Towards parallel programming by transformation: the FAN skeleton framework. - Marco Aldinucci; Sergei Gorlatch; Christian Lengauer; Susanna Pelagatti (Parallel Algorithms Appl., 2001)

ASSIST Demo: A High Level, High Performance Portable, Structured Parallel Programming Environment at Work. - Marco Aldinucci; Sonia Campa; Pierpaolo Ciullo; Massimo Coppola; Marco Danelutto; Paolo Pesciullesi; Roberto Ravazzolo; Massimo Torquati; Marco Vanneschi; Corrado Zoccolo (Euro-Par, 2003)

The Implementation of ASSIST, an Environment for Parallel and Distributed Programming. - Marco Aldinucci; Sonia Campa; Pierpaolo Ciullo; Massimo Coppola; Silvia Magini; Paolo Pesciullesi; Laura Potiti; Roberto Ravazzolo; Massimo Torquati; Marco Vanneschi; Corrado Zoccolo (Euro-Par, 2003)

A framework for experimenting with structure parallel programming environment design. - Marco Aldinucci; Sonia Campa; Pierpaolo Ciullo; Massimo Coppola; Marco Danelutto; Paolo Pesciullesi; Roberto Ravazzolo; Massimo Torquati; Marco Vanneschi; Corrado Zoccolo (PARCO, 2003)

An operational semantics for skeletons. - Marco Aldinucci; Marco Danelutto (PARCO, 2003)

An advanced environment supporting structured parallel programming in Java. - Marco Aldinucci; Marco Danelutto; P. Teti (Future Gener. Comput. Syst., 2003)

eskimo: Experimenting with Skeletons in the Shared Address Model. - Marco Aldinucci (Parallel Process. Lett., 2003)

Structured Implementation of Component-Based Grid Programming Environments. - Marco Aldinucci; Massimo Coppola; Sonia Campa; Marco Danelutto; Marco Vanneschi; Corrado Zoccolo (Future Generation Grids, 2004)

Targeting Heterogeneous Architectures in ASSIST: Experimental Results. - Marco Aldinucci; Sonia Campa; Massimo Coppola; Silvia Magini; Paolo Pesciullesi; Laura Potiti; Roberto Ravazzolo; Massimo Torquati; Corrado Zoccolo (Euro-Par, 2004)

Accelerating Apache Farms Through Ad-HOC Distributed Scalable Object Repository. - Marco Aldinucci; Massimo Torquati (Euro-Par, 2004)

Topic 8: Parallel Computer Architecture and Instruction-Level Parallelism. - Kemal Ebcioglu; Wolfgang Karl; André Seznec; Marco Aldinucci (Euro-Par, 2004)

Optimization techniques for skeletons on grids. - Marco Aldinucci; Marco Danelutto; Jan Dünnweber; Sergei Gorlatch (High Performance Computing Workshop, 2004)

Dynamic Reconfiguration of Grid-Aware Applications in ASSIST. - Marco Aldinucci; Alessandro Petrocelli; Edoardo Pistoletti; Massimo Torquati; Marco Vanneschi; Luca Veraldi; Corrado Zoccolo (Euro-Par, 2005)

Parallel Program/Component Adaptivity Management. - Marco Aldinucci; Françoise André; Jérémy Buisson; Sonia Campa; Massimo Coppola; Marco Danelutto; Corrado Zoccolo (PARCO, 2005)

Towards a Distributed Scalable Data Service for the Grid. - Marco Aldinucci; Marco Danelutto; G. Giaccherini; Massimo Torquati; Marco Vanneschi (PARCO, 2005)

Building Interoperable Grid-aware ASSIST Applications via WebServices. - Marco Aldinucci; Marco Danelutto; A. Paternesi; Roberto Ravazzolo; Marco Vanneschi (PARCO, 2005)

ASSIST As a Research Framework for High-Performance Grid Programming Environments. - Marco Aldinucci; Massimo Coppola; Marco Vanneschi; Corrado Zoccolo; Marco Danelutto (Grid Computing: Software Environments and Tools, 2006)

Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture. - Marco Aldinucci; Marco Danelutto; Gabriel Antoniu; Mathieu Jan (CoreGRID Integration Workshop, 2006)

Autonomic QoS in ASSIST Grid-Aware Components. - Marco Aldinucci; Marco Danelutto; Marco Vanneschi (PDP, 2006)

Algorithmic skeletons meeting grids. - Marco Danelutto; Marco Aldinucci (Parallel Comput., 2006)

Behavioural Skeletons for Component Autonomic Management on Grids. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Patrizio Dazzi; Domenico Laforenza; Nicola Tonellotto; Peter Kilpatrick (CoreGRID Workshop - Making Grids Work, 2007)

Adding metadata to Orc to support reasoning about grid programs. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (CoreGRID, 2007)

