Machine learning for electronic design automation: A survey
With the down-scaling of CMOS technology, the design complexity of very large-scale
integrated is increasing. Although the application of machine learning (ML) techniques in …
integrated is increasing. Although the application of machine learning (ML) techniques in …
MLCAD: A survey of research in machine learning for CAD keynote paper
Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
A survey of machine learning for computer architecture and systems
It has been a long time that computer architecture and systems are optimized for efficient
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …
IronMan-Pro: Multiobjective design space exploration in HLS via reinforcement learning and graph neural network-based modeling
Despite the great success of high-level synthesis (HLS) tools, we observe several
unresolved challenges: 1) the high-level abstraction of HLS programming styles sometimes …
unresolved challenges: 1) the high-level abstraction of HLS programming styles sometimes …
A survey of graph neural networks for electronic design automation
Driven by Moore's law, the chip design complexity is steadily increasing. Electronic Design
Automation (EDA) has been able to cope with the challenging very large-scale integration …
Automation (EDA) has been able to cope with the challenging very large-scale integration …
Towards a comprehensive benchmark for high-level synthesis targeted to FPGAs
High-level synthesis (HLS) aims to raise the abstraction layer in hardware design, enabling
the design of domain-specific accelerators (DSAs) like field-programmable gate arrays …
the design of domain-specific accelerators (DSAs) like field-programmable gate arrays …
Programming and synthesis for software-defined FPGA acceleration: status and future prospects
FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …
because they offer massive parallelism, high energy efficiency, and great flexibility for …
High-level synthesis performance prediction using gnns: Benchmarking, modeling, and advancing
Agile hardware development requires fast and accurate circuit quality evaluation from early
design stages. Existing work of high-level synthesis (HLS) performance prediction usually …
design stages. Existing work of high-level synthesis (HLS) performance prediction usually …
A comprehensive survey on electronic design automation and graph neural networks: Theory and applications
Driven by Moore's law, the chip design complexity is steadily increasing. Electronic Design
Automation (EDA) has been able to cope with the challenging very large-scale integration …
Automation (EDA) has been able to cope with the challenging very large-scale integration …
High-level synthesis hardware design for fpga-based accelerators: Models, methodologies, and frameworks
Hardware accelerators based on field programmable gate array (FPGA) and system on chip
(SoC) devices have gained attention in recent years. One of the main reasons is that these …
(SoC) devices have gained attention in recent years. One of the main reasons is that these …