Massimiliano Guarrasi

According to our database, Massimiliano Guarrasi authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

M100 dataset 12: 22-09.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 11: 22-08.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 10: 22-07.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 9: 22-06.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 8: 22-05.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 7: 22-04.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 6: 22-03.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 5: from 22-01 to 22-02.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 4: from 21-10 to 21-12.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 3: from 21-07 to 21-09.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 2: from 21-01 to 21-06.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset 1: from 20-03 to 20-12.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

M100 dataset: time-aggregated data for anomaly detection.

Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi, Andrea Bartolini

Dataset, January, 2023

2021

An Explainable Model for Fault Detection in HPC Systems.

Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

2019

Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images.

Alessandro Bria, Massimo Bernaschi, Massimiliano Guarrasi, Giulio Iannello

Frontiers Neuroinformatics, 2019

2018

SAMPL6 host-guest blind predictions using a non equilibrium alchemical approach.

Piero Procacci, Massimiliano Guarrasi, Guido Guarnieri

J. Comput. Aided Mol. Des., 2018

2013

Testing and Implementing Some New Algorithms Using the FFTW Library on Massively Parallel Supercomputers.

Massimiliano Guarrasi, Ning Li, Sandro Frigio, Andrew P. J. Emerson, Giovanni Erbacci

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013