2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)
Latest Publications

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Published By IEEE

9781728157580

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Machine Learning Framework for Multi-Objective Design Space Exploration and Optimization of Manycore Systems

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142057 ◽

2019 ◽

Author(s):

Biresh Kumar Joardar ◽

Aryan Deshwal ◽

Janardhan Rao Doppa ◽

Partha Pratim Pande

Keyword(s):

Machine Learning ◽

Design Space Exploration ◽

Design Space ◽

Space Exploration ◽

Multi Objective ◽

Learning Framework

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A Reinforcement Learning-Based Framework for Solving Physical Design Routing Problem in the Absence of Large Test Sets

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142109 ◽

2019 ◽

Author(s):

Upma Gandhi ◽

Ismail Bustany ◽

William Swartz ◽

Laleh Behjat

Keyword(s):

Reinforcement Learning ◽

Physical Design ◽

Routing Problem ◽

Test Sets

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Adaptive FPGA Placement Optimization via Reinforcement Learning

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142079 ◽

2019 ◽

Author(s):

Kevin E. Murray ◽

Vaughn Betz

Keyword(s):

Reinforcement Learning ◽

Placement Optimization ◽

Fpga Placement

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Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142052 ◽

2019 ◽

Author(s):

Lei Xun ◽

Long Tran-Thanh ◽

Bashir M Al-Hashimi ◽

Geoff V. Merrett

Keyword(s):

Performance Scaling ◽

Incremental Training ◽

Embedded Platforms

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Evolving On-Chip Power Delivery through Particle Swarm Optimization

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142080 ◽

2019 ◽

Author(s):

Divya Pathak ◽

Ioannis Savidis

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Power Delivery ◽

Swarm Optimization ◽

On Chip

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Congestion-aware Global Routing using Deep Convolutional Generative Adversarial Networks

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142082 ◽

2019 ◽

Author(s):

Zhonghua Zhou ◽

Ziran Zhu ◽

Jianli Chen ◽

Yuzhe Ma ◽

Bei Yu ◽

...

Keyword(s):

Generative Adversarial Networks ◽

Global Routing ◽

Adversarial Networks ◽

Congestion Aware

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Learning-Based CPU Power Modeling

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142100 ◽

2019 ◽

Author(s):

Ajay Krishna Ananda Kumar ◽

Andreas Gerstlauer

Keyword(s):

Power Modeling

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Automatic Layout Generation with Applications in Machine Learning Engine Evaluation

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142121 ◽

2019 ◽

Cited By ~ 1

Author(s):

Haoyu Yang ◽

Wen Chen ◽

Piyush Pathak ◽

Frank Gennari ◽

Ya-Chieh Lai ◽

...

Keyword(s):

Machine Learning ◽

Automatic Layout ◽

Layout Generation

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Combining Evolutionary Algorithms and Deep Learning for Hardware/Software Interface Optimization

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142090 ◽

2019 ◽

Author(s):

Lorenzo Servadei ◽

Edoardo Mosca ◽

Michael Werner ◽

Volkan Esen ◽

Robert Wille ◽

...

Keyword(s):

Deep Learning ◽

Evolutionary Algorithms ◽

Software Interface

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Run-Time Scenario-Based MPSoC Mapping Reconfiguration Using Machine Learning Models

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD) ◽

10.1109/mlcad48534.2019.9142060 ◽

2019 ◽

Author(s):

Jan Spieck ◽

Stefan Wildermann ◽

Jurgen Teich

Keyword(s):

Machine Learning ◽

Learning Models ◽

Run Time ◽

Machine Learning Models

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2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A Machine Learning Framework for Multi-Objective Design Space Exploration and Optimization of Manycore Systems

A Reinforcement Learning-Based Framework for Solving Physical Design Routing Problem in the Absence of Large Test Sets

Adaptive FPGA Placement Optimization via Reinforcement Learning

Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms

Evolving On-Chip Power Delivery through Particle Swarm Optimization

Congestion-aware Global Routing using Deep Convolutional Generative Adversarial Networks

Learning-Based CPU Power Modeling

Automatic Layout Generation with Applications in Machine Learning Engine Evaluation

Combining Evolutionary Algorithms and Deep Learning for Hardware/Software Interface Optimization

Run-Time Scenario-Based MPSoC Mapping Reconfiguration Using Machine Learning Models

2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)
Latest Publications