Marco Danelutto

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 88

Top Venues

PDP

Int. J. Parallel Program.

PARCO

J. Supercomput.

Publications

Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini
Urgent Edge Computing. FRAME@HPDC (2024)
Marco Danelutto, Patrizio Dazzi, Massimo Torquati
Structuring the Continuum. AINA (5) (2024)
Gabriele Mencagli, Massimo Torquati, Dalvan Griebler, Alessandra Fais, Marco Danelutto
General-purpose data stream processing on heterogeneous architectures with WindFlow. J. Parallel Distributed Comput. 184 (2024)
Rourab Paul, Marco Danelutto
Power Aware Scheduling of Tasks on FPGAs in Data Centers. PDP (2024)
Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini
Urgent Edge Computing. CoRR (2024)
Alberto Ottimo, Gabriele Mencagli, Marco Danelutto
Boosting general-purpose stream processing with reconfigurable hardware. J. Supercomput. 80 (9) (2024)
Adriano Vogel, Marco Danelutto, Dalvan Griebler, Luiz Gustavo Fernandes
Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. PDP (2023)
Gabriell Alves de Araujo, Dalvan Griebler, Dinei A. Rockenbach, Marco Danelutto, Luiz Gustavo Fernandes
NAS Parallel Benchmarks with CUDA and beyond. Softw. Pract. Exp. 53 (1) (2023)
Luca Ferrucci, Marco Danelutto, Patrizio Dazzi
StarFlow: fine-grained execution of workflows in Hybrid Cloud HPC for data stream applications. UCC (2023)
Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Online and transparent self-adaptation of stream parallel patterns. Computing 105 (5) (2023)
Rourab Paul, Marco Danelutto
Power Aware Scheduling of Tasks on FPGAs in Data Centers. CoRR (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the General Chairs: PDP 2023. PDP (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the Organizing Committee Chairs: PDP 2023. PDP (2023)
Marco Aldinucci, Robert Birke, Antonio Brogi, Emanuele Carlini, Massimo Coppola, Marco Danelutto, Patrizio Dazzi, Luca Ferrucci, Stefano Forti, Hanna Kavalionak, Gabriele Mencagli, Matteo Mordacchini, Marcelo Pasin, Federica Paganelli, Massimo Torquati
A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. COMPSAC (2023)
Alberto Ottimo, Gabriele Mencagli, Marco Danelutto
FSP: a Framework for Data Stream Processing Applications targeting FPGAs. PDP (2023)
Marco Danelutto, Gabriele Mencagli, Alberto Ottimo, Francesco Iannone, Paolo Palazzari
FastFlow targeting FPGAs. PDP (2023)
Ricardo Leonarczyk, Dalvan Griebler, Gabriele Mencagli, Marco Danelutto
Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing. Euro-Par Workshops (1) (2023)
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, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops (2023)
Nicolò Tonci, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
Distributed-Memory FastFlow Building Blocks. Int. J. Parallel Program. 51 (1) (2023)
Gabriele Mencagli, Dalvan Griebler, Marco Danelutto
Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. PDP (2022)
Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Self-adaptation on parallel stream processing: A systematic review. Concurr. Comput. Pract. Exp. 34 (6) (2022)
Giovanni Agosta, Marco Aldinucci, Carlos Álvarez, Roberto Ammendola, Yasir Arfat, Olivier Beaumont, Massimo Bernaschi, Andrea Biagioni, Tommaso Boccali, Bérenger Bramas, Carlo Brandolese, Barbara Cantalupo, Mauro Carrozzo, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Iacopo Colonnelli, Paolo Cretaro, Pasqua D'Ambra, Marco Danelutto, Roberto Esposito, Lionel Eyraud-Dubois, Antonio Filgueras, William Fornaciari, Ottorino Frezza, Andrea Galimberti, Francesco Giacomini, Brice Goglin, Daniele Gregori, Abdou Guermouche, Francesco Iannone, Michal Kulczewski, Francesca Lo Cicero, Alessandro Lonardo, Alberto Riccardo Martinelli, Michele Martinelli, Xavier Martorell, Giuseppe Massari, Simone Montangero, Gianluca Mittone, Raymond Namyst, Ariel Oleksiak, Paolo Palazzari, Pier Stanislao Paolucci, Federico Reghenzani, Cristian Rossi, Sergio Saponara, Francesco Simula, Federico Terraneo, Samuel Thibault, Massimo Torquati, Matteo Turisini, Piero Vicini, Miquel Vidal, Davide Zoni, Giuseppe Zummo
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. Microprocess. Microsystems 95 (2022)
Gabriele Mencagli, Massimo Torquati, Andrea Cardaci, Alessandra Fais, Luca Rinaldi, Marco Danelutto
WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Gabriella Andrade, Dalvan Griebler, Rodrigo Pereira dos Santos, Marco Danelutto, Luiz Gustavo Fernandes
Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores. SEAA (2021)
Júnior Löff, Dalvan Griebler, Gabriele Mencagli, Gabriell Alves de Araujo, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Future Gener. Comput. Syst. 125 (2021)
Marco Danelutto, Gabriele Mencagli, Massimo Torquati, Horacio González-Vélez, Peter Kilpatrick
Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming. Int. J. Parallel Program. 49 (2) (2021)
Charles Michael Stein, Dinei A. Rockenbach, Dalvan Griebler, Massimo Torquati, Gabriele Mencagli, Marco Danelutto, Luiz Gustavo Fernandes
Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units. Concurr. Comput. Pract. Exp. 33 (11) (2021)
Giovanni Agosta, Daniele Cattaneo, William Fornaciari, Andrea Galimberti, Giuseppe Massari, Federico Reghenzani, Federico Terraneo, Davide Zoni, Carlo Brandolese, Massimo Celino, Francesco Iannone, Paolo Palazzari, Giuseppe Zummo, Massimo Bernaschi, Pasqua D'Ambra, Sergio Saponara, Marco Danelutto, Massimo Torquati, Marco Aldinucci, Yasir Arfat, Barbara Cantalupo, Iacopo Colonnelli, Roberto Esposito, Alberto Riccardo Martinelli, Gianluca Mittone, Olivier Beaumont, Bérenger Bramas, Lionel Eyraud-Dubois, Brice Goglin, Abdou Guermouche, Raymond Namyst, Samuel Thibault, Antonio Filgueras, Miquel Vidal, Carlos Álvarez, Xavier Martorell, Ariel Oleksiak, Michal Kulczewski, Alessandro Lonardo, Piero Vicini, Francesca Lo Cicero, Francesco Simula, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Pier Stanislao Paolucci, Matteo Turisini, Francesco Giacomini, Tommaso Boccali, Simone Montangero, Roberto Ammendola
TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. DSD (2021)
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, Raffaele Montella, Mauro Olivieri, Sergio Saponara, Daniele Simoni, Massimo Torquati
The Italian research on HPC key technologies across EuroHPC. CF (2021)
Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. PDP (2021)
Renato B. Hoffmann, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Stream Parallelism Annotations for Multi-Core Frameworks. SBLP (2020)
Luca Rinaldi, Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Danelutto
Improving the Performance of Actors on Multi-cores with Parallel Patterns. Int. J. Parallel Program. 48 (4) (2020)
José Daniel García, David del Rio Astorga, Marco Aldinucci, Fabio Tordini, Marco Danelutto, Gabriele Mencagli, Massimo Torquati
Challenging the abstraction penalty in parallel patterns libraries. J. Supercomput. 76 (7) (2020)
Gabriell Alves de Araujo, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Efficient NAS Parallel Benchmark Kernels with CUDA. PDP (2020)
Dalvan Griebler, Adriano Vogel, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76 (6) (2020)
Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
High-throughput stream processing with actors. AGERE!@SPLASH (2020)
Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes
Stream parallelism with ordered data constraints on multi-core systems. J. Supercomput. 75 (8) (2019)
Marco Danelutto, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
Autonomic management experiences in structured parallel programming. HPCS (2019)
Dinei A. Rockenbach, Charles Michael Stein, Dalvan Griebler, Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes
Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges. IPDPS Workshops (2019)
Daniele De Sensi, Marco Danelutto
Application-Aware Power Capping Using Nornir. PPAM (2) (2019)
Leonardo Gazzarri, Marco Danelutto
Supporting structured parallel program design, development and tuning in FastFlow. J. Supercomput. 75 (8) (2019)
Adriano Vogel, Dalvan Griebler, Luiz Gustavo Fernandes, Marco Danelutto
Seamless Parallelism Management for Video Stream Processing on Multi-Cores. PARCO (2019)
Charles Michael Stein, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs. PDP (2019)
Alessandro Di Giorgio, Marco Danelutto
Backus FP Revisited: A Parallel Perspective on Modern Multicores. PARCO (2019)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati, Marco Aldinucci, Peter Kilpatrick