Management in Distributed Systems: A Semi-formal Approach. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (Euro-Par, 2007)

A Framework for Prototyping and Reasoning about Distributed Systems. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (PARCO, 2007)

VirtuaLinux: Virtualized High-Density Clusters with no Single Point of Failure. - Marco Aldinucci; Marco Danelutto; Massimo Torquati; Francesco Polzella; Gianmarco Spinatelli; Marco Vanneschi; Alessandro Gervaso; Manuel Cacitti; Pierfrancesco Zuccato (PARCO, 2007)

The cost of security in skeletal systems. - Marco Aldinucci; Marco Danelutto (PDP, 2007)

Skeleton-based parallel programming: Functional and parallel semantics in a single shot. - Marco Aldinucci; Marco Danelutto (Comput. Lang. Syst. Struct., 2007)

MUSKEL: an expandable skeleton environment. - Marco Aldinucci; Marco Danelutto; Patrizio Dazzi (Scalable Comput. Pract. Exp., 2007)

From Orc Models To Distributed Grid Java Code. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Patrizio Dazzi (CoreGRID Integration Workshop, 2008)

Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (Euro-Par Workshops, 2008)

Semi-formal Models to Support Program Development: Autonomic Management within Component Based Parallel and Distributed Programming. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (FMCO, 2008)

Behavioural Skeletons in GCM: Autonomic Management of Grid Components. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Marco Vanneschi; Peter Kilpatrick; Patrizio Dazzi; Domenico Laforenza; Nicola Tonellotto (PDP, 2008)

The VirtuaLinux Storage Abstraction Layer for Ef?cient Virtual Clustering. - Marco Aldinucci; Massimo Torquati; Marco Vanneschi; Pierfrancesco Zuccato (PDP, 2008)

Securing skeletal systems with limited performance penalty: The muskel. - Marco Aldinucci; Marco Danelutto (J. Syst. Archit., 2008)

Automatic Mapping of Assist Applications Using Process Algebra. - Marco Aldinucci; Anne Benoit (Parallel Process. Lett., 2008)

Integrating Autonomic Grid Components and Process-Driven Business Applications. - Thomas Weigold; Marco Aldinucci; Marco Danelutto; Vladimir Getov (Autonomics, 2009)

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons. - Marco Aldinucci; Hinde-Lilia Bouziane; Marco Danelutto; Christian Pérez (Euro-Par, 2009)

Autonomic management of multiple non-functional concerns in behavioural skeletons. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (CoreGRID@Euro-Par, 2009)

Autonomic management of non-functional concerns in distributed & parallel application programming. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (IPDPS, 2009)

Skeletons for multi/many-core systems. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (PARCO, 2009)

Efficient streaming applications on multi-core with FastFlow: the biosequence alignment test-bed. - Marco Aldinucci; Marco Danelutto; Massimiliano Meneghin; Massimo Torquati; Peter Kilpatrick (PARCO, 2009)

Towards Hierarchical Management of Autonomic Components: A Case Study. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick (PDP, 2009)

FastFlow: Efficient Parallel Streaming Applications on Multi-core - Marco Aldinucci; Massimo Torquati; Massimiliano Meneghin (CoRR, 2009)

StochKit-FF: Efficient Systems Biology on Multicore Architectures. - Marco Aldinucci; Andrea Bracciali; Pietro Liò; Anil Sorathiya; Massimo Torquati (Euro-Par Workshops, 2010)

LIBERO: A Framework for Autonomic Management of Multiple Non-functional Concerns. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Vamis Xhagjika (Euro-Par Workshops, 2010)

Efficient Smith-Waterman on Multi-core with FastFlow. - Marco Aldinucci; Massimiliano Meneghin; Massimo Torquati (PDP, 2010)

Porting Decision Tree Algorithms to Multicore Using FastFlow. - Marco Aldinucci; Salvatore Ruggieri; Massimo Torquati (ECML/PKDD (1), 2010)

Toward a Formal Semantics for Autonomic Components - Marco Aldinucci; Emilio Tuosto (CoRR, 2010)

Accelerating sequential programs using FastFlow and self-offloading - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Massimiliano Meneghin; Massimo Torquati (CoRR, 2010)

Formal Synthetic Immunology. - Marco Aldinucci; Andrea Bracciali; Pietro Liò (ERCIM News, 2010)

On Parallelizing On-Line Statistics for Stochastic Biological Simulations. - Marco Aldinucci; Mario Coppo; Ferruccio Damiani; Maurizio Drocco; Eva Sciacca; Salvatore Spinella; Massimo Torquati; Angelo Troina (Euro-Par Workshops (2), 2011)

Accelerating Code on Multi-cores with FastFlow. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Massimiliano Meneghin; Massimo Torquati (Euro-Par (2), 2011)

