Marco Aldinucci

Marco Aldinucci, Valentina Cesare, Iacopo Colonnelli, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Porting Decision Tree Building and Pruning Algorithms to Multicore using FastFlow

Massimo Torquati, Marco Aldinucci, Salvatore Ruggieri, 2011 .

Exploiting Docker containers over Grid computing for a comprehensive study of chromatin conformation in different cell types

Ivan Merelli, Daniele D'Agostino, Daniele Cesini, 2019, J. Parallel Distributed Comput..

A Cluster-as-Accelerator Approach for SPMD-Free Data Parallelism

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2016, 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP).

Autonomic management of multiple non-functional concerns in behavioural skeletons

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2009, CoreGRID@Euro-Par.

Streaming Applications on Multi-core

Massimo Torquati, Marco Aldinucci, Massimiliano Meneghin, 2009 .

Structured Data Access Annotations for Massively Parallel Computations

Peter Kilpatrick, Massimo Torquati, Sonia Campa, 2012, Euro-Par Workshops.

High-level lock-less programming for multicore

Marco Aldinucci, Torquati Massimo, Fabio Tordini, 2012 .

Dynamic Reconfiguration of Grid-Aware Applications in ASSIST

Massimo Torquati, Corrado Zoccolo, Marco Vanneschi, 2005, Euro-Par.

Decision tree building on multi‐core using FastFlow

Massimo Torquati, Marco Aldinucci, Salvatore Ruggieri, 2014, Concurr. Comput. Pract. Exp..

Optimization techniques for skeletons on grids

Marco Danelutto, Sergei Gorlatch, Marco Aldinucci, 2004, High Performance Computing Workshop.

Autonomic QoS in ASSIST grid-aware components

Marco Danelutto, Marco Vanneschi, Marco Aldinucci, 2006, 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06).

NeoHiC: A Web Application for the Analysis of Hi-C Data

Ivan Merelli, Daniele D'Agostino, Pietro Liò, 2019, CIBB.

RPL: A Domain-Specific Language for Designing and Implementing Parallel C++ Applications

Marco Danelutto, Marco Aldinucci, José Daniel García Sánchez, 2016, 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP).

Autonomic Behavior of Grid Applications using Component Platforms

Largo B. Pontecorvo, Marco Danelutto, Thilo Kielmann, 2008 .

Advances in Autonomic Components & Services

Marco Danelutto, Marco Aldinucci, Giorgio Zoppi, 2008 .

Management in Distributed Systems: A Semi-formal Approach

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2007, Euro-Par.

Harnessing sliding-window execution semantics for parallel stream processing

Salvatore Cuomo, Gabriele Mencagli, Massimo Torquati, 2018, J. Parallel Distributed Comput..

A parallel edge preserving algorithm for salt and pepper image denoising

Simone Palazzo, Concetto Spampinato, Massimo Torquati, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

Parallel stochastic systems biology in the cloud

Concetto Spampinato, Massimo Torquati, Marco Aldinucci, 2013, Briefings Bioinform..

The Implementation of ASSIST, an Environment for Parallel and Distributed Programming

Massimo Torquati, Silvia Magini, Paolo Pesciullesi, 2003, Euro-Par.

Efficient Smith-Waterman on Multi-core with FastFlow

Massimo Torquati, Marco Aldinucci, Massimiliano Meneghin, 2010, 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing.

Deriving Grid Applications from Abstract Models

Largo B. Pontecorvo, Marco Danelutto, Marco Aldinucci, 2007 .

VirtuaLinux Design Principles

Massimo Torquati, Marco Vanneschi, Marco Aldinucci, 2007 .

Pool Evolution: A Parallel Pattern for Evolutionary and Symbolic Computing

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2015, International Journal of Parallel Programming.

Discovering biological knowledge by integrating high‐throughput data and scientific literature on the cloud

Concetto Spampinato, Daniela Giordano, Marco Aldinucci, 2014, Concurr. Comput. Pract. Exp..

An operational semantics for skeletons

Marco Danelutto, Marco Aldinucci, 2003, PARCO.

