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Machine Learning aided Computer Architecture Design for CNN Inferencing Systems. (arXiv:2308.05364v1 [cs.AR])
cs.LG updates on arXiv.org arxiv.org
Efficient and timely calculations of Machine Learning (ML) algorithms are
essential for emerging technologies like autonomous driving, the Internet of
Things (IoT), and edge computing. One of the primary ML algorithms used in such
systems is Convolutional Neural Networks (CNNs), which demand high
computational resources. This requirement has led to the use of ML accelerators
like GPGPUs to meet design constraints. However, selecting the most suitable
accelerator involves Design Space Exploration (DSE), a process that is usually
time-consuming and requires …
algorithms architecture arxiv autonomous autonomous driving cnn cnns computational computer computer architecture computing convolutional neural networks demand design driving edge edge computing inferencing internet internet of things iot machine machine learning ml algorithms networks neural networks resources systems technologies