An Abstract Annotation Model for Skeletons. - Marco Aldinucci; Sonia Campa; Peter Kilpatrick; Fabio Tordini; Massimo Torquati (FMCO, 2011)

Managing Adaptivity in Parallel Systems. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Carlo Montangero; Laura Semini (FMCO, 2011)

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems. - Kevin Hammond; Marco Aldinucci; Christopher Brown 002; Francesco Cesarini; Marco Danelutto; Horacio González-Vélez; Peter Kilpatrick; Rainer Keller; Michael Rossbory; Gilad Shainer (FMCO, 2011)

On Designing Multicore-Aware Simulators for Biological Systems. - Marco Aldinucci; Mario Coppo; Ferruccio Damiani; Maurizio Drocco; Massimo Torquati; Angelo Troina (PDP, 2011)

Targeting Distributed Systems in FastFlow. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Peter Kilpatrick; Massimo Torquati (Euro-Par Workshops, 2012)

Structured Data Access Annotations for Massively Parallel Computations. - Marco Aldinucci; Sonia Campa; Peter Kilpatrick; Massimo Torquati (Euro-Par Workshops, 2012)

An Efficient Unbounded Lock-Free Queue for Multi-core Systems. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Massimiliano Meneghin; Massimo Torquati (Euro-Par, 2012)

A parallel edge preserving algorithm for salt and pepper image denoising. - Marco Aldinucci; Concetto Spampinato; Maurizio Drocco; Massimo Torquati; Simone Palazzo (IPTA, 2012)

Parallel Patterns + Macro Data Flow for Multi-core Programming. - Marco Aldinucci; L. Anardu; Marco Danelutto; Massimo Torquati; Peter Kilpatrick (PDP, 2012)

FastFlow tutorial - Marco Aldinucci; Marco Danelutto; Massimo Torquati (CoRR, 2012)

Process-driven biometric identification by means of autonomic grid components. - Thomas Weigold; Marco Aldinucci; Marco Danelutto; Vladimir Getov (Int. J. Auton. Adapt. Commun. Syst., 2012)

Targeting Heterogeneous Architectures via Macro Data Flow. - Marco Aldinucci; Marco Danelutto; Peter Kilpatrick; Massimo Torquati (Parallel Process. Lett., 2012)

Parallel Stochastic Simulators in System Biology: The Evolution of the Species. - Marco Aldinucci; Maurizio Drocco; Fabio Tordini; Mario Coppo; Massimo Torquati (PDP, 2013)

High-Performance Haplotype Assembly. - Marco Aldinucci; Andrea Bracciali; Tobias Marschall; Murray Patterson; Nadia Pisanti; Massimo Torquati (CIBB, 2014)

NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data. - Fabio Tordini; Maurizio Drocco; Ivan Merelli; Luciano Milanesi; Pietro Liò; Marco Aldinucci (CIBB, 2014)

Exercising High-Level Parallel Programming on Streams: A Systems Biology Use Case. - Marco Aldinucci; Maurizio Drocco; Guilherme Peretti Pezzi; Claudia Misale; Fabio Tordini; Massimo Torquati (ICDCS Workshops, 2014)

Parallel stochastic systems biology in the cloud. - Marco Aldinucci; Massimo Torquati; Concetto Spampinato; Maurizio Drocco; Claudia Misale; Cristina Calcagno; Mario Coppo (Briefings Bioinform., 2014)

Decision tree building on multi-core using FastFlow. - Marco Aldinucci; Salvatore Ruggieri; Massimo Torquati (Concurr. Comput. Pract. Exp., 2014)

Discovering biological knowledge by integrating high-throughput data and scientific literature on the cloud. - Concetto Spampinato; Isaak Kavasidis; Marco Aldinucci; Carmelo Pino; Daniela Giordano; Alberto Faro (Concurr. Comput. Pract. Exp., 2014)

Design patterns percolating to parallel programming framework implementation. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Peter Kilpatrick; Massimo Torquati (Int. J. Parallel Program., 2014)

NuchaRt: Embedding High-Level Parallel Computing in R for Augmented Hi-C Data Analysis. - Fabio Tordini; Ivan Merelli; Pietro Liò; Luciano Milanesi; Marco Aldinucci (CIBB, 2015)

Memory-Optimised Parallel Processing of Hi-C Data. - Maurizio Drocco; Claudia Misale; Guilherme Peretti Pezzi; Fabio Tordini; Marco Aldinucci (PDP, 2015)

Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II. - Fabio Tordini; Maurizio Drocco; Claudia Misale; Luciano Milanesi; Pietro Liò; Ivan Merelli; Marco Aldinucci (PDP, 2015)

The Loop-of-Stencil-Reduce Paradigm. - Marco Aldinucci; Marco Danelutto; Maurizio Drocco; Peter Kilpatrick; Guilherme Peretti Pezzi; Massimo Torquati (TrustCom/BigDataSE/ISPA (3), 2015)

Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern. - Marco Aldinucci; Guilherme Peretti Pezzi; Maurizio Drocco; Concetto Spampinato; Massimo Torquati (Int. J. High Perform. Comput. Appl., 2015)

A Cluster-as-Accelerator Approach for SPMD-Free Data Parallelism. - Maurizio Drocco; Claudia Misale; Marco Aldinucci (PDP, 2016)

RPL: A Domain-Specific Language for Designing and Implementing Parallel C++ Applications. - Vladimir Janjic; Christopher Brown 002; Kenneth MacKenzie; Kevin Hammond; Marco Danelutto; Marco Aldinucci; José Daniel García (PDP, 2016)

PWHATSHAP: efficient haplotyping for future generation sequencing. - Andrea Bracciali; Marco Aldinucci; Murray Patterson; Tobias Marschall; Nadia Pisanti; Ivan Merelli; Massimo Torquati (BMC Bioinform., 2016)

Pool Evolution: A Parallel Pattern for Evolutionary and Symbolic Computing. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Peter Kilpatrick; Massimo Torquati (Int. J. Parallel Program., 2016)

PiCo: A Novel Approach to Stream Data Analytics. - Claudia Misale; Maurizio Drocco; Guy Tremblay; Marco Aldinucci (Euro-Par Workshops, 2017)

Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances. - Fabio Tordini; Marco Aldinucci; Paolo Viviani 001; Ivan Merelli; Pietro Liò (PARCO, 2017)

Multiple back-end support for the armadillo linear algebra interface. - Paolo Viviani 001; Marco Aldinucci; Massimo Torquati; Roberto d'lppolito (SAC, 2017)

A Formal Semantics for Data Analytics Pipelines. - Maurizio Drocco; Claudia Misale; Guy Tremblay; Marco Aldinucci (CoRR, 2017)

OCCAM: a flexible, multi-purpose and extendable HPC cluster. - Marco Aldinucci; Stefano Bagnasco; Stefano Lusso; Paolo Pasteris; Sergio Rabellino; Sara Vallero (CoRR, 2017)

NuChart-II: The road to a fast and scalable tool for Hi-C data analysis. - Fabio Tordini; Maurizio Drocco; Claudia Misale; Luciano Milanesi; Pietro Liò; Ivan Merelli; Massimo Torquati; Marco Aldinucci (Int. J. High Perform. Comput. Appl., 2017)

Deep learning for automated skeletal bone age assessment in X-ray images. - Concetto Spampinato; Simone Palazzo; Daniela Giordano; Marco Aldinucci; Rosalia Leonardi (Medical Image Anal., 2017)

A Comparison of Big Data Frameworks on a Layered Dataflow Model. - Claudia Misale; Maurizio Drocco; Marco Aldinucci; Guy Tremblay (Parallel Process. Lett., 2017)

HPC4AI: an AI-on-demand federated platform endeavour. - Marco Aldinucci; Sergio Rabellino; Marco Pironti; Filippo Spiga; Paolo Viviani 001; Maurizio Drocco; Marco Guerzoni; Guido Boella; Marco Mellia; Paolo Margara; Idilio Drago; Roberto Marturano; et al. (CF, 2018)

Scaling Dense Linear Algebra on Multicore and Beyond: A Survey. - Paolo Viviani 001; Maurizio Drocco; Marco Aldinucci (PDP, 2018)

Pushing the boundaries of parallel Deep Learning - A practical approach. - Paolo Viviani 001; Maurizio Drocco; Marco Aldinucci (CoRR, 2018)

PiCo: High-performance data analytics pipelines in modern C++. - Claudia Misale; Maurizio Drocco; Guy Tremblay; Alberto Riccardo Martinelli; Marco Aldinucci (Future Gener. Comput. Syst., 2018)

Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems. - Salvatore Cuomo; Marco Aldinucci; Massimo Torquati (Int. J. Parallel Program., 2018)

Harnessing sliding-window execution semantics for parallel stream processing. - Gabriele Mencagli; Massimo Torquati; Fabio Lucattini; Salvatore Cuomo; Marco Aldinucci (J. Parallel Distributed Comput., 2018)

A parallel pattern for iterative stencil + reduce. - Marco Aldinucci; Marco Danelutto; Maurizio Drocco; Peter Kilpatrick; Claudia Misale; Guilherme Peretti Pezzi; Massimo Torquati (J. Supercomput., 2018)

NeoHiC: A Web Application for the Analysis of Hi-C Data. - Daniele D'Agostino; Pietro Liò; Marco Aldinucci; Ivan Merelli (CIBB, 2019)

Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. - Maurizio Drocco; Paolo Viviani 001; Iacopo Colonnelli; Marco Aldinucci; Marco Grangetto (PDP, 2019)