NuChart-II: The road to a fast and scalable tool for Hi-C data analysis

Ivan Merelli, Pietro Liò, Massimo Torquati, 2017, Int. J. High Perform. Comput. Appl..

HPC4AI: an AI-on-demand federated platform endeavour

Guido Boella, Marco Mellia, Giuseppe Attardi, 2018, CF.

Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations

Marco Grangetto, Marco Aldinucci, Maurizio Drocco, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Algorithmic skeletons meeting grids

Marco Danelutto, Marco Aldinucci, 2006, Parallel Comput..

The Loop-of-Stencil-Reduce Paradigm

Marco Danelutto, Massimo Torquati, Marco Aldinucci, 2015, TrustCom 2015.

Pushing the boundaries of parallel Deep Learning - A practical approach pdf

Marco Aldinucci, Maurizio Drocco, Paolo Viviani, 2018, ArXiv.

An advanced environment supporting structured parallel programming in Java

Marco Danelutto, Marco Aldinucci, P. Teti, 2003, Future Gener. Comput. Syst..

Prototyping and reasoning about distributed systems: an Orc based framework

Marco Danelutto, Marco Aldinucci, 2007 .

NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data

Pietro Liò, Ivan Merelli, Luciano Milanesi, 2014, CIBB.

Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern

Concetto Spampinato, Massimo Torquati, Marco Aldinucci, 2015, Int. J. High Perform. Comput. Appl..

Automatic Mapping of Assist Applications Using Process Algebra

Anne Benoit, Marco Aldinucci, A. Benoit, 2008, Parallel Process. Lett..

ASSIST (v1.2.1)

Marco Aldinucci, 2004 .

Languages for Big Data analysis

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2019, Encyclopedia of Big Data Technologies.

An hybrid linear algebra framework for engineering

Marco Aldinucci, Roberto D'Ippolito, Paolo Viviani, 2016 .

Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming

Gabriele Mencagli, Massimo Torquati, Valeria Cardellini, 2020, Parallel Comput..

FastFlow: Efficient Parallel Streaming Applications on Multi-core pdf

Massimo Torquati, Marco Aldinucci, Massimiliano Meneghin, 2009, ArXiv.

Editor’s Note: High-Level Parallel Programming and Applications (HLPP)

Peter Kilpatrick, Zhiyuan Li, Daniel Etiemble, 2016, International Journal of Parallel Programming.

Securing skeletal systems with limited performance penalty: The muskel

Marco Danelutto, Marco Aldinucci, 2008, J. Syst. Archit..

A parallel pattern for iterative stencil + reduce

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2016, The Journal of Supercomputing.

A Comparison of Big Data Frameworks on a Layered Dataflow Model pdf

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2016, Parallel Process. Lett..

Predictive scheduling for optimal cloud configuration

Edmund K. Burke, Michael G. Epitropakis, Marco Aldinucci, 2014 .

FastFlow tutorial pdf

Marco Danelutto, Massimo Torquati, Marco Aldinucci, 2012, ArXiv.

PiCo: High-performance data analytics pipelines in modern C++

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2018, Future Gener. Comput. Syst..

Dynamic shared data in structured parallel programming frameworks

Marco Danelutto, Marco Aldinucci, Jorge Luis Borges, 2004 .

NuchaRt: Embedding High-Level Parallel Computing in R for Augmented Hi-C Data Analysis

Pietro Liò, Ivan Merelli, Luciano Milanesi, 2015, CIBB.

LIBERO: A Framework for Autonomic Management of Multiple Non-functional Concerns

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2010, Euro-Par Workshops.

Targeting Distributed Systems in FastFlow

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2012, Euro-Par Workshops.

Towards a Spatio-Temporal sKeleton Model implementation on top of SCA

Largo B. Pontecorvo, Marco Danelutto, Marco Aldinucci, 2008 .

Autonomic management of non-functional concerns in distributed & parallel application programming

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

Adding metadata to Orc to support reasoning about grid programs

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2007, CoreGRID.

