TY - GEN
T1 - LVTTL and SSTL IO Standards Based Energy Efficient FSM Design on 16nm Ultrascale plus FPGA
AU - Pandey, Bishwajeet
AU - Bisht, Vaishnavi
AU - Ahmed, Shabeer
AU - Tomar, Geetam S.
AU - Vargas, Doris Esenarro
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/25
Y1 - 2020/9/25
N2 - Reducing power dissipation of any device at design stage leads to saving of power consumption in the lifetime of the device that eventually results in saving of energy and resources. With the emergence of Green Computing, energy efficiency has become an important criterion in designing any device. In this work, we are going to design an LVTTL and SSTL IO Standards based energy efficient FSM on a 16nm Ultrascale Plus FPGA. Manufacturer of Ultrascale Plus FPGA claims that it consumes half power in comparison to 7 Series (28nm) FPGA. Here, the power consumption of design of FSM for two different IO standards, LVTTL and SSTL is observed at different output loads: 0, 100 and 10000. We compare the power consumptions of the design for LVTTL and SSTL IO standards to find the most energy efficient architecture for our design among the two. At output load 0, there is 36.51% saving in total on chip power consumption, 84.29% saving in dynamic power consumption and 0.59% saving in static power consumption when we migrate our design from LVTTL to SSTL12. At output load 0, there is 36.06% saving in total on chip power consumption, 83.24% saving in dynamic power consumption and 0.59% saving in static power consumption when we migrate our design from LVTTL to SSTL15. In comparison to LVTTL, there is a significantly less power consumption at different output loads when using SSTL12 and SSTL15 IO standards. The designed FSM will be helpful in reducing heat dissipation, overcoming power management challenges and enhancing the energy efficiency of any device.
AB - Reducing power dissipation of any device at design stage leads to saving of power consumption in the lifetime of the device that eventually results in saving of energy and resources. With the emergence of Green Computing, energy efficiency has become an important criterion in designing any device. In this work, we are going to design an LVTTL and SSTL IO Standards based energy efficient FSM on a 16nm Ultrascale Plus FPGA. Manufacturer of Ultrascale Plus FPGA claims that it consumes half power in comparison to 7 Series (28nm) FPGA. Here, the power consumption of design of FSM for two different IO standards, LVTTL and SSTL is observed at different output loads: 0, 100 and 10000. We compare the power consumptions of the design for LVTTL and SSTL IO standards to find the most energy efficient architecture for our design among the two. At output load 0, there is 36.51% saving in total on chip power consumption, 84.29% saving in dynamic power consumption and 0.59% saving in static power consumption when we migrate our design from LVTTL to SSTL12. At output load 0, there is 36.06% saving in total on chip power consumption, 83.24% saving in dynamic power consumption and 0.59% saving in static power consumption when we migrate our design from LVTTL to SSTL15. In comparison to LVTTL, there is a significantly less power consumption at different output loads when using SSTL12 and SSTL15 IO standards. The designed FSM will be helpful in reducing heat dissipation, overcoming power management challenges and enhancing the energy efficiency of any device.
KW - Energy Efficiency
KW - Finite State Machine
KW - Green Computing
KW - LVTTL
KW - Power Consumption
KW - SSTL
KW - Ultrascale Plus FPGA
UR - http://www.scopus.com/inward/record.url?scp=85096870710&partnerID=8YFLogxK
U2 - 10.1109/CICN49253.2020.9242605
DO - 10.1109/CICN49253.2020.9242605
M3 - Conference contribution
AN - SCOPUS:85096870710
T3 - Proceedings - 2020 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
SP - 501
EP - 504
BT - Proceedings - 2020 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
A2 - Tomar, Geetam
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
Y2 - 25 September 2020 through 26 September 2020
ER -