Embedded Operating System Optimization through Floating to Fixed Point Compiler Transformation. - Daniele Cattaneo 002; Antonio Di Bello; Stefano Cherubin; Federico Terraneo; Giovanni Agosta (DSD, 2018)

Fixed point exploitation via compiler analyses and transformations: POSTER. - Daniele Cattaneo 002; Antonio Di Bello; Michele Chiari; Stefano Cherubin; Giovanni Agosta (CF, 2019)

Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation. - Daniele Cattaneo 002; Michele Chiari; Stefano Cherubin; Antonio Di Bello; Giovanni Agosta (PARCO, 2019)

Automated Precision Tuning in Activity Classification Systems: A Case Study. - Nicola Fossati; Daniele Cattaneo 002; Michele Chiari; Stefano Cherubin; Giovanni Agosta (PARMA-DITAM@HiPEAC, 2020)

TAFFO: Tuning Assistant for Floating to Fixed Point Optimization. - Stefano Cherubin; Daniele Cattaneo 002; Michele Chiari; Antonio Di Bello; Giovanni Agosta (IEEE Embed. Syst. Lett., 2020)

Dynamic Precision Autotuning with TAFFO. - Stefano Cherubin; Daniele Cattaneo 002; Michele Chiari; Giovanni Agosta (ACM Trans. Archit. Code Optim., 2020)

Machine Learning Techniques for Urban Vehicle Localization. - Daniele Cattaneo 002 (2020)

Architecture-aware Precision Tuning with Multiple Number Representation Systems. - Daniele Cattaneo 002; Michele Chiari; Nicola Fossati; Stefano Cherubin; Giovanni Agosta (DAC, 2021)

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. - Giovanni Agosta; Daniele Cattaneo 002; William Fornaciari; Andrea Galimberti; Giuseppe Massari; Federico Reghenzani; Federico Terraneo; Davide Zoni; Carlo Brandolese; Massimo Celino; Francesco Iannone; Paolo Palazzari; et al. (DSD, 2021)

The Impact of Precision Tuning on Embedded Systems Performance: A Case Study on Field-Oriented Control. - Gabriele Magnani; Daniele Cattaneo 002; Michele Chiari; Giovanni Agosta (PARMA-DITAM@HiPEAC, 2021)

FixM: Code generation of fixed point mathematical functions. - Daniele Cattaneo 002; Michele Chiari; Gabriele Magnani; Nicola Fossati; Stefano Cherubin; Giovanni Agosta (Sustain. Comput. Informatics Syst., 2021)

Ahead-Of-Real-Time (ART): A Methodology for Static Reduction of Worst-Case Execution Time. - Daniele Cattaneo 002; Gabriele Magnani; Stefano Cherubin; Giovanni Agosta (NG-RES@HiPEAC, 2022)

Precision Tuning in Parallel Applications. - Gabriele Magnani; Lev Denisov; Daniele Cattaneo 002; Giovanni Agosta (PARMA-DITAM@HiPEAC, 2022)

Efficient Memory Management for Modelica Simulations. - Michele Scuttari; Nicola Camillucci; Daniele Cattaneo 002; Federico Terraneo; Giovanni Agosta (PARMA-DITAM@HiPEAC, 2022)

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. - Giovanni Agosta; Marco Aldinucci; Carlos Álvarez 001; Roberto Ammendola; Yasir Arfat; Olivier Beaumont; Massimo Bernaschi; Andrea Biagioni; Tommaso Boccali; Bérenger Bramas; Carlo Brandolese; Barbara Cantalupo; et al. (Microprocess. Microsystems, 2022)

TAFFO: The compiler-based precision tuner. - Daniele Cattaneo 002; Michele Chiari; Giovanni Agosta; Stefano Cherubin (SoftwareX, 2022)

Clever DAE: Compiler Optimizations for Digital Twins at Scale. - Michele Scuttari; Nicola Camillucci; Daniele Cattaneo 002; Giovanni Agosta; Francesco Casella; Stefano Cherubin; Federico Terraneo (CF, 2023)

Hardware and Software Support for Mixed Precision Computing: a Roadmap for Embedded and HPC Systems. - William Fornaciari; Giovanni Agosta; Daniele Cattaneo 002; Lev Denisov; Andrea Galimberti; Gabriele Magnani; Davide Zoni (DATE, 2023)

Mixed Precision in Heterogeneous Parallel Computing Platforms via Delayed Code Analysis. - Daniele Cattaneo 002; Alberto Maggioli; Gabriele Magnani; Lev Denisov; Shufan Yang; Giovanni Agosta; Stefano Cherubin (SAMOS, 2023)

Array-Aware Matching: Taming the Complexity of Large-Scale Simulation Models. - Massimo Fioravanti; Daniele Cattaneo 002; Federico Terraneo; Silvano Seva; Stefano Cherubin; Giovanni Agosta; Francesco Casella; Alberto Leva (ACM Trans. Math. Softw., 2023)

SeTHet - Sending Tuned numbers over DMA onto Heterogeneous clusters: an automated precision tuning story. - Gabriele Magnani; Daniele Cattaneo 002; Lev Denisov; Giuseppe Tagliavini; Giovanni Agosta; Stefano Cherubin (CF, 2024)

The TEXTAROSSA Project: Cool all the Way Down to the Hardware. - Antonio Filgueras; Giovanni Agosta; Marco Aldinucci; Carlos Álvarez 001; Pasqua D'Ambra; Massimo Bernaschi; Andrea Biagioni; Daniele Cattaneo 002; Alessandro Celestini; Massimo Celino; Carlotta Chiarini; Francesca Lo Cicero; et al. (DSD, 2024)

Precision Tuning the Rust Memory-Safe Programming Language. - Gabriele Magnani; Lev Denisov; Daniele Cattaneo 002; Giovanni Agosta; Stefano Cherubin (PARMA-DITAM, 2024)

Profiling vs Static Analysis: The Impact on Precision Tuning. - Lev Denisov; Gabriele Magnani; Daniele Cattaneo 002; Giovanni Agosta; Stefano Cherubin (SAC, 2024)

The Impact of Profiling Versus Static Analysis in Precision Tuning. - Lev Denisov; Gabriele Magnani; Daniele Cattaneo 002; Giovanni Agosta; Stefano Cherubin (IEEE Access, 2024)

Design-time methodology for optimizing mixed-precision CPU architectures on FPGA. - Lev Denisov; Andrea Galimberti; Daniele Cattaneo 002; Giovanni Agosta; Davide Zoni (J. Syst. Archit., 2024)

Synergistic Memory Optimisations: Precision Tuning in Heterogeneous Memory Hierarchies. - Gabriele Magnani; Daniele Cattaneo 002; Lev Denisov; Giuseppe Tagliavini; Giovanni Agosta; Stefano Cherubin (IEEE Trans. Computers, 2025)