Targeting Heterogeneous Architectures in ASSIST: Experimental Results

Massimo Torquati, Silvia Magini, Paolo Pesciullesi, 2004, Euro-Par.

Towards the Automatic Mapping of Assist Applications for the Grid

Anne Benoit, Marco Aldinucci, A. Benoit, 2007, Grid 2007.

High-Performance Haplotype Assembly

Andrea Bracciali, Murray Patterson, Massimo Torquati, 2014, CIBB.

On Parallelizing On-Line Statistics for Stochastic Biological Simulations

Massimo Torquati, Marco Aldinucci, Maurizio Drocco, 2011, Euro-Par Workshops.

Behavior Customization of Parallel Components for Grid Application Programming

Marco Danelutto, Sergei Gorlatch, Sonia Campa, 2005 .

Components for high performance Grid programming in Grid.it

Marco Danelutto, Corrado Zoccolo, Massimo Coppola, 2005 .

CWC parallel simulator with on-line statistics

Marco Aldinucci, Maurizio Drocco, Mario Coppo, 2011 .

Accelerating Apache Farms Through Ad-HOC Distributed Scalable Object Repository

Massimo Torquati, Marco Aldinucci, 2004, Euro-Par.

TOWARDS PARALLEL PROGRAMMING BY TRANSFORMATION: THE FAN SKELETON FRAMEWORK

Sergei Gorlatch, Marco Aldinucci, Susanna Pelagatti, 2001, Parallel Algorithms Appl..

The Loop-of-Stencil-Reduce Paradigm

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Process-driven biometric identification by means of autonomic grid components

Vladimir Getov, Marco Danelutto, Marco Aldinucci, 2012, Int. J. Auton. Adapt. Commun. Syst..

Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances

Ivan Merelli, Marco Aldinucci, Pietro Liò, 2017, PARCO.

Structured Implementation of Component-Based Grid Programming Environments

Marco Danelutto, Corrado Zoccolo, Massimo Coppola, 2004, Future Generation Grids.

The VirtuaLinux Storage Abstraction Layer for Ef?cient Virtual Clustering

Massimo Torquati, Marco Vanneschi, Marco Aldinucci, 2008, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008).

Toward a Formal Semantics for Autonomic Components pdf

Emilio Tuosto, Marco Aldinucci, 2010, ArXiv.

Fault-Tolerant Data Sharing for High-level Grid: A Hierarchical Storage Architecture

Mathieu Jan, Gabriel Antoniu, Marco Danelutto, 2006, CoreGRID Integration Workshop.

Parallel Stochastic Simulators in System Biology: The Evolution of the Species

Massimo Torquati, Marco Aldinucci, Maurizio Drocco, 2013, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

Targeting multi cores by structured programming and data flow

Marco Danelutto, Massimo Torquati, Marco Aldinucci, 2011 .

LIBERO: a LIghtweight BEhaviouRal skeletOn framework

Marco Danelutto, Marco Aldinucci, Vamis Xhagjika, 2010 .

Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems

Salvatore Cuomo, Massimo Torquati, Marco Aldinucci, 2017, International Journal of Parallel Programming.

Behavioural Skeletons in GCM: Autonomic Management of Grid Components

Peter Kilpatrick, Patrizio Dazzi, Marco Danelutto, 2008, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008).

StochKit-FF: Efficient Systems Biology on Multicore Architectures

Pietro Liò, Andrea Bracciali, Massimo Torquati, 2010, Euro-Par Workshops.

Skeleton-based parallel programming: Functional and parallel semantics in a single shot

Marco Danelutto, Marco Aldinucci, Marco Aldinucci, 2007, Comput. Lang. Syst. Struct..

Parallel Computer Architecture and Instruction-Level Parallelism

Wolfgang Karl, Marco Aldinucci, Kemal Ebcio, 2004 .

CWC simulator (Calculus of Wrapped Compartments)

Marco Aldinucci, Maurizio Drocco, Ferruccio Damiani, 2010 .

From Orc Models To Distributed Grid Java Code

Peter Kilpatrick, Patrizio Dazzi, Marco Danelutto, 2008, CoreGRID Integration Workshop.

