DOTTORATO DI RICERCA IN INGEGNERIA DELL'INFORMAZIONE

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J. L. Gustafson, M. Cococcioni, F. Rossi, E. Ruffaldi and S. Saponara "Decoding-free Two-Input Arithmetic for Low-Precision Real Numbers", CoNGA'23, accepted

F. Rossi, L. Fiaschi, M. Cococcioni, S. Saponara. Design and FPGA Synthesis of BAN Processing Unit for non-Archimedean Number Crunching

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)

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

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

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

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