Publications

Journals


  1. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic
    Sensors, vol. 20(5), 2020
  2. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Fast deep neural networks for image processing using posits and ARM scalable vector extension
    Journal of Real-Time Image Processing, vol. 17(3), pp. 759-771, 2020
  3. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio; Dupont de Dinechin, Benoit
    Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities
    IEEE Signal Processing Magazine, vol. 38(1), pp. 97-110, 2021
  4. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE
    Neural Computing and Applications, vol. 33(16), pp. 10575-10585, 2021
  5. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications
    IEEE Transactions on Emerging Topics in Computing, vol. (), pp. 1-1, 2021

Conferences


  1. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    A Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural Networks
    In Applications in Electronics Pervading Industry, Environment and Society, pp. 213–221, 2020
  2. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications
    In 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 779-782, 2019
  3. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks
    In 2020 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 244-246, 2020
  4. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Faster deep neural network image processing by using vectorized posit operations on a RISC-V processor
    In Real-Time Image Processing and Deep Learning 2021, pp. 1173604, 2021
  5. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Small Reals Representations for Deep Learning at the Edge: A Comparison
    In Next Generation Arithmetic, pp. 117–133, 2022
  6. Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine
    In Applications in Electronics Pervading Industry, Environment and Society, pp. 61–68, 2022
  7. Rossi, Federico; Fiaschi, Lorenzo; Cococcioni, Marco; Saponara, Sergio
    Design and FPGA Synthesis of BAN Processing Unit for non-Archimedean Number Crunching
    In Applications in Electronics Pervading Industry, Environment and Society, 2023
  8. Gustafson, John L.; Cococcioni, Marco; Rossi, Federico; Ruffaldi, Emanuele; Saponara, Sergio
    Decoding-free Two-Input Arithmetic for Low-Precision Real Numbers
    In Next Generation Arithmetic, 2023
  9. Neves, Nuno; Crespo, Luis; Rossi, Federico; Cococcioni, Marco; Saponara, Sergio; Kuehn, Martin; Krueger, Jens; Tomas, Pedro; Roma, Nuno
    An FPGA-based platform to evaluate Posit arithmetic in next-generation processors
    In ISC High Performance (Poster), 2023
  10. Piccoli, Michele; Zoni, Davide; Fornaciari, William; Massari, Gisueppe; Cococcioni, Marco; Rossi, Federico; Saponara, Sergio; Ruffaldi, Emanuele
    Dynamic Power Consumption of the Full Posit Processing Unit: Analysis and Experiments
    In 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2023), pp. 6:1–6:11, 2023

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