An abstract schema modeling adaptivity management

Marco Danelutto, Corrado Zoccolo, Massimo Coppola, 2007 .

Challenging the abstraction penalty in parallel patterns libraries

Marco Danelutto, Gabriele Mencagli, Massimo Torquati, 2019, The Journal of Supercomputing.

Topic 8: Parallel Computer Architecture and Instruction-Level Parallelism

Kemal Ebcioglu, Wolfgang Karl, Marco Aldinucci, 2004, Euro-Par.

Self-configuring and self-optimizing grid components in the GCM model and their ASSIST implementation

Corrado Zoccolo, Massimo Coppola, Carlo Bertolli, 2006 .

Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II

Pietro Liò, Ivan Merelli, Luciano Milanesi, 2015, 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

Integrating Autonomic Grid Components and Process-Driven Business Applications

Vladimir Getov, Marco Danelutto, Marco Aldinucci, 2009, Autonomics.

Porting Decision Tree Algorithms to Multicore using FastFlow

Massimo Torquati, Marco Aldinucci, Salvatore Ruggieri, 2010, ECML/PKDD.

Towards Hierarchical Management of Autonomic Components: A Case Study

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2009, 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing.

An Efficient Unbounded Lock-Free Queue for Multi-core Systems

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2012, Euro-Par.

Skeleton Parallel Programming and Parallel Objects

Pierre Kuonen, Marco Danelutto, Marcelo Pasin, 2007, Grid 2007.

RobSched’08: International Workshop on Robust Scheduling – part of ICPADS’08 (Int. Conf. on Parallel and Distributed Systems), Melbourne, Australia.

Marco Aldinucci, 2008 .

Multiple back-end support for the armadillo linear algebra interface

Massimo Torquati, Marco Aldinucci, Paolo Viviani, 2017, SAC.

FastFlow: Combining Pattern-Level Abstraction and Efficiency in GPGPUs

Marco Aldinucci, Maurizio Drocco, Torquati Massimo, 2014 .

A framework for experimenting with structure parallel programming environment design

Marco Danelutto, Massimo Torquati, Paolo Pesciullesi, 2003, PARCO.

FastFlow: high-level and ecient streaming on multi-core (A FastFlow short tutorial)

Marco Danelutto, Massimo Torquati, Marco Aldinucci, 2011 .

On Designing Multicore-Aware Simulators for Biological Systems

Massimo Torquati, Marco Aldinucci, Maurizio Drocco, 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

VirtuaLinux: Virtualized High-Density Clusters with no Single Point of Failure

Marco Danelutto, Massimo Torquati, Marco Vanneschi, 2007, PARCO.

Parallel video denoising on heterogeneous platforms

Massimo Torquati, Marco Aldinucci, Maurizio Drocco, 2014 .

Managing Adaptivity in Parallel Systems

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2011, FMCO.

OCCAM: a flexible, multi-purpose and extendable HPC cluster pdf

Stefano Lusso, Marco Aldinucci, Sergio Rabellino, 2017, ArXiv.

Power‐aware pipelining with automatic concurrency control

Gabriele Mencagli, Massimo Torquati, Marco Aldinucci, 2019, Concurr. Comput. Pract. Exp..

A Framework for Prototyping and Reasoning about Distributed Systems

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2007, PARCO.

Proceedings - 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014, Preface from the program chairs

Marco Aldinucci, Kilpatrick Peter, D'Agostino Daniele, 2014 .

Semi-formal Models to Support Program Development: Autonomic Management within Component Based Parallel and Distributed Programming

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2008, FMCO.

Memory-Optimised Parallel Processing of Hi-C Data

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2015, 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

Sequence Alignment Tools: One Parallel Pattern to Rule Them All?

Massimo Torquati, Marco Aldinucci, Claudia Misale, 2014, BioMed research international.

Building Interoperable Grid-aware ASSIST Applications via WebServices

Marco Danelutto, Marco Vanneschi, Marco Aldinucci, 2005, PARCO.

