DocumentCode :
713140
Title :
Performance evaluation of different allocation algorithms using FPGA platforms
Author :
Nazir, Liyaqat ; Khursheed, Burhan ; Mir, Roohie Naaz
Author_Institution :
Comput. Sci. Eng., Nat. Inst. of Technol., Srinagar, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
792
Lastpage :
795
Abstract :
The communication between processing elements are suffering challenges due to latency. The arbitration algorithm used inside an arbitration unit of a network-on-chip based router plays a significant role in determining the performance of the whole network-on-chip based mesh. This paper revaluates some of the standard forms of the arbitration algorithms and presents the synthesis and implementation on FPGA platforms. The work will help NoC designers to suitable allocation algorithms for their FPGA design The implementation is carried out using various arbitration algorithms responsible for scheduling 12-bit request vector. The implementation targets Virtex5 FPGA family. The analysis concludes that the iSlip allocation algorithm shows lower power delay product and lower resource utilization and a reasonably lower area delay product when implemented for speed optimization goal. Hence it can be best used for high speed low power NoC based systems.
Keywords :
field programmable gate arrays; integrated circuit design; network routing; network-on-chip; vectors; FPGA design; Virtex5 family; arbitration algorithm; high speed low power NoC based systems; iSlip allocation algorithm; network-on-chip based mesh; network-on-chip based router; performance evaluation; request vector scheduling; speed optimization goal; word length 12 bit; Algorithm design and analysis; Delays; Field programmable gate arrays; Power dissipation; Resource management; Switches; System-on-chip; Network-on-chip; arbiter; scheduling; virtual channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-7224-1
Type :
conf
DOI :
10.1109/ECS.2015.7125020
Filename :
7125020
Link To Document :
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