Gabriele Mencagli

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 64

Top Topics

Predictive Control

Skyline Queries

Parallel Programming

Top Venues

Concurr. Comput. Pract. Exp.

Int. J. Parallel Program.

Future Gener. Comput. Syst.

Publications

Elena Ascari, Mauro Cerchiai, Pasquale Gorrasi, Antonella Longo, Gabriele Mencagli, Francesca Miccoli, Marco Zappatore
OUTFIT: Crowdsourced Data Feeding Noise Maps in Digital Twins. FRAME@HPDC (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)
Gabriele Mencagli, Patrizio Dazzi, Massimo Coppola
Springald: GPU-Accelerated Window-Based Aggregates Over Out-of-Order Data Streams. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Alberto Ottimo, Gabriele Mencagli, Marco Danelutto
Boosting general-purpose stream processing with reconfigurable hardware. J. Supercomput. 80 (9) (2024)
Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Online and transparent self-adaptation of stream parallel patterns. Computing 105 (5) (2023)
Fausto Frasca, Vincenzo Gulisano, Gabriele Mencagli, Dimitris Palyvos-Giannas, Massimo Torquati
Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. CF (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)
Nicolò Tonci, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
Distributed-Memory FastFlow Building Blocks. Int. J. Parallel Program. 51 (1) (2023)
William Fornaciari, Federico Reghenzani, Federico Terraneo, Davide Baroffio, Cecilia Metra, Martin Omaña, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Robert Birke, Iacopo Colonnelli, Gianluca Mittone, Marco Aldinucci, Gabriele Mencagli, Francesco Iannone, Filippo Palombi, Giuseppe Zummo, Daniele Cesarini, Federico Tesser
RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. SAMOS (2023)
Gabriele Mencagli, Dalvan Griebler, Marco Danelutto
Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. PDP (2022)
Valeria Cardellini, Gabriele Mencagli, Massimo Torquati
The 4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021). ICPE (2021)
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)
Cristiana Barbosa Bentes, Felipe M. G. França, Leandro Augusto Justen Marzulo, Gabriele Mencagli, Maurício Lima Pilla
Novel parallel processing techniques for IoT-based machine learning applications. Concurr. Comput. Pract. Exp. 33 (11) (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR (2021)
Dimitris Palyvos-Giannas, Gabriele Mencagli, Marina Papatriantafilou, Vincenzo Gulisano
Lachesis: a middleware for customizing OS scheduling of stream processing queries. Middleware (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS (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)
Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. PDP (2021)
Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari
An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. FRAME@HPDC (2021)
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)
Leandro A. J. Marzulo, Tiago A. O. Alves, Cristiana Bentes, Gabriele Mencagli
Workshop 15: MPP Parallel Programming Models - Special Edition Machine Learning Performance and Security. IPDPS Workshops (2020)
Maycon Viana Bordin, Dalvan Griebler, Gabriele Mencagli, Cláudio F. R. Geyer, Luiz Gustavo Leão Fernandes
DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems. IEEE Access 8 (2020)
Marco Aldinucci, Valeria Cardellini, Gabriele Mencagli, Massimo Torquati
Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming. Parallel Comput. 98 (2020)
Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
High-throughput stream processing with actors. AGERE!@SPLASH (2020)
Marco Danelutto, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
Autonomic management experiences in structured parallel programming. HPCS (2019)
Gabriele Mencagli, Felipe M. G. França, Cristiana Bentes Seidel, Leandro A. J. Marzulo, Maurício Lima Pilla
computing on the next-generation computing platforms. Int. J. High Perform. Comput. Appl. 33 (3) (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)
Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe M. G. França, Cristiana B. Bentes, Gabriele Mencagli, Tiago A. O. Alves, Alexandre da Costa Sena, Leandro A. J. Marzulo
A dataflow runtime environment and static scheduler for edge, fog and in-situ computing. Int. J. Grid Util. Comput. 10 (3) (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)
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)
Valeria Cardellini, Gabriele Mencagli, Domenico Talia, Massimo Torquati
New Landscapes of the Data Stream Processing in the era of Fog Computing. Future Gener. Comput. Syst. 99 (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)
Gabriele Mencagli, Marco Vanneschi, Silvia Lametti
The home-forwarding mechanism to reduce the cache coherence overhead in next-generation CMPs. Future Gener. Comput. Syst. 82 (2018)
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)
Massimo Torquati, Tullio Menga, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli
Reducing Message Latency and CPU Utilization in the CAF Actor Framework. PDP (2018)
Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati
Data stream processing via code annotations. J. Supercomput. 74 (11) (2018)
Gabriele Mencagli, Massimo Torquati, Fabio Lucattini, Salvatore Cuomo, Marco Aldinucci
Harnessing sliding-window execution semantics for parallel stream processing. J. Parallel Distributed Comput. 116 (2018)
Leandro A. J. Marzulo, Felipe Maia Galvão França, Cristiana Bentes, Gabriele Mencagli
Introduction to MPP 2018. IPDPS Workshops (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)