Deep Learning at Scale. - Paolo Viviani 001; Maurizio Drocco; Daniele Baccega; Iacopo Colonnelli; Marco Aldinucci (PDP, 2019)

Power-aware pipelining with automatic concurrency control. - Massimo Torquati; Daniele De Sensi; Gabriele Mencagli; Marco Aldinucci; Marco Danelutto (Concurr. Comput. Pract. Exp., 2019)

The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati; Marco Aldinucci; Peter Kilpatrick (Int. J. Parallel Program., 2019)

Exploiting Docker containers over Grid computing for a comprehensive study of chromatin conformation in different cell types. - Ivan Merelli; Federico Fornari; Fabio Tordini; Daniele D'Agostino; Marco Aldinucci; Daniele Cesini (J. Parallel Distributed Comput., 2019)

On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. - Massimo Torquati; Gabriele Mencagli; Maurizio Drocco; Marco Aldinucci; Tiziano De Matteis; Marco Danelutto (J. Supercomput., 2019)

Languages for Big Data analysis. - Marco Aldinucci; Maurizio Drocco; Claudia Misale; Guy Tremblay (Encyclopedia of Big Data Technologies, 2019)

Why High-Performance Modelling and Simulation for Big Data Applications Matters. - Clemens Grelck; Ewa Niewiadomska-Szynkiewicz; Marco Aldinucci; Andrea Bracciali; Elisabeth Larsson (High-Performance Modelling and Simulation for Big Data Applications, 2019)

Companion data of a Systematic Mapping Study of Programming Languages for Data-Intensive HPC Applications. - Vasco Amaral 001; Beatriz Norberto; Miguel Goulão; Marco Aldinucci; Siegfried Benkner; Andrea Bracciali; Paulo Carreira 001; Edgars Celms; Luís Correia 001; Clemens Grelck; Helen D. Karatza; Christoph W. Kessler; et al. (Zenodo, 2019)

Companion data of a Systematic Mapping Study of Programming Languages for Data-Intensive HPC Applications. - Vasco Amaral 001; Beatriz Norberto; Miguel Goulão; Marco Aldinucci; Siegfried Benkner; Andrea Bracciali; Paulo Carreira 001; Edgars Celms; Luís Correia 001; Clemens Grelck; Helen D. Karatza; Christoph W. Kessler; et al. (Zenodo, 2019)

Practical Parallelization of Scientific Applications. - Valentina Cesare; Iacopo Colonnelli; Marco Aldinucci (PDP, 2020)

Enforcing Deadlines for Skeleton-based Parallel Programming. - Paul Metzger; Murray Cole; Christian Fensch; Marco Aldinucci; Enrico Bini (RTAS, 2020)

Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming. - Marco Aldinucci; Valeria Cardellini; Gabriele Mencagli; Massimo Torquati (Parallel Comput., 2020)

Programming languages for data-Intensive HPC applications: A systematic mapping study. - Vasco Amaral 001; Beatriz Norberto; Miguel Goulão; Marco Aldinucci; Siegfried Benkner; Andrea Bracciali; Paulo Carreira 001; Edgars Celms; Luís Correia 001; Clemens Grelck; Helen D. Karatza; Christoph W. Kessler; et al. (Parallel Comput., 2020)

Challenging the abstraction penalty in parallel patterns libraries. - José Daniel García; David del Rio Astorga; Marco Aldinucci; Fabio Tordini; Marco Danelutto; Gabriele Mencagli; Massimo Torquati (J. Supercomput., 2020)

The Italian research on HPC key technologies across EuroHPC. - Marco Aldinucci; Giovanni Agosta; Antonio Andreini; Claudio Agostino Ardagna; Andrea Bartolini; Alessandro Cilardo; Biagio Cosenza; Marco Danelutto; Roberto Esposito; William Fornaciari; Roberto Giorgi; Davide Lengani; et al. (CF, 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)

TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. - Carmelo Pino; Giuseppe Vecchio; Marco Fronda; Marco Calandri; Marco Aldinucci; Concetto Spampinato (EMBC, 2021)

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). - Iacopo Colonnelli; Barbara Cantalupo; Roberto Esposito; Matteo Pennisi; Concetto Spampinato; Marco Aldinucci (PARMA-DITAM@HiPEAC, 2021)

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. - Carmelo Pino; Simone Palazzo; Francesca Trenta; Francesca Cordero; Ulas Bagci; Francesco Rundo; Sebastiano Battiato; Daniela Giordano; Marco Aldinucci; Concetto Spampinato (ISBI, 2021)

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. - Matteo Pennisi; Isaak Kavasidis; Concetto Spampinato; Vincenzo Schininà; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Francesco Rundo; Marco Aldinucci; Massimo Cristofaro; Paolo Campioni; Elisa Pianura; et al. (Artif. Intell. Medicine, 2021)

