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

• Main Authors: Herath, Kalindu, Prakash, Alok, Srikanthan, Thambipillai
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; FPGA; Floorplaning
• Online Access: https://hdl.handle.net/10356/139198
• Institution: Nanyang Technological University

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...