Scaling Dense Linear Algebra on Multicore and Beyond: A Survey

Marco Aldinucci, Maurizio Drocco, Paolo Viviani, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

FastFlow: High-level and Efficient Streaming on Multi-core

Marco Danelutto, Massimo Torquati, Marco Aldinucci, 2017 .

Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons

Marco Danelutto, Christian Pérez, Marco Aldinucci, 2009, Euro-Par.

Memory affinity in multi-threading: the Bowtie2 case study

Massimo Torquati, Marco Aldinucci, Claudia Misale, 2013, HiPEAC 2013.

Programming languages for data-Intensive HPC applications: A systematic mapping study

Helen D. Karatza, Peter Kilpatrick, Edgars Celms, 2020, Parallel Comput..

Efficient Parallel MonteCarlo with FastFlow

Marco Aldinucci, 2010 .

Why High-Performance Modelling and Simulation for Big Data Applications Matters

Elisabeth Larsson, Clemens Grelck, Andrea Bracciali, 2019, High-Performance Modelling and Simulation for Big Data Applications.

Preface from the organizing chairs

Marco Aldinucci, Sergio Rabellino, 2014 .

Parallel Patterns + Macro Data Flow for Multi-core Programming

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2012, 2012 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing.

Design patterns percolating to parallel programming framework implementation

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2014, International Journal of Parallel Programming.

StreamFlow: cross-breeding cloud with HPC pdf

Ivan Merelli, Marco Aldinucci, Iacopo Colonnelli, 2020, ArXiv.

A Formal Semantics for Data Analytics Pipelines pdf

Marco Aldinucci, Claudia Misale, Maurizio Drocco, 2017, ArXiv.

FastFlow parallel programming framework

Massimo Torquati, Marco Aldinucci, 2010 .

Formal Synthetic Immunology

Pietro Liò, Andrea Bracciali, Marco Aldinucci, 2010, ERCIM News.

Orc + metadata supporting grid programming

Marco Danelutto, Marco Aldinucci, Peter Kilpatrick, 2007 .

SFIDA: interoperability in innovative c-business models for SMEs through an enabling Grid platform

Largo B. Pontecorvo, Marco Vanneschi, Marco Aldinucci, 2005 .

Deep learning for automated skeletal bone age assessment in X‐ray images

Simone Palazzo, Concetto Spampinato, Marco Aldinucci, 2017, Medical Image Anal..

ASSIST Demo: A High Level, High Performance Portable, Structured Parallel Programming Environment at Work

Marco Danelutto, Massimo Torquati, Paolo Pesciullesi, 2003, Euro-Par.

PWHATSHAP: efficient haplotyping for future generation sequencing

Ivan Merelli, Andrea Bracciali, Murray Patterson, 2016, BMC Bioinformatics.

ASSIST As a Research Framework for High-Performance Grid Programming Environments

Marco Danelutto, Corrado Zoccolo, Massimo Coppola, 2006, Grid Computing: Software Environments and Tools.

MuCoCoS 2012: 5th international workshop on multi-core computing systems focus: Performance portability and tuning

Eduard Ayguadé, Lasse Natvig, Siegfried Benkner, 2012, HiPC 2012.

Enforcing Deadlines for Skeleton-based Parallel Programming

Enrico Bini, Murray Cole, Marco Aldinucci, 2020, 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

GCM: Grid Component Model - reference implementation with autonomic features (NFCF prototype and early documentation)

Marco Aldinucci, Campa Sonia, Danelutto Marco, 2008 .

Towards a Distributed Scalable Data Service for the Grid

Marco Danelutto, Massimo Torquati, Marco Vanneschi, 2005, PARCO.

An Abstract Annotation Model for Skeletons

Peter Kilpatrick, Massimo Torquati, Sonia Campa, 2011, FMCO.

Managing a heterogeneous scientific computing cluster with cloud-like tools: ideas and experience

Danilo Demarchi, Stefano Lusso, Marco Aldinucci, 2019, EPJ Web of Conferences.

