World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
4904
World Ranking
10383
National Ranking
317

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to energy-efficient computer architectures

Overview

Cristina Silvano is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Within these areas, they have focused on several subfields such as Molecular Biology, Electrical and Electronic Engineering, Hardware and Architecture, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

The scientist's main topics of research include Parallel Computing and Optimization Techniques, Computational Drug Discovery Methods, Advanced Memory and Neural Computing, Advanced Neural Network Applications, Bioinformatics and Genomic Networks, Protein Structure and Dynamics, and Protein Degradation and Inhibitors.

Cristina Silvano has contributed to multiple academic papers over recent years. Notable publications include:

  • A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms, 2023, arXiv (Cornell University)
  • A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms, 2025, ACM Computing Surveys

Other related works where Silvano was not the primary author but connected to their research area include:

  • EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2, 2022, IEEE Transactions on Emerging Topics in Computing
  • Pegasus: Performance Engineering for Software Applications Targeting HPC Systems, 2020, IEEE Transactions on Software Engineering
  • Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, 2021, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

The frequent co-authors collaborating with Cristina Silvano include Davide Gadioli, Gianluca Palermo, Emanuele Vitali, Andrea R. Beccari, and Carlo Cavazzoni.

Publication venues where Cristina Silvano has most often appeared are:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Software Engineering
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

In addition to journal articles, Cristina Silvano has contributed to book publications, including a title under Springer Science+Business Media: "Embedded Computer Systems: Architectures, Modeling, and Simulation" published in 2023.

Award recognition includes being named an IEEE Fellow in 2017 for contributions to energy-efficient computer architectures.

Best Publications

  • Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • A Survey on Compiler Autotuning using Machine Learning

    Amir H. Ashouri;William Killian;John Cavazos;Gianluca Palermo

  • Address bus encoding techniques for system-level power optimization

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • ReSPIR: A Response Surface-Based Pareto Iterative Refinement for Application-Specific Design Space Exploration

    G. Palermo;C. Silvano;V. Zaccaria

  • Secure Memory Accesses on Networks-on-Chip

    L. Fiorin;G. Palermo;S. Lukovic;V. Catalano

  • A Power Modeling and Estimation Framework for VLIW-based Embedded Systems

    L. Benini;D. Bruni;M. Chinosi;C. Silvano

  • Exploration of distributed shared memory architectures for NoC-based multiprocessors

    Matteo Monchiero;Gianluca Palermo;Cristina Silvano;Oreste Villa

  • Multi-objective design space exploration of embedded systems

    Gianluca Palermo;Cristina Silvano;Vittorio Zaccaria

  • MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning

    Amir H. Ashouri;Andrea Bignoli;Gianluca Palermo;Cristina Silvano

  • Power estimation of embedded systems: a hardware/software codesign approach

    W. Fornaciari;P. Gubian;D. Sciuto;C. Silvano

  • A security monitoring service for NoCs

    Leandro Fiorin;Gianluca Palermo;Cristina Silvano

  • MULTICUBE: Multi-objective Design Space Exploration of Multi-core Architectures

    C. Silvano;W. Fornaciari;G. Palermo;V. Zaccaria

  • COBAYN: Compiler Autotuning Framework Using Bayesian Networks

    Amir Hossein Ashouri;Giovanni Mariani;Gianluca Palermo;Eunjung Park

  • Power optimization of system-level address buses based on software profiling

    W. Fornaciari;M. Polentarutti;D. Sciuto;C. Silvano

  • PIRATE: A Framework for Power/Performance Exploration of Network-on-Chip Architectures

    Gianluca Palermo;Cristina Silvano

  • An instruction-level energy model for embedded VLIW architectures

    M. Sami;D. Sciuto;C. Silvano;V. Zaccaria

  • Power estimation for architectural exploration of HW/SW communication on system-level buses

    William Fornaciari;Donatella Sciuto;Christina Silvano

  • An industrial design space exploration framework for supporting run-time resource management on multi-core systems

    G. Mariani;P. Avasare;G. Vanmeerbeeck;C. Ykman-Couvreur

  • Energy estimation and optimization of embedded VLIW processors based on instruction clustering

    A. Bona;M. Sami;D. Sciuto;C. Silvano

  • Efficient Synchronization for Embedded On-Chip Multiprocessors

    M. Monchiero;G. Palermo;C. Silvano;O. Villa

Frequent Co-Authors

Gianluca Palermo
Gianluca Palermo Polytechnic University of Milan
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Luca Benini
Luca Benini ETH Zurich
Koen Bertels
Koen Bertels Delft University of Technology
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens
Gerd Ascheid
Gerd Ascheid RWTH Aachen University
Petri Mahonen
Petri Mahonen Aalto University
Enrico Macii
Enrico Macii Polytechnic University of Turin
Heinrich Meyr
Heinrich Meyr RWTH Aachen University

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