CircuitNet: an open-source dataset for machine learning applications in electronic design automation (EDA)
نویسندگان
چکیده
The electronic design automation (EDA) community has been actively exploring machine learning (ML) for very large-scale integrated computer-aided (VLSI CAD). Many studies explored learning-based techniques cross-stage prediction tasks in the flow to achieve faster convergence. Although building ML models usually requires a large amount of data, most can only generate small internal datasets validation because lack public datasets. In this essay, we present first open-source dataset called CircuitNet VLSI CAD.
منابع مشابه
development and implementation of an optimized control strategy for induction machine in an electric vehicle
in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...
15 صفحه اولActive Learning in an Electronic Design Automation Course
This paper summarizes the rationale behind revision of an electronic design automation course and the resulting learning objectives and course model. Early experiences are highlighted.
متن کاملJubatus: An Open Source Platform for Distributed Online Machine Learning
Distributed computing is essential for handling very large datasets. Online learning is also promising for learning from rapid data streams. However, it is still an unresolved problem how to combine them for scalable learning and prediction on big data streams. We propose a general computational framework called loose model sharing for online and distributed machine learning. The key is to shar...
متن کاملDataset cataloging metadata for machine learning applications and research
As the field of machine learning (ML) matures, two types of data archives are developing: collections of benchmark data sets used to test the performance of new algorithms, and data stores to which machine learning/data mining algorithms are applied to create scientific or commercial applications. At present, the catalogs of these archives are ad hoc and not tailored to machine learning analysi...
متن کاملGPUMLib: An Efficient Open-Source GPU Machine Learning Library
Graphics Processing Units (GPUs) placed at our disposal an unprecedented computational-power, largely surpassing the performance of cutting-edge CPUs (Central Processing Units). The high-parallelism inherent to the GPU makes this device especially well-suited to address Machine Learning (ML) problems with prohibitively computational intensive tasks. Nevertheless, few ML algorithms have been imp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2022
ISSN: ['1869-1919', '1674-733X']
DOI: https://doi.org/10.1007/s11432-022-3571-8