CellFlow: Automated Standard Cell Design Flow

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Prashanth:2023:ISVLSI,

• author = "H C Prashanth and Prashanth Jonna and Madhav Rao",
• booktitle = "2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)",
• title = "{CellFlow:} Automated Standard Cell Design Flow",
• year = "2023",
• abstract = "The existing flow for creating standard cell library is industry protected, with minimum options to tweak and improve the cell properties. Open-Source ASIC tools are constantly emerging. However, the existing flow does not offer any options for the realization of custom cells. Hence a novel and reliable custom standard cell library flow integrated with a robust optimisation scheme referred to as CellFlow is introduced to establish custom cell design. Cartesian genetic programming (CGP), an evolutionary algorithm, was employed to generate optimised and hardware efficient transistor level designs to incorporate in the standard cell flow. The CGP algorithm is configured to render the fewest count transistor custom standard cell designs, which are then characterised for hardware metrics, including power, delay, area, and layout. Further particle-swarm-optimisation (PSO) method was adopted to optimise the spice netlist evolved from the CGP synthesised transistor-level design. The CellFlow was employed to develop custom standard cells, including compressors, full-adders, multipliers, and multiplexers designs. The developed custom standard cell library was validated for 4$\times$ 4 Systolic array architecture and PICO-RV32 RISCV core design, showing expected synthesised results.",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Multiplexing, Microprocessors, Layout, Computer architecture, Libraries, Systolic arrays, Hardware, Standard Cell, Transistor Optimisation, Cell Characterisation",
• DOI = "doi:10.1109/ISVLSI59464.2023.10238584",
• ISSN = "2159-3477",
• month = jun,
• notes = "Also known as \cite{10238584}",

}

Genetic Programming entries for H C Prashanth Prashanth Jonna Madhav Rao

Citations