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M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Small reals representations for Deep Learning at the edge: a comparison", Conference on Next Generation Arithmetic (CoNGA'22)
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M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine", ApplePies 2021
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M. Cococcioni, F. Rossi, E. Ruffaldi and S. Saponara. A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications. IEEE Transactions on Emerging Topics in Computing, 2021
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M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "Faster deep neural network image processing by using vectorized posit operations on a RISC-V processor", SPIE Defense and Commercial Sensing 2021
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M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "Vectorizing Posit Operations on RISC-V for faster Deep Neural Networks: Experiments and Comparison with ARM SVE"
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M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks", 6th IEEE International Conference on Smart Computing (SMARTCOMP2020), 2020.
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Marco Cococcioni; Federico Rossi; Emanuele Ruffaldi; Sergio Saponara. "Fast Deep Neural Networks for Image Processing using Posits and ARM Scalable Vector Extension", Journal of Real-Time Image Processing 2020
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Marco Cococcioni; Federico Rossi; Emanuele Ruffaldi; Sergio Saponara; Benoit Dupont de Dinechin. "Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities.", IEEE Signal Processing Magazine 2020
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Cococcioni, M.; Rossi, F.; Ruffaldi, E.; Saponara, S. Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic. Sensors 2020, 20, 1515
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M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "A fast approximation of the hyperbolic tangent when using posit numbers and its application to deep neural networks", (ApplePies’19), 2019.
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