DocumentCode
3580621
Title
Simulation of CMOS IO Standard Based Energy Efficient Gurmukhi Unicode Reader on FPGA
Author
Pandey, Bishwajeet ; Singh, Gurpreet
Author_Institution
Res. & Innovation Network, Chitkara Univ., Rajpura, India
fYear
2014
Firstpage
917
Lastpage
920
Abstract
In order to fill the research gap of energy efficient hardware design in natural language processing, this project reports the designing of an energy efficient Gurumukhi Unicode Reader on Field Programmable Gate Array (FPGA). To avoid transmission line reflection, a usual problem in hardware design, impedances of transmission line, device and port should be equal. In order to avoid transmission line reflection and make the design energy efficient too, we are using low voltage variants of CMOS: LVCMOS (Low Voltage Complementary Metal oxide Semiconductor) and TTL: LVTTL (Low Voltage Transistor Transistor Logic) I/O standards were used in this project. There is 58.33% and 58.97% decrease in IO power dissipation with LVCMOS12, in compare to LVCMOS25 for 625MHz and 1GHz respectively, with no significant changes in clock power, leakage power and junction temperature. This design is also tested on 25MHz, 125MHz and 25GHz operating frequency with four different LVCMOS.
Keywords
CMOS integrated circuits; field programmable gate arrays; integrated circuit design; natural language processing; CMOS IO standard; FPGA; LVCMOS12; LVCMOS25; LVTTL; clock power; energy efficient Gurmukhi unicode reader; field programmable gate array; hardware design; junction temperature; leakage power; low voltage complementary metal oxide semiconductor; low voltage transistor transistor logic; low voltage variants; natural language processing; research gap; transmission line reflection avoidance; Clocks; Energy efficiency; Field programmable gate arrays; Junctions; Power dissipation; Power transmission lines; Standards; Energy Efficient Design; FPGA for Natural Language Processing (NLP); Gurumukhi Unicode Reader; I/O Standard; LVCMOS;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.193
Filename
7065613
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