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Predicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning [article]

Pingakshya Goswami, Dinesh Bhatia
2022 arXiv   pre-print
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

Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler Sheaves, Soheil Salehi, Sai Manoj PD, Setareh Rafatirad, Avesta Sasan, Houman Homayoun
2022 Proceedings of the Great Lakes Symposium on VLSI 2022  
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]

Nan Wu, Yuan Xie
2021 arXiv   pre-print
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

Emanuele Del Sozzo, Davide Conficconi, Alberto Zeni, Mirko Salaris, Donatella Sciuto, Marco D. Santambrogio
2022 ACM Computing Surveys  
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

Hung-An Kao, Wenjing Jin, David Siegel, Jay Lee
2015 Machines  
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

Kun Zhou, Xiangxi Meng, Bo Cheng
2020 Computational Intelligence and Neuroscience  
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]

Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi
2019 arXiv   pre-print
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]

David Selasi Koblah, Rabin Yu Acharya, Daniel Capecci, Olivia P. Dizon-Paradis, Shahin Tajik, Fatemeh Ganji, Damon L. Woodard, Domenic Forte
2022 arXiv   pre-print
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

Manoj Alwani, Han Chen, Michael Ferdman, Peter Milder
2016 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)  
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]

Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
2021 arXiv   pre-print
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

Giuliano Vitali, Matteo Francia, Matteo Golfarelli, Maurizio Canavari
2021 Agronomy  
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  
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

Richard Membarth, Oliver Reiche, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert
2016 IEEE Transactions on Parallel and Distributed Systems  
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

Mostafa W. Numan, Braden J. Phillips, Gavin S. Puddy, Katrina Falkner
2020 IEEE Access  
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

F. Streit, S. Wituschek, M. Pschyklenk, A. Becher, M. Lechner, S. Wildermann, I. Pitz, M. Merklein, J. Teich
2020 Production Engineering  
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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