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Predicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning
[article]
2022
arXiv
pre-print
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The use of CAD tools that express designs at higher levels of abstraction makes machine learning even more important to highlight the performance of various design steps. ...
Machine learning (ML) has been widely used to improve the predictability of EDA tools. ...
[4] created a regression based machine learning model to estimate accurate post-route resource and timing of a design using features extracted from the post-synthesis log files. ...
arXiv:2205.12397v1
fatcat:klba5uvkpvhovbzx5pf72jrk5y
Survey of Machine Learning for Electronic Design Automation
2022
Proceedings of the Great Lakes Symposium on VLSI 2022
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An increase in demand for semiconductor ICs, recent advancements in machine learning, and the slowing down of Moore's law have all contributed to the increased interest in using Machine Learning (ML) to ...
This paper provides a comprehensive survey of available EDA and CAD tools, methods, processes, and techniques for Integrated Circuits (ICs) that use machine learning algorithms. ...
ACKNOWLEDGMENT This work was supported in part by the National Science Foundation through Computing Research Association for CIFellows #2030859. ...
doi:10.1145/3526241.3530834
fatcat:zixyjpof45b25kvlootimwrusu
A Survey of Machine Learning for Computer Architecture and Systems
[article]
2021
arXiv
pre-print
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2021 accepted doi:10.1145/3494523 arXiv:2102.07952v2 fatcat:xevdv2ta2vapfop6k6cfbuihny
It has been a long time that computer architecture and systems are optimized to enable efficient execution of machine learning (ML) algorithms or models. ...
Now, it is time to reconsider the relationship between ML and systems, and let ML transform the way that computer architecture and systems are designed. ...
A recent innovation [13] pays attention to the placement of virtual machines onto physical machines, so as to minimize the peak-to-average ratio of resource usage across physical machines, where PPO ...
arXiv:2102.07952v1
fatcat:vzj776a6abesljetqobakoc3dq
Pushing the Level of Abstraction of Digital System Design: a Survey on How to Program FPGAs
2022
ACM Computing Surveys
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Here, we survey three leading digital design abstractions: Hardware Description Languages (HDLs), High-Level Synthesis (HLS) tools, and Domain-Specific Languages (DSLs). ...
They are state-of-the-art for prototyping, telecommunications, embedded, and an emerging alternative for cloud-scale acceleration. ...
ACKNOWLEDGEMENTS The authors are grateful for feedbacks from Reviewers and NECSTLab members, with a particular mention to A. Damiani, A. Parravicini, E. D'Arnese, F. Carloni, F. Peverelli, and R. ...
doi:10.1145/3532989
fatcat:nsk5lwvt3vba5fbxmaj7sgpwru
A Cyber Physical Interface for Automation Systems—Methodology and Examples
2015
Machines
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This study discusses a modeling methodology for a cyber physical interface and presents the five levels of information for a cyber physical system, that range from the data connection level to the system ...
In order to achieve this awareness and health state of the machine and system, a technical approach that uses adaptive health monitoring algorithms is presented. ...
This research is also supported by the collaboration between the IMS and HIWIN Co. in Taiwan. The ball screws and test design are supported by HIWIN Co. ...
doi:10.3390/machines3020093
fatcat:kj7bbb5hqzghrcwo4whsd7rqce
Review of Stereo Matching Algorithms Based on Deep Learning
2020
Computational Intelligence and Neuroscience
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The speed, accuracy, and time consumption were adopted to compare the different algorithms. ...
We have provided a comprehensive coverage of the remarkable approaches in each category and summarized the strengths, weaknesses, and major challenges, respectively. ...
37] involves an unsupervised framework to address the problem of novel view synthesis. ...
doi:10.1155/2020/8562323
pmid:32273887
pmcid:PMC7125450
fatcat:ijeglgqctzfedefjitkapcj5be
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
[article]
2019
arXiv
pre-print
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Our key innovation is an instance-level supervision that allows information to be learned from the high-resolution version of similar objects. ...
objects to guide the system towards the instance-level refinement corrects details of object shape and boundaries. ...
