Performance estimation of FPGA modules for modular design methodology using artificial neural network

Modern FPGAs consist of millions of logic resources allowing hardware designers to map increasingly large designs. However, the design productivity of mapping large designs is greatly affected by the long runtime of FPGA CAD flow. To mitigate it, modular design methodology has been introduced in the...

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Bibliographic Details
Main Authors: Herath, Kalindu, Prakash, Alok, Srikanthan, Thambipillai
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139198