Advantages of using graph databases to explore chromatin conformation capture experiments. - Daniele D'Agostino; Pietro Liò; Marco Aldinucci; Ivan Merelli (BMC Bioinform., 2021)

Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci (CoRR, 2021)

The CLAIRE COVID-19 initiative: approach, experiences and recommendations. - Gianluca Bontempi; Ricardo Chavarriaga; Hans ed Canck; Emanuela Girardi; Holger H. Hoos; Iarla Kilbane-Dawe; Tonio Ball; Ann Nowé; Jose Sousa; Davide Bacciu; Marco Aldinucci; Manlio ed Domenico; et al. (Ethics Inf. Technol., 2021)

Practical parallelization of scientific applications with OpenMP, OpenACC and MPI. - Marco Aldinucci; Valentina Cesare; Iacopo Colonnelli; Alberto Riccardo Martinelli; Gianluca Mittone; Barbara Cantalupo; Carlo Cavazzoni; Maurizio Drocco (J. Parallel Distributed Comput., 2021)

Hardware and Software Solutions for Energy-Efficient Computing in Scientific Programming. - Daniele D'Agostino; Ivan Merelli; Marco Aldinucci; Daniele Cesini (Sci. Program., 2021)

StreamFlow: Cross-Breeding Cloud With HPC. - Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci (IEEE Trans. Emerg. Top. Comput., 2021)

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. - Marco Aldinucci; David Atienza; Federico Bolelli; Mónica Caballero; Iacopo Colonnelli; José Flich; Jon Ander Gómez; David González; Costantino Grana; Marco Grangetto; Simone Leo; Pedro López 001; et al. (Technologies and Applications for Big Data Value, 2022)

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. - Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato (EMBC, 2022)

Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. - Mirko Polato; Roberto Esposito; Marco Aldinucci (IJCNN, 2022)

Benchmarking FedAvg and FedCurv for Image Classification Tasks. - Bruno Casella; Roberto Esposito; Carlo Cavazzoni; Marco Aldinucci (itaDATA, 2022)

The Gaia AVU-GSR parallel solver: Preliminary studies of a LSQR-based application in perspective of exascale systems. - Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Fabio Pitari; Mario Raciti; Giuseppe Tudisco; Marco Aldinucci; Beatrice Bucciarelli (Astron. Comput., 2022)

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (CoRR, 2022)

Modelling Biological and Ecological Systems with the Calculus of Wrapped Compartments. - Marco Aldinucci; Livio Bioglio; Cristina Calcagno; Mario Coppo; Ferruccio Damiani; Maurizio Drocco; Elena Grassi; Pablo Ramón; Eva Sciacca; Salvatore Spinella; Angelo Troina (CoRR, 2022)

Distributed workflows with Jupyter. - Iacopo Colonnelli; Marco Aldinucci; Barbara Cantalupo; Luca Padovani; Sergio Rabellino; Concetto Spampinato; Roberto Morelli; Rosario Di Carlo; Nicolò Magini; Carlo Cavazzoni (Future Gener. Comput. Syst., 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)

Adaptive multi-tier intelligent data manager for Exascale. - Jesús Carretero 001; Javier García-Blas; Marco Aldinucci; Jean-Baptiste Besnard; Jean-Thomas Acquaviva; André Brinkmann; Marc-André Vef; Emmanuel Jeannot; Alberto Miranda; Ramon Nou; Morris Riedel; Massimo Torquati; et al. (CF, 2023)

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CF, 2023)

A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. - Marco Aldinucci; Robert Birke; Antonio Brogi; Emanuele Carlini; Massimo Coppola; Marco Danelutto; Patrizio Dazzi; Luca Ferrucci; Stefano Forti 002; Hanna Kavalionak; Gabriele Mencagli; Matteo Mordacchini; et al. (COMPSAC, 2023)

Towards formal model for location aware workflows. - Doriana Medic; Marco Aldinucci (COMPSAC, 2023)

Porting the Variant Calling Pipeline for NGS data in cloud-HPC environment. - Alberto Mulone; Sherine Awad; Davide Chiarugi; Marco Aldinucci (COMPSAC, 2023)

Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications. - Javier García Blas; Genaro Sanchez-Gallegos; Cosmin Petre; Alberto Riccardo Martinelli; Marco Aldinucci; Jesús Carretero 001 (Euro-Par, 2023)

Efficiently Distributed Federated Learning. - Gianluca Mittone; Robert Birke; Marco Aldinucci (Euro-Par Workshops, 2023)

Model-Agnostic Federated Learning. - Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci (Euro-Par, 2023)

CAPIO: a Middleware for Transparent I/O Streaming in Data- Intensive Workflows. - Alberto Riccardo Martinelli; Massimo Torquati; Marco Aldinucci; Iacopo Colonnelli; Barbara Cantalupo (HiPC, 2023)

