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Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.

R. Andri, B. Bussolino, A. Cipolletta, L. Cavigelli, and Z. Wang. CoRR, (2022)

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Beatrice Adamopoulou

Beatrice Klein

Béatrice Lienemann

Beatrice Brunhöber

Beatrice Bornholz

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Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.R. Andri, B. Bussolino, A. Cipolletta, L. Cavigelli, and Z. Wang. CoRR, (2022)NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks.A. Marchisio, A. Massa, V. Mrazek, B. Bussolino, M. Martina, and M. Shafique. ICCAD, page 114:1-114:9. IEEE, (2020)FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks.A. Marchisio, B. Bussolino, A. Colucci, M. Hanif, M. Martina, G. Masera, and M. Shafique. IJCNN, page 1-8. IEEE, (2020)NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators.G. Aiello, B. Bussolino, E. Valpreda, M. Roch, G. Masera, M. Martina, and S. Marsi. ICIP, page 926-930. IEEE, (2022)Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations.A. Marchisio, B. Bussolino, E. Salvati, M. Martina, G. Masera, and M. Shafique. ISLPED, page 27:1-27:6. ACM, (2022)X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations.A. Marchisio, B. Bussolino, A. Colucci, M. Hanif, M. Martina, G. Masera, and M. Shafique. CoRR, (2019)Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles.R. Andri, B. Bussolino, A. Cipolletta, L. Cavigelli, and Z. Wang. MICRO, page 582-598. IEEE, (2022)11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge.P. Hager, B. Moons, S. Cosemans, I. Papistas, B. Rooseleer, J. Loon, R. Uytterhoeven, F. Zaruba, S. Koumousi, M. Stanisavljevic and 38 other author(s). ISSCC, page 212-214. IEEE, (2024)RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.A. Marchisio, V. Mrazek, A. Massa, B. Bussolino, M. Martina, and M. Shafique. CoRR, (2022)An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks.M. Capra, B. Bussolino, A. Marchisio, M. Shafique, G. Masera, and M. Martina. Future Internet, 12 (7): 113 (2020)

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Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.

Please choose a person to relate this publication to

Beatrice Adamopoulou

Beatrice Klein

Béatrice Lienemann

Beatrice Brunhöber

Beatrice Bornholz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bussolino, Beatrice"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.

Please choose a person to relate this publication to

Beatrice Adamopoulou

Beatrice Klein

Béatrice Lienemann

Beatrice Brunhöber

Beatrice Bornholz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
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APA
Chicago
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Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.