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Technology scaling roadmap for FinFET-based FPGA clusters under process variations

  • Osama Abdelkader
  • , Mohamed Mohie El-Din
  • , Hassan Mostafa
  • , Hamdy Abdelhamid
  • , Hossam A.H. Fahmy
  • , Yehea Ismail
  • , Ahmed M. Soliman
  • Siemens
  • Cairo University
  • Zewail City of Science and Technology

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The technology scaling impact on FinFET-based Field-Programmable Gate Array (FPGA) components (Flip-Flops and Multiplexers) and cluster metrics is evaluated for technology nodes starting from 20 nm down to 7 nm. Power consumption, delay and energy (Power Delay Product, or PDP) trends are reported with FinFET technology scaling. Cluster metrics are then evaluated based on three benchmarking circuits: 2-bit adder, 4-bit NAND and cascaded flip-flops chain. The study shows that power, delay and PDP of the FPGA cluster are improved as we scale down the technology. An example for improvement is that for 7 nm 2-bit adder, circuit speed is 15% higher than its value at 20 nm and PDP at 7 nm is reduced by 43% compared to its value at 20 nm. The impacts of temperature and threshold voltage variations on FPGA cluster performance are also reported after evaluating a 2-bit adder circuit as a benchmark which is then used to calculate the design constraints to meet 99.9% yield percentage.

Original languageEnglish
Article number1850056
JournalJournal of Circuits, Systems and Computers
Volume27
Issue number4
DOIs
StatePublished - 2018
Externally publishedYes

Keywords

  • Cluster
  • FPGA
  • Flip-flop
  • Nano-scale FinFET
  • Predictive technology models
  • Technology scaling
  • Temperature variation
  • Threshold voltage variation

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