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato; Simone Palazzo; Bruno Casella; Marco Aldinucci (ICCV (Workshops), 2023)

The SWH-Analytics Framework. - Alessia Antelmi; Massimo Torquati; Daniele Gregori; Francesco Polzella; Gianmarco Spinatelli; Marco Aldinucci (itaDATA, 2023)

Pooling critical datasets with Federated Learning. - Yasir Arfat; Gianluca Mittone; Iacopo Colonnelli; Fabrizio D'Ascenzo; Roberto Esposito; Marco Aldinucci (PDP, 2023)

RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. - William Fornaciari; Federico Reghenzani; Federico Terraneo; Davide Baroffio; Cecilia Metra; Martin Omaña 001; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Robert Birke; Iacopo Colonnelli; Gianluca Mittone; Marco Aldinucci; et al. (SAMOS, 2023)

A Systematic Mapping Study of Italian Research on Workflows. - Marco Aldinucci; Elena Maria Baralis; Valeria Cardellini; Iacopo Colonnelli; Marco Danelutto; Sergio Decherchi; Giuseppe Di Modica; Luca Ferrucci; Marco Gribaudo; Francesco Iannone; Marco Lapegna; Doriana Medic; et al. (SC Workshops, 2023)

Boosting Methods for Federated Learning. - Roberto Esposito; Mirko Polato; Marco Aldinucci (SEBD, 2023)

Distributed Edge Inference: an Experimental Study on Multiview Detection. - Gianluca Mittone; Giulio Malenza; Marco Aldinucci; Robert Birke (UCC, 2023)

A Federated Learning Benchmark for Drug-Target Interaction. - Gianluca Mittone; Filip Svoboda; Marco Aldinucci; Nicholas D. Lane; Pietro Lió (WWW (Companion Volume), 2023)

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CoRR, 2023)

The MPI + CUDA Gaia AVU-GSR Parallel Solver Toward Next-generation Exascale Infrastructures. - Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Fabio Pitari; Marco Aldinucci; Beatrice Bucciarelli (CoRR, 2023)

MERGE: A model for multi-input biomedical federated learning. - Bruno Casella; Walter Riviera; Marco Aldinucci; Gloria Menegaz (Patterns, 2023)

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)

Federated Learning in a Semi-Supervised Environment for Earth Observation Data. - Bruno Casella; Alessio Barbaro Chisari; Marco Aldinucci; Sebastiano Battiato; Mario Valerio Giuffrida (ESANN, 2024)

Federated Time Series Classification with ROCKET features. - Bruno Casella; Matthias Jakobs; Marco Aldinucci; Sebastian Buschjäger (ESANN, 2024)

A Fault Tolerance Mechanism for Hybrid Scientific Workflows. - Alberto Mulone; Doriana Medic; Marco Aldinucci (Euro-Par Workshops (2), 2024)

Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows. - Iacopo Colonnelli; Doriana Medic; Alberto Mulone; Viviana Bono; Luca Padovani; Marco Aldinucci (FM (1), 2024)

Performance Analysis on DNA Alignment Workload with Intel SGX Multithreading. - Lorenzo Brescia; Iacopo Colonnelli; Marco Aldinucci (BigHPC@itaDATA, 2024)

Assessing Large Language Models Inference Performance on a 64-core RISC-V CPU with Silicon-Enabled Vectors. - Adriano Marques Garcia; Giulio Malenza; Robert Birke; Marco Aldinucci (BigHPC@itaDATA, 2024)

DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. - Miruna Betianu; Abele Malan; Marco Aldinucci; Robert Birke; Lydia Y. Chen (PAKDD (3), 2024)

Benchmarking Parallelization Models through Karmarkar's Interior-point method. - Marco Edoardo Santimaria; Samuele Fonio; Giulio Malenza; Iacopo Colonnelli; Marco Aldinucci (PDP, 2024)

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study. - Giulio Malenza; Valentina Cesare; Marco Edoardo Santimaria; Robert Birke; Alberto Vecchiato; Ugo Becciani; Marco Aldinucci (SC Workshops, 2024)

A Performance Analysis for Confidential Federated Learning. - Bruno Casella; Iacopo Colonnelli; Gianluca Mittone; Robert Birke; Walter Riviera; Antonio Sciarappa; Carlo Cavazzoni; Marco Aldinucci (SP (Workshops), 2024)

Secure Generic Remote Workflow Execution with TEEs. - Lorenzo Brescia; Marco Aldinucci (WiDE@EuroSys, 2024)

Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. - Bruno Casella; Roberto Esposito; Antonio Sciarappa; Carlo Cavazzoni; Marco Aldinucci (IEEE Access, 2024)

Stream parallel skeleton optimization. - Marco Aldinucci; Marco Danelutto (CoRR, 2024)

FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (Comput. Vis. Image Underst., 2024)

An ambient assisted living architecture for hospital at home coupled with a process-oriented perspective. - Emilio Sulis; Ilaria Angela Amantea; Marco Aldinucci; Guido Boella; Renata Marinello; Marco Grosso; Paolo Platter; Serena Ambrosini (J. Ambient Intell. Humaniz. Comput., 2024)

Artifact for paper "Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows". - Iacopo Colonnelli; Doriana Medic; Alberto Mulone; Viviana Bono; Luca Padovani; Marco Aldinucci (Zenodo, 2024)

Analyzing FOSS license usage in publicly available software at scale via the SWH-analytics framework. - Alessia Antelmi; Massimo Torquati; Giacomo Corridori; Daniele Gregori; Francesco Polzella; Gianmarco Spinatelli; Marco Aldinucci (J. Supercomput., 2024)

Toward HPC application portability via C++ PSTL: the Gaia AVU-GSR code assessment. - Giulio Malenza; Valentina Cesare; Marco Aldinucci; Ugo Becciani; Alberto Vecchiato (J. Supercomput., 2024)

A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Isaak Kavasidis; Ovidio De Filippo; M. Millesimo; Gaetano Maria de Ferrari; Marco Aldinucci; Daniela Giordano; Simone Palazzo; Fabrizio D'Ascenzo; Concetto Spampinato (IEEE Trans. Medical Imaging, 2024)

Hyperbolic Prototypical Entailment Cones for Image Classification. - Samuele Fonio; Roberto Esposito; Marco Aldinucci (AISTATS, 2025)

End-To-End Confidentiality with Sev-Snp Leveraging in-Memory Storage. - Lorenzo Brescia; Iacopo Colonnelli; Valerio Schiavoni; Pascal Felber; Marco Aldinucci (EuroS&P (Workshops), 2025)

A Simulation-Based Framework to Reduce I/O Contention in HPC. - Simone Pernice; Ahmad Tarraf; Jean-Baptiste Besnard; Barbara Cantalupo; Alberto Cascajo; David E. Singh; Felix Wolf 001; Jesús Carretero 001; Sameer Shende; Marco Aldinucci (IPDPS (Workshops), 2025)

Covariances computation in the Gaia AVU-GSR Parallel Solver with I/O techniques: a performance study as a function of writing cycle length. - Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Marco Aldinucci; Beatrice Bucciarelli (PDP, 2025)

Sustainable-HPC: toward Digital Twin for active management of self-cooled data centers with Renewable Energy Sources and waste heat recovery. - Silvia Meschini; Lavinia Chiara Tagliabue; Giuseppe Martino Di Giuda; Marco Aldinucci; Paola Gasbarri; Daniele Accardo (PDP, 2025)

HPC4AI@UNITO: A Use Case For Datacenter Digital Twin. - Viviana Vaccaro; Robert Birke; Lavinia Chiara Tagliabue; Sergio Rabellino; Marco Aldinucci (PDP, 2025)

Sustainable Data Centers: Advancing Energy Efficiency and Resource Optimization. - Viviana Vaccaro; Lavinia Chiara Tagliabue; Marco Aldinucci (PDP, 2025)

Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU. - Giulio Malenza; Francesco Targa; Adriano Marques Garcia; Marco Aldinucci; Robert Birke (CoRR, 2025)

Decentralized Time Series Classification with ROCKET Features. - Bruno Casella; Matthias Jakobs; Marco Aldinucci; Sebastian Buschjäger (CoRR, 2025)

CAPIO-CL: The CAPIO Coordination Language. - Marco Edoardo Santimaria; Alberto Riccardo Martinelli; Iacopo Colonnelli; Barbara Cantalupo; Massimo Torquati; Marco Aldinucci (Int. J. Parallel Program., 2025)

Building an Accelerated OpenFOAM Proof-of-Concept Application using Modern C++. - Giulio Malenza; Giovanni Stabile; Filippo Spiga; Robert Birke; Marco Aldinucci (CoRR, 2025)

Analysis of Model Parallelism for AI Applications on a 64-core RV64 Server CPU. - Giulio Malenza; Adriano Marques Garcia; Robert Birke; Luca Benini; Marco Aldinucci (Int. J. Parallel Program., 2025)

Performance Portability Assessment in Gaia. - Giulio Malenza; Valentina Cesare; Marco Edoardo Santimaria; Robert Birke; Alberto Vecchiato; Ugo Becciani; Marco Aldinucci (IEEE Trans. Parallel Distributed Syst., 2025)

A comprehensive performance evaluation of TEEs for confidential DNA alignment. - Lorenzo Brescia; Iacopo Colonnelli; Robert Birke; Valerio Schiavoni; Pascal Felber; Marco Aldinucci (Future Gener. Comput. Syst., 2026)