Papers matching “neural network accelerators” 68
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The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation2021 IEEE Transactions on Geoscience and Remote Sensing article Computer Science Advanced Neural Network Applications Open access
Gianluca Giuffrida, Luca Fanucci, Gabriele Meoni, Matej Batič, Léonie Buckley, Aubrey K. Dunne, +6 more
223citations -
A Digital Twin Network for Computational Neuroscience Simulators: Exploring Network Architectures for Acceleration of Biological Neural Network Simulations2citations
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ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?2023 ACM Transactions on Reconfigurable Technology and Systems article Computer Science Embedded Systems Design Techniques Open access
Anouar Nechi, Lukas Groth, Saleh Mulhem, Farhad Merchant, Rainer Buchty, Mladen Bereković
73citations -
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more
12citations -
Design Principles for Lifelong Learning AI Accelerators2023 RWTH Publications (RWTH Aachen) article Computer Science Advanced Neural Network Applications Open access
Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Ángel Yanguas-Gil, +6 more
1citations -
An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access2023 IFIP/IEEE International Conference on Very Large Scale Integration conference-paper Computer Science Advanced Neural Network Applications
Yi Chen, Jie Lou, Christian Lanius, Florian Freye, Johnson Loh, Tobias Gemmeke
7citations