Towards machine learning-based fpga backend flow: Challenges and opportunities
I Taj, U Farooq - Electronics, 2023 - mdpi.com
Field-Programmable Gate Array (FPGA) is at the core of System on Chip (SoC) design
across various Industry 5.0 digital systems—healthcare devices, farming equipment …
across various Industry 5.0 digital systems—healthcare devices, farming equipment …
Machine learning for agile fpga design
Field-programmable gate arrays (FPGAs) have become popular means of hardware
acceleration since they offer massive parallelism, flexible configurability, and potentially …
acceleration since they offer massive parallelism, flexible configurability, and potentially …
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization
This paper discloses a Reinforcement Learning (RL) solution implemented to decrease the
peak current by alteration of the clock skews. Clock skews are elements of the clock network …
peak current by alteration of the clock skews. Clock skews are elements of the clock network …
Efficient Detailed Routing for FPGA Back-End Flow Using Reinforcement Learning
Over the past few years, the computation capability of field-programmable gate arrays
(FPGAs) has increased tremendously. This has led to the increase in the complexity of the …
(FPGAs) has increased tremendously. This has led to the increase in the complexity of the …
Application of Machine Learning in FPGA EDA Tool Development
With the recent advances in hardware technologies like advanced CPUs and GPUs and the
large availability of open-source libraries, machine learning has penetrated various …
large availability of open-source libraries, machine learning has penetrated various …
Machine learning for FPGA electronic design automation
In the last decades, field-programmable gate arrays (FPGAs) have become increasingly
important to the electronics industry, offering higher performance and lower power …
important to the electronics industry, offering higher performance and lower power …
[HTML][HTML] A survey on FPGA electronic design automation technology based on machine learning
With the advent of the post-Moore era, Field Programmable Gate Array (FPGA) is widely
used in various fields such as Internet of Things (IoTs), 5G communication, aerospace …
used in various fields such as Internet of Things (IoTs), 5G communication, aerospace …
The acceleration techniques for the modified pathfinder routing algorithm on an island-style FPGA
The paper presents two techniques to speed up routing of user circuits within an island-style
FPGA design flow. The basic algorithm is the modified Pathfinder that supports a mixed …
FPGA design flow. The basic algorithm is the modified Pathfinder that supports a mixed …
[HTML][HTML] 基于机器学**的 FPGA 电子设计自动化技术研究综述
田春生, 陈雷, 王源, 王硕, 周婧, 庞永江, 杜忠 - 电子与信息学报, 2023 - jeit.ac.cn
随着后摩尔时代的来临, 现场可编程门阵列(FPGA) 凭借其灵活的重复可编程特性,
开发成本低的特点, 现已被广泛应用于物联网(IoTs), 5G 通信, 航空航天以及武器装备等各个领域 …
开发成本低的特点, 现已被广泛应用于物联网(IoTs), 5G 通信, 航空航天以及武器装备等各个领域 …
Enhancing FPGA CAD Flow with AI-Powered Solutions
FPGA, short for Field-Programmable Gate Array, is a type of integrated circuit that can be
programmed and configured by users or designers after manufacturing. Due to its …
programmed and configured by users or designers after manufacturing. Due to its …