We propose a lightweight video synthesis framework that takes advantage of a newly proposed instance-level adversarial training. ...
arXiv:1812.01210v2
fatcat:aq5yw6io2zgkdnwjhqtfe4agge
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
[article]
2022
arXiv
pre-print
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Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly used in several fields to improve performance and the level of automation. ...
In recent years, this use has exponentially increased due to the advancement of high-performance computing and the ever increasing size of data. ...
Makrani et al. [165] proposed a Pyramid framework to estimate best performance and resource usage. ...
arXiv:2204.09579v2
fatcat:tebjzerhfvaepbwmka7ipiccxy
Fused-layer CNN accelerators
2016
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
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Deep convolutional neural networks (CNNs) are rapidly becoming the dominant approach to computer vision and a major component of many other pervasive machine learning tasks, such as speech recognition, ...
We demonstrate the effectiveness of our approach by constructing a fused-layer CNN accelerator for the first five convolutional layers of the VGGNet-E network and comparing it to the state-of-the-art accelerator ...
Lastly, we describe and provide pseudo-code for a high-level synthesis template for implementing our design. The rest of this paper is organized as follows. ...
doi:10.1109/micro.2016.7783725
dblp:conf/micro/AlwaniCFM16
fatcat:pbvcegdgczathpewo4mqr6vdbq
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2004.08566v1 fatcat:hnoaq6ov5zgd7kye6t5g2534iy
Throughout the years the paradigm has shifted from local, pixel-level decision to various forms of discrete and continuous optimization to data-driven, learning-based methods. ...
Recently, the rise of machine learning and the rapid proliferation of deep learning enhanced stereo matching with new exciting trends and applications unthinkable until a few years ago. ...
to the previous level of the pyramid. ...
arXiv:2004.08566v2
fatcat:wcwfgzibo5evbkun3atpsz6kwm
Crop Management with the IoT: An Interdisciplinary Survey
2021
Agronomy
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Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. ...
From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/agronomy11010181
fatcat:hklrmi3aovccvgfell6r4bfkcm
National Conference on Recent Advances in Communication Engineering and Information Technology
2020
International journal for innovative engineering and management research
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We invest much effort to enhance our student's learning experience through the application of ECE technology. ...
We provide a broad-based engineering curriculum, with opportunities for specialization and self-directed learning and development. ...
It has observed that as learning rate are high in machine learning then accuracy of system goes high but increases the area and cost overhead. ...
doi:10.48047/ijiemr/v08/spe/02
fatcat:woay334irjgebf5bixuc4ng6em
HIPAcc: A Domain-Specific Language and Compiler for Image Processing
2016
IEEE Transactions on Parallel and Distributed Systems
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However, most frameworks do not make use of this knowledge and the performance cannot reach that of optimized library implementations. ...
Domain-Specific Languages (DSLs) provide high-level and domain-specific abstractions that allow expressive and concise algorithm descriptions. ...
ACKNOWLEDGMENTS This work is supported by the German Research Foundation (DFG), as part of the Research Training Group 1773 "Heterogeneous Image Systems". ...
doi:10.1109/tpds.2015.2394802
fatcat:b554uya6trhpngpkcuadmcp3fu
Towards Automatic High-Level Code Deployment on Reconfigurable Platforms: A Survey of High-Level Synthesis Tools and Toolchains
2020
IEEE Access
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We undertake an extensive survey of high-level synthesis tools to determine how close we are to this vision, and to identify any capability gaps. ...
The survey is structured according to a new framework that clearly expresses the relationships between the many tools surveyed. ...
Pyramid, a machine learning framework, that is claimed to evaluate the performance and FPGA resource utilisation of an HLS design more precisely. ...
doi:10.1109/access.2020.3024098
fatcat:hk7s2deq6zgp5fnuwvm5k6jodu
Data acquisition and control at the edge: a hardware/software-reconfigurable approach
2020
Production Engineering
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As a case study, a metal forming process is considered and the design automation of an industrial closed-loop control algorithm with the design objectives performance and resource costs is investigated ...
To bridge this gap, a model-based design automation approach is presented to generate automatically optimized HW/SW configurations for a given PSoC. ...
To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/. ...
doi:10.1007/s11740-020-00964-x
fatcat:pbqmbsswnfh7ff5d5yurgpoyym
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