Adriano Vogel, Cassiano Rista, Gabriel Justo, Endrius Ewald, Dalvan Griebler, Gabriele Mencagli, Luiz Gustavo Fernandes
Parallel Stream Processing with MPI for Video Analytics and Data Visualization. WSCAD (Selected Papers) (2018)
Gabriele Mencagli, Patrizio Dazzi, Nicolò Tonci
SpinStreams: a Static Optimization Tool for Data Stream Processing Applications. Middleware (2018)
Tiziano De Matteis, Gabriele Mencagli
Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators. PDP (2017)
Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14 (4) (2017)
Antonio Brogi, Gabriele Mencagli, Davide Neri, Jacopo Soldani, Massimo Torquati
Container-Based Support for Autonomic Data Stream Processing Through the Fog. Euro-Par Workshops (2017)
Tiziano De Matteis, Gabriele Mencagli
Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach. Int. J. Parallel Program. 45 (2) (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)
Tiziano De Matteis, Gabriele Mencagli
Proactive elasticity and energy awareness in data stream processing. J. Syst. Softw. 127 (2017)
Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati
ARSEC: towards parallel patterns benchmarking. SAC (2017)
Gabriele Mencagli
Adaptive model predictive control of autonomic distributed parallel computations with variable horizons and switching costs. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli
Continuous skyline queries on multicore architectures. Concurr. Comput. Pract. Exp. 28 (12) (2016)
Gabriele Mencagli
A Game-Theoretic Approach for Elastic Distributed Data Stream Processing. ACM Trans. Auton. Adapt. Syst. 11 (2) (2016)
Marco Danelutto, Gabriele Mencagli, Massimo Torquati
Efficient Dynamic Memory Allocation in Data Stream Processing Programs. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Tiziano De Matteis, Gabriele Mencagli
Keep calm and react with foresight: strategies for low-latency and energy-efficient elastic data stream processing. PPOPP (2016)
Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati
A divide-and-conquer parallel pattern implementation for multicores. SEPS@SPLASH (2016)
Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli
A Multicore Parallelization of Continuous Skyline Queries on Data Streams. Euro-Par (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)
Gabriele Mencagli, Marco Vanneschi
Towards a systematic approach to the dynamic adaptation of structured parallel computations using model predictive control. Clust. Comput. 17 (4) (2014)
Daniele Buono, Tiziano De Matteis, Gabriele Mencagli, Marco Vanneschi
Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading. PDP (2014)
Daniele Buono, Gabriele Mencagli
Run-time mechanisms for fine-grained parallelism on network processors: The TILEPro64 experience. HPCS (2014)
Daniele Buono, Gabriele Mencagli, Alessio Pascucci, Marco Vanneschi
Performance analysis and structured parallelisation of the space-time adaptive processing computational kernel on multi-core architectures. Int. J. Parallel Emergent Distributed Syst. 29 (5) (2014)
Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa
A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications. ACM Trans. Auton. Adapt. Syst. 9 (1) (2014)
Daniele Buono, Tiziano De Matteis, Gabriele Mencagli
A High-Throughput and Low-Latency Parallelization of Window-Based Stream Joins on Multicores. ISPA (2014)
Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa
Reconfiguration Stability of Adaptive Distributed Parallel Applications through a Cooperative Predictive Control Approach. Euro-Par (2013)
Gabriele Mencagli, Marco Vanneschi, Emanuele Vespa
Control-theoretic adaptation strategies for autonomic reconfigurable parallel applications on cloud environments. HPCS (2013)
Gabriele Mencagli, Marco Vanneschi
Analysis of control-theoretic predictive strategies for the adaptation of distributed parallel computations. ORMaCloud (2013)
Carlo Bertolli, Gabriele Mencagli, Marco Vanneschi
Consistent reconfiguration protocols for adaptive high-performance applications. IWCMC (2011)
Gabriele Mencagli, Marco Vanneschi
QoS-control of Structured Parallel Computations: A Predictive Control Approach. CloudCom (2011)
Carlo Bertolli, Gabriele Mencagli, Marco Vanneschi
Consistent Rollback Protocols for Autonomic ASSISTANT Applications. Euro-Par Workshops (1) (2011)
Carlo Bertolli, Daniele Buono, Gabriele Mencagli, Marco Vanneschi
An Approach to Mobile Grid Platforms for the Development and Support of Complex Ubiquitous Applications. Int. J. Adv. Pervasive Ubiquitous Comput. 2 (4) (2010)
Carlo Bertolli, Gabriele Mencagli, Marco Vanneschi
Analyzing Memory Requirements for Pervasive Grid Applications. PDP (2010)
Carlo Bertolli, Gabriele Mencagli, Marco Vanneschi
A cost model for autonomic reconfigurations in high-performance pervasive applications. CASEMANS@Ubicomp (2010)
Carlo Bertolli, Daniele Buono, Gabriele Mencagli, Massimo Torquati, Marco Vanneschi, Matteo Mordacchini, Franco Maria Nardini
Resource discovery support for time-critical adaptive applications. IWCMC (2010)
Romano Fantacci, Marco Vanneschi, Carlo Bertolli, Gabriele Mencagli, Daniele Tarchi
Next generation grids and wireless communication networks: towards a novel integrated approach. Wirel. Commun. Mob. Comput. 9 (4) (2009)
Carlo Bertolli, Daniele Buono, Gabriele Mencagli, Marco Vanneschi
Expressing Adaptivity and Context Awareness in the ASSISTANT Programming Model. Autonomics (2009)
Carlo Bertolli, Gabriele Mencagli, Marco Vanneschi
Adaptivity in Risk and Emergency Management Applications on Pervasive Grids. ISPAN (2009)