Graduation_Project_findings

Revision materials (if needed)

Digital IC Design

DR. hesham_1

DR. hesham_2

DR. hesham_3

Digital VLSI Design RTL to GDS Adam teman

Digital ASIC Design with Verilog - Full CoursePaul franzon

Asic Dr karem

RTL-to-GDSII flow - (Hands-on withEDA Tool)

Digital Electronics and Logic Design Tutorials

VLSI Physical Design NPTE

Projects

getting-started-with-verilog

Verilog code for 16-bit singlecycle MIPS processor

8bit_MicroComputer_Verilog-master

Detection using Convolutional Neural Network

image1

Introduction of using Machine Learining in EDA

MathWorks-Machine Learning for Electronic Design Automation, 2018

Dr.Eman scholar Page

Dr.Eman related papers . Applications of ML in post silicon verification

. Automatic Generation ofFunctional Coverage Models

. Automatic GenerationofHardwareDesignPropertiesfrom Simulation Traces

. Construction of Coverage Data for PostSilicon Validation Using BigDataTechniques

. Estimation of Formal Verification Cost Using Regression Machine Learning

. Intelligent testbench Automation

. Cross-Product Functional Coverage Analysis Using Machine Learning Clustering Techniques

ML for physical verification paper, 2017

Survay

A Hybrid Framework for Functional Verification using RL & DL paper, 2019

Using Machine Learning Techniques for Logic Design Verification paper, 2019

Foster2003_Chapter_FunctionalCoverage book

Machine Learning and Systems for Building the Next Generation of EDA tools, 2018

Optimizing Design Verification using Machine Learning: Doing better than Random, 2019

Path_based_analysis using Mapreduce

Machine_learning_in_VLSI, 2020

FPGA_Placement_ML, 2018

Enhancing_the_Performance of FPGA Congestion_Management via Supervised Learning, 2019

Adaptive FPGA Placement Optimization via Reinforcement Learning, 2019

Opportunities of ML in Hardware verification, 2019

Failure Root Cause Analysis Automation on Functional Simulation Regressions, 2019

Support vector machine coverage driven verification for communication cores, old

Functional Test Selection Based on Unsupervised Support Vector Analysis, old

NLP_IN_EDA, 2020 (nothing interesting)

CAEML Research papers