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. Int. J. Parallel Program. 47 (1) (2019)
Gabriele Mencagli, Massimo Torquati, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Raising the Parallel Abstraction Level for Streaming Analytics Applications. IEEE Access 7 (2019)
Luca Rinaldi, Massimo Torquati, Marco Danelutto
Enforcing Reference Capability in FastFlow with Rust. PARCO (2019)
Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Aldinucci, Marco Danelutto
Power-aware pipelining with automatic concurrency control. Concurr. Comput. Pract. Exp. 31 (5) (2019)
Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. Euro-Par Workshops (2019)
Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, Marco Danelutto, Tullio Menga
Accelerating Actor-Based Applications with Parallel Patterns. PDP (2019)
Tiziano De Matteis, Gabriele Mencagli, Daniele De Sensi, Massimo Torquati, Marco Danelutto
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access 7 (2019)
Massimo Torquati, Gabriele Mencagli, Maurizio Drocco, Marco Aldinucci, Tiziano De Matteis, Marco Danelutto
On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. J. Supercomput. 75 (8) (2019)
Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes
High-Level and Productive Stream Parallelism for Dedup, Ferret, and Bzip2. Int. J. Parallel Program. 47 (2) (2019)
Dinei A. Rockenbach, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
High-Level Stream Parallelism Abstractions with SPar Targeting GPUs. PARCO (2019)
Daniele De Sensi, Marco Danelutto
Transparent Autonomicity for OpenMP Applications. Euro-Par Workshops (2019)
Dalvan Griebler, Junior Loff, Gabriele Mencagli, Marco Danelutto, Luiz Gustavo Fernandes
Efficient NAS Benchmark Kernels with C++ Parallel Programming. PDP (2018)
Gabriele Mencagli, Massimo Torquati, Marco Danelutto
Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams. Future Gener. Comput. Syst. 79 (2018)
Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati
Data stream processing via code annotations. J. Supercomput. 74 (11) (2018)
Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati
A parallel pattern for iterative stencil + reduce. J. Supercomput. 74 (11) (2018)
Marco Danelutto, Massimo Torquati
Increasing Efficiency in Parallel Programming Teaching. PDP (2018)
Marco Danelutto, Peter Kilpatrick, Gabriele Mencagli, Massimo Torquati
State access patterns in stream parallel computations. Int. J. High Perform. Comput. Appl. 32 (6) (2018)
Antonio Brogi, Marco Danelutto, Daniele De Sensi, Ahmad Ibrahim, Jacopo Soldani, Massimo Torquati
Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications. Int. J. Parallel Program. 46 (1) (2018)
Daniele De Sensi, Tiziano De Matteis, Marco Danelutto
Simplifying self-adaptive and power-aware computing with Nornir. Future Gener. Comput. Syst. 87 (2018)
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García, Marco Danelutto, Massimo Torquati
Finding parallel patterns through static analysis in C++ applications. Int. J. High Perform. Comput. Appl. 32 (6) (2018)
Dalvan Griebler, Daniele De Sensi, Adriano Vogel, Marco Danelutto, Luiz Gustavo Fernandes
Service Level Objectives via C++11 Attributes. Euro-Par Workshops (2018)
Adriano Vogel, Dalvan Griebler, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops (2018)
Daniele De Sensi, Massimo Torquati, Marco Danelutto
Mammut: High-level management of system knobs and sensors. SoftwareX 6 (2017)
Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14 (4) (2017)
Dalvan Griebler, Marco Danelutto, Massimo Torquati, Luiz Gustavo Fernandes
SPar: A DSL for High-Level and Productive Stream Parallelism. Parallel Process. Lett. 27 (1) (2017)
Manuel F. Dolz, David del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García Carballeira, Marco Danelutto
Enabling semantics to improve detection of data races and misuses of lock-free data structures. Concurr. Comput. Pract. Exp. 29 (15) (2017)
Marco Danelutto, Susanna Pelagatti, Massimo Torquati
Guest Editorial: High-Level Parallel Programming and Applications. Int. J. Parallel Program. 45 (2) (2017)
Marco Danelutto, Daniele De Sensi, Massimo Torquati
A Power-Aware, Self-Adaptive Macro Data Flow Framework. Parallel Process. Lett. 27 (1) (2017)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Massimo Torquati