Rewriting skeleton programs: How to evaluate the data-parallel stream-parallel tradeoff

Marco Danelutto, Massimo Coppola, Marco Aldinucci, 1998 .

Exercising High-Level Parallel Programming on Streams: A Systems Biology Use Case

Massimo Torquati, Marco Aldinucci, Claudia Misale, 2014, 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW).

Scalable Computing: Practice and Experience WSSP, Warsaw, Poland, 2007. To appear. MUSKEL: AN EXPANDABLE SKELETON ENVIRONMENT∗

Patrizio Dazzi, Marco Danelutto, Marco Aldinucci, 2007 .

Euro-Par 2018: Parallel Processing

Luca Padovani, Massimo Torquati, Marco Aldinucci, 2018, Lecture Notes in Computer Science.

Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions

Peter Kilpatrick, Marco Danelutto, Marco Aldinucci, 2008, Euro-Par Workshops.

A flexible numerical framework for engineering - a Response Surface Modelling application

Jan Lemeire, Marco Aldinucci, Dean Vucinic, 2018 .

Automatic Program Transformation: The Meta Tool for Skeleton-based Languages

Marco Aldinucci, 2002 .

On Designing Multicore-Aware Simulators for Systems Biology Endowed with OnLine Statistics

Massimo Torquati, Marco Aldinucci, Maurizio Drocco, 2014, BioMed research international.

Deep Learning at Scale

Marco Aldinucci, Maurizio Drocco, Iacopo Colonnelli, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Handling multiple non functional concerns in behavioural skeletons

Marco Danelutto, Marco Aldinucci, Peter Kilpatrick, 2009 .

Efficient streaming applications on multi-core with FastFlow: the biosequence alignment test-bed

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2009, PARCO.

eskimo: Experimenting with Skeletons in the Shared Address Model

Marco Aldinucci, Marco Aldinucci, 2003, Parallel Process. Lett..

GridCoord (EC-Special Action, 6th FP): ERA Pilot on Co-ordinated Europe-wide initiative in Grid Research.

Marco Aldinucci, 2004 .

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Peter Kilpatrick, Horacio González-Vélez, Marco Aldinucci, 2011, FMCO.

Targeting Heterogeneous Architectures via Macro Data Flow

Peter Kilpatrick, Marco Danelutto, Massimo Torquati, 2012, Parallel Process. Lett..

Distributed workflows with Jupyter

Carlo Cavazzoni, Luca Padovani, Marco Aldinucci, 2021, Future Gener. Comput. Syst..

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper)

Concetto Spampinato, Marco Aldinucci, Iacopo Colonnelli, 2021, PARMA-DITAM@HiPEAC.

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans

Simone Palazzo, Concetto Spampinato, Daniela Giordano, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

The Italian research on HPC key technologies across EuroHPC

Alessandro Cilardo, Andrea Bartolini, Giovanni Agosta, 2021, CF.

StreamFlow: Cross-Breeding Cloud With HPC

Ivan Merelli, Marco Aldinucci, Iacopo Colonnelli, 2020, IEEE Transactions on Emerging Topics in Computing.

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale

Massimo Bernaschi, Giovanni Agosta, Bérenger Bramas, 2021, 2021 24th Euromicro Conference on Digital System Design (DSD).

Practical parallelization of scientific applications with OpenMP, OpenACC and MPI

Carlo Cavazzoni, Marco Aldinucci, Maurizio Drocco, 2021, J. Parallel Distributed Comput..

Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis pdf

Marco Aldinucci, Barbara Cantalupo, Iacopo Colonnelli, 2021, ArXiv.

Advantages of using graph databases to explore chromatin conformation capture experiments

Pietro Liò, Ivan Merelli, Marco Aldinucci, 2021, BMC Bioinformatics.

Hardware and Software Solutions for Energy-Efficient Computing in Scientific Programming

Ivan Merelli, Daniele D'Agostino, Daniele Cesini, 2021, Sci. Program..

The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer

Pietro Liò, Ivan Merelli, Luciano Milanesi, 2016, Front. Genet..