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D-Index & Metrics

Computer Science

D-Index
30
Citations
3822
World Ranking
14100
National Ranking
513

Overview

Gianluca Palermo is affiliated with the Polytechnic University of Milan in Italy and works primarily in the field of Computer Science. Their research focuses across several subfields, including Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications, Hardware and Architecture, and Artificial Intelligence.

Palermo's research contributions span a range of topics, notably:

  • Computational Drug Discovery Methods
  • Parallel Computing and Optimization Techniques
  • Protein Structure and Dynamics
  • Cloud Computing and Resource Management
  • Machine Learning in Materials Science
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Distributed and Parallel Computing Systems

The scientist has published extensively, including papers such as:

  • "A Review on Parallel Virtual Screening Softwares for High-Performance Computers" (2022) in Pharmaceuticals
  • "Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities" (2024) in Computational and Structural Biotechnology Journal
  • "EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2" (2022) in IEEE Transactions on Emerging Topics in Computing
  • "EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms" (2021) in arXiv (Cornell University)
  • "GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis" (2023) in Journal of Parallel and Distributed Computing

Publication venues where Palermo has frequently contributed include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Parallel and Distributed Computing
  • Computational and Structural Biotechnology Journal
  • Quantum Science and Technology

Their collaborations are marked by frequent co-authorship with several researchers, notably:

  • Davide Gadioli
  • Andrea R. Beccari
  • Emanuele Vitali
  • Roberto Rocco
  • Federico Ficarelli

Best Publications

  • A Survey on Compiler Autotuning using Machine Learning

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

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

    G. Palermo;C. Silvano;V. Zaccaria

  • AES power attack based on induced cache miss and countermeasure

    G. Bertoni;V. Zaccaria;L. Breveglieri;M. Monchiero

  • Secure Memory Accesses on Networks-on-Chip

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

  • 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

  • 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

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

    Gianluca Palermo;Cristina 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

  • The COMPLEX methodology for UML/MARTE Modeling and design space exploration of embedded systems

    Fernando Herrera;Héctor Posadas;Pablo Peñil;Eugenio Villar

  • Efficient Synchronization for Embedded On-Chip Multiprocessors

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

  • A correlation-based design space exploration methodology for multi-processor systems-on-chip

    Giovanni Mariani;Aleksandar Brankovic;Gianluca Palermo;Jovana Jovic

  • Linking run-time resource management of embedded multi-core platforms with automated design-time exploration

    Chantal Ykman-Couvreur;Prabhat Avasare;Giovanni Mariani;Gianluca Palermo

  • A Review on Parallel Virtual Screening Softwares for High Performance Computers.

    Natarajan Arul Murugan;Artur Podobas;Davide Gadioli;Emanuele Vitali

  • A Pipelined Fast 2D-DCT Accelerator for FPGA-based SoCs

    A. Tumeo;M. Monchiero;G. Palermo;F. Ferrandi

  • The COMPLEX reference framework for HW/SW co-design and power management supporting platform-based design-space exploration

    Kim Grüttner;Philipp A. Hartmann;Kai Hylla;Sven Rosinger

  • Discrete Particle Swarm Optimization for Multi-objective Design Space Exploration

    G. Palermo;C. Silvano;V. Zaccaria

  • Efficiency and scalability of barrier synchronization on NoC based many-core architectures

    Oreste Villa;Gianluca Palermo;Cristina Silvano

Frequent Co-Authors

Cristina Silvano
Cristina Silvano Polytechnic University of Milan
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Luca Benini
Luca Benini ETH Zurich
Luigi Carro
Luigi Carro Federal University of Rio Grande do Sul
Petri Mahonen
Petri Mahonen Aalto University
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens
Gerd Ascheid
Gerd Ascheid RWTH Aachen University
Heinrich Meyr
Heinrich Meyr RWTH Aachen University
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan

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