Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models

Author:

De Sayandip1ORCID,Shafique Muhammad2ORCID,Corporaal Henk1ORCID

Affiliation:

1. Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

2. Department of Electrical and Computer Engineering, New York University Abu Dhabi, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Reference39 articles.

1. Developing synthesis flows without human knowledge;yu;Proc DAC,2018

2. DRiLLS: Deep Reinforcement Learning for Logic Synthesis

3. Fast graph representation learning with PyTorch geometric;fey;Proc ICLR Workshop Represent Learn Graphs Manifolds,2019

4. Learn to Floorplan through Acquisition of Effective Local Search Heuristics

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1. LSTP: A Logic Synthesis Timing Predictor;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

2. Chip design with machine learning: a survey from algorithm perspective;Science China Information Sciences;2023-10-19

3. A Graph Neural Network Model for Fast and Accurate Quality of Result Estimation for High-Level Synthesis;IEEE Access;2023

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