi-Ying Tsui ; Marculescu, Radu
Author_Institution
Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear
2013
fDate
18-21 Nov. 2013
Firstpage
82
Lastpage
84
Abstract
As technology scaling down allows multiple processing components to be integrated on a single chip, the modern computing systems led to the advent of Multiprocessor System-on-Chip (MPSoC) and Chip Multiprocessor (CMP) design. Network-on-Chips (NoCs) have been proposed as a promising solution to tackle the complex on-chip communication problems on these multicore platforms. In order to optimize the NoC-based multicore system design, it is essential to evaluate the NoC performance with respect to numerous configurations in a large design space. Taking the traffic characteristics into account and using an appropriate latency model become crucially important to provide an accurate and fast evaluation. In this tutorial, we survey the current progresses in these aspects. We first review the NoC workload modeling and traffic analysis techniques. Then, we discuss the mathematical formalisms of evaluating the performance under a given traffic model, for both the average and worst-case latency predictions. Finally, the advantages of combining the analytical and simulation-based techniques are discussed and new attempts for bridging these two approaches are reviewed.
Keywords
integrated circuit design; microprocessor chips; multiprocessing systems; network-on-chip; performance evaluation; CMP; MPSoC; NoC performance evaluation; NoC traffic analysis technique; NoC workload modeling technique; NoC-based multicore system design; average latency predictions; chip multiprocessor design; complex on-chip communication problems; computing systems; mathematical formalisms; multiple processing components; multiprocessor system-on-chip design; network-on-chips; simulation-based techniques; traffic model; worst-case latency predictions; Analytical models; Computational modeling; Mathematical model; Multicore processing; Performance evaluation; Predictive models; System-on-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2013 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Type
conf
DOI
10.1109/ICCAD.2013.6691101
Filename
6691101
Link To Document