EMANUELE VALPREDA

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PhD Student
Adjunct Professor

Most recent publications

Rohit Vemparala, Manoj; Fasfous, Nael; Frickenstein, Alexander; Valpreda, Emanuele; ... (2022)
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. In: LEIBNIZ TRANSACTIONS ON EMBEDDED SYSTEMS, vol. 8, pp. 1-30. ISSN 2199-2002
Valpreda, Emanuele; Mori, Pierpaolo; Fasfous, Nael; Vemparala, Manoj Rohit; ... (2022)
HW-Flow-Fusion: Inter-Layer Scheduling for Convolutional Neural Network Accelerators with Dataflow Architectures. In: ELECTRONICS, vol. 11. ISSN 2079-9292
Aiello, Giuseppe; Bussolino, Beatrice; Valpreda, Emanuele; Ruo Roch, Massimo; Masera, ... (2022)
NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators. In: International Conference on Image Processing, Bordeaux, 16-19 Ottobre 2022
Fasfous, Nael; Frickenstein, Lukas; Neumeier, Michael; Vemparala, Manoj Rohit; ... (2022)
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022, pp. 706-711. ISSN 1530-1591. ISBN: 978-3-9819263-6-1
Fasfous, Nael; Vemparala, Manoj Rohit; Frickenstein, Alexander; Valpreda, Emanuele; ... (2022)
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022, pp. 238-243. ISSN 1558-1101. ISBN: 978-3-9819263-6-1
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