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. PDP (2017)
Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Tiziano De Matteis
Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Trans. Parallel Distributed Syst. 28 (9) (2017)
Daniele De Sensi, Tiziano De Matteis, Marco Danelutto
Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. Euro-Par Workshops (2017)
Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes
Higher-Level Parallelism Abstractions for Video Applications with SPar. PARCO (2017)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
ARSEC: towards parallel patterns benchmarking. SAC (2017)
Leonardo Gazzarri, Marco Danelutto
A Tool to Support FastFlow Program Design. PARCO (2017)
Marco Danelutto, Massimo Torquati, Peter Kilpatrick
State access patterns in embarrassingly parallel computations. CoRR (2016)
Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati
A parallel pattern for iterative stencil + reduce. CoRR (2016)
Marco Danelutto, José Daniel García, Luis Miguel Sánchez, Rafael Sotomayor, Massimo Torquati
Introducing Parallelism by Using REPARA C++11 Attributes. PDP (2016)
Marco Danelutto, Massimo Torquati, Peter Kilpatrick
A DSL Based Toolchain for Design Space Exploration in Structured Parallel Programming. ICCS (2016)
Marco Danelutto, Gabriele Mencagli, Massimo Torquati
Efficient Dynamic Memory Allocation in Data Stream Processing Programs. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati
A divide-and-conquer parallel pattern implementation for multicores. SEPS@SPLASH (2016)
Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Félix García Carballeira, Marco Danelutto, Massimo Torquati
Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool. PMAM@PPoPP (2016)
Marco Aldinucci, Sonia Campa, Marco Danelutto, Peter Kilpatrick, Massimo Torquati
Pool Evolution: A Parallel Pattern for Evolutionary and Symbolic Computing. Int. J. Parallel Program. 44 (3) (2016)
Vladimir Janjic, Christopher Brown, Kenneth MacKenzie, Kevin Hammond, Marco Danelutto, Marco Aldinucci, José Daniel García
RPL: A Domain-Specific Language for Designing and Implementing Parallel C++ Applications. PDP (2016)
Daniele De Sensi, Massimo Torquati, Marco Danelutto
A Reconfiguration Algorithm for Power-Aware Parallel Applications. ACM Trans. Archit. Code Optim. 13 (4) (2016)
Dalvan Griebler, Marco Danelutto, Massimo Torquati, Luiz Gustavo Fernandes
An Embedded C++ Domain-Specific Language for Stream Parallelism. PARCO (2015)
Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Guilherme Peretti Pezzi, Massimo Torquati
The Loop-of-Stencil-Reduce Paradigm. TrustCom/BigDataSE/ISPA (3) (2015)
Marco Danelutto, Massimo Torquati, Peter Kilpatrick
A Green Perspective on Structured Parallel Programming. PDP (2015)
Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati
Parallelizing High-Frequency Trading Applications by Using C++11 Attributes. TrustCom/BigDataSE/ISPA (3) (2015)
Ugo Albanese, Marco Danelutto
Data parallel patterns in Erlang/OpenCL. PARCO (2015)
Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio
Structured parallel implementation of Tree Echo State Network model selection. PARCO (2015)
Marco Danelutto, Daniele De Sensi, Massimo Torquati
Energy Driven Adaptivity in Stream Parallel Computations. PDP (2015)
Sonia Campa, Marco Danelutto, Mehdi Goli, Horacio González-Vélez, Alina Madalina Popescu, Massimo Torquati
Parallel patterns for heterogeneous CPU/GPU architectures: Structured parallelism from cluster to cloud. Future Gener. Comput. Syst. 37 (2014)
Marco Aldinucci, Sonia Campa, Marco Danelutto, Peter Kilpatrick, Massimo Torquati
Design patterns percolating to parallel programming framework implementation. Int. J. Parallel Program. 42 (6) (2014)
Christopher Brown, Marco Danelutto, Kevin Hammond, Peter Kilpatrick, Archibald Elliott
Cost-Directed Refactoring for Parallel Erlang Programs. Int. J. Parallel Program. 42 (4) (2014)
Marco Danelutto, Massimo Torquati
Loop Parallelism: A New Skeleton Perspective on Data Parallel Patterns. PDP (2014)
Marco Danelutto, Massimo Torquati
Structured Parallel Programming with "core" FastFlow. CEFP (2013)

Marco Danelutto.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marco Danelutto