SCNN: An accelerator for compressed-sparse convolutional neural networks
Convolutional Neural Networks (CNNs) have emerged as a fundamental technology for
machine learning. High performance and extreme energy efficiency are critical for …
machine learning. High performance and extreme energy efficiency are critical for …
[PDF][PDF] SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - 2017 - cs.utexas.edu
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as a fundamental
technology for machine learning. High performance and extreme energy efficiency are …
technology for machine learning. High performance and extreme energy efficiency are …
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - arXiv preprint arXiv …, 2017 - arxiv.org
Convolutional Neural Networks (CNNs) have emerged as a fundamental technology for
machine learning. High performance and extreme energy efficiency are critical for …
machine learning. High performance and extreme energy efficiency are critical for …
[PDF][PDF] SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu - pdfs.semanticscholar.org
Convolutional Neural Networks Page 1 Angshuman Parashar, Minsoo Rhu*, Anurag
Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen …
Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen …
[PDF][PDF] SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - 2017 - research.nvidia.com
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as a fundamental
technology for machine learning. High performance and extreme energy efficiency are …
technology for machine learning. High performance and extreme energy efficiency are …
[PDF][PDF] SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - 2017 - people.csail.mit.edu
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as a fundamental
technology for machine learning. High performance and extreme energy efficiency are …
technology for machine learning. High performance and extreme energy efficiency are …
SCNN
A Parashar, M Rhu, A Mukkara, A Puglielli… - ACM SIGARCH …, 2017 - cir.nii.ac.jp
抄録< jats: p> Convolutional Neural Networks (CNNs) have emerged as a fundamental
technology for machine learning. High performance and extreme energy efficiency are …
technology for machine learning. High performance and extreme energy efficiency are …
SCNN: An accelerator for compressed-sparse convolutional neural networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - 44th Annual …, 2017 - pure.kaist.ac.kr
Abstract Convolutional Neural Networks (CNNs) have emerged as a fundamental
technology for machine learning. High performance and extreme energy effciency are …
technology for machine learning. High performance and extreme energy effciency are …
SCNN: An accelerator for compressed-sparse convolutional neural networks
A Parashar, M Rhu, A Mukkara… - 2017 ACM/IEEE 44th …, 2017 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have emerged as a fundamental technology for
machine learning. High performance and extreme energy efficiency are critical for …
machine learning. High performance and extreme energy efficiency are critical for …
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
A Parashar, M Rhu, A Mukkara, A Puglielli… - Proceedings of the 44th …, 2017 - dl.acm.org
Convolutional Neural Networks (CNNs) have emerged as a fundamental technology for
machine learning. High performance and extreme energy efficiency are critical for …
machine learning. High performance and extreme energy efficiency are critical for …