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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. Transactions on Emerging Topics in Computing, accepted

M. Cococcioni, F. Rossi, E. Ruffaldi and S. Saponara. Experimental Results of Vectorized Posit-based DNNs on a Real ARM SVE High Performance Computing Machine. ApplePies 2021, accepted

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

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"

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.

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

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

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

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.

M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "Novel arithmetics to accelerate machine learning classifiers in autonomous driving applications", 26th IEEE International Conference on Electronics Circuits and Systems(ICECS’19), 2019.

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