Expressing Adaptivity and Context Awareness in the ASSISTANT Programming Model. - Carlo Bertolli; Daniele Buono; Gabriele Mencagli; Marco Vanneschi (Autonomics, 2009)

Adaptivity in Risk and Emergency Management Applications on Pervasive Grids. - Carlo Bertolli; Gabriele Mencagli; Marco Vanneschi (ISPAN, 2009)

Next generation grids and wireless communication networks: towards a novel integrated approach. - Romano Fantacci; Marco Vanneschi; Carlo Bertolli; Gabriele Mencagli; Daniele Tarchi (Wirel. Commun. Mob. Comput., 2009)

A cost model for autonomic reconfigurations in high-performance pervasive applications. - Carlo Bertolli; Gabriele Mencagli; Marco Vanneschi (CASEMANS@Ubicomp, 2010)

Resource discovery support for time-critical adaptive applications. - Carlo Bertolli; Daniele Buono; Gabriele Mencagli; Massimo Torquati; Marco Vanneschi; Matteo Mordacchini; Franco Maria Nardini (IWCMC, 2010)

Analyzing Memory Requirements for Pervasive Grid Applications. - Carlo Bertolli; Gabriele Mencagli; Marco Vanneschi (PDP, 2010)

An Approach to Mobile Grid Platforms for the Development and Support of Complex Ubiquitous Applications. - Carlo Bertolli; Daniele Buono; Gabriele Mencagli; Marco Vanneschi (Int. J. Adv. Pervasive Ubiquitous Comput., 2010)

QoS-control of Structured Parallel Computations: A Predictive Control Approach. - Gabriele Mencagli; Marco Vanneschi (CloudCom, 2011)

Consistent Rollback Protocols for Autonomic ASSISTANT Applications. - Carlo Bertolli; Gabriele Mencagli; Marco Vanneschi (Euro-Par Workshops (1), 2011)

Consistent reconfiguration protocols for adaptive high-performance applications. - Carlo Bertolli; Gabriele Mencagli; Marco Vanneschi (IWCMC, 2011)

A Control-Theoretic Methodology for Adaptive Structured Parallel Computations. - Gabriele Mencagli (2012)

Reconfiguration Stability of Adaptive Distributed Parallel Applications through a Cooperative Predictive Control Approach. - Gabriele Mencagli; Marco Vanneschi; Emanuele Vespa (Euro-Par, 2013)

Analysis of control-theoretic predictive strategies for the adaptation of distributed parallel computations. - Gabriele Mencagli; Marco Vanneschi (ORMaCloud, 2013)

Control-theoretic adaptation strategies for autonomic reconfigurable parallel applications on cloud environments. - Gabriele Mencagli; Marco Vanneschi; Emanuele Vespa (HPCS, 2013)

Run-time mechanisms for fine-grained parallelism on network processors: The TILEPro64 experience. - Daniele Buono; Gabriele Mencagli (HPCS, 2014)

A High-Throughput and Low-Latency Parallelization of Window-Based Stream Joins on Multicores. - Daniele Buono; Tiziano De Matteis; Gabriele Mencagli (ISPA, 2014)

Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading. - Daniele Buono; Tiziano De Matteis; Gabriele Mencagli; Marco Vanneschi (PDP, 2014)

Towards a systematic approach to the dynamic adaptation of structured parallel computations using model predictive control. - Gabriele Mencagli; Marco Vanneschi (Clust. Comput., 2014)

Performance analysis and structured parallelisation of the space-time adaptive processing computational kernel on multi-core architectures. - Daniele Buono; Gabriele Mencagli; Alessio Pascucci; Marco Vanneschi (Int. J. Parallel Emergent Distributed Syst., 2014)

A Cooperative Predictive Control Approach to Improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications. - Gabriele Mencagli; Marco Vanneschi; Emanuele Vespa (ACM Trans. Auton. Adapt. Syst., 2014)

A Multicore Parallelization of Continuous Skyline Queries on Data Streams. - Tiziano De Matteis; Salvatore Di Girolamo; Gabriele Mencagli (Euro-Par, 2015)

Parallelizing High-Frequency Trading Applications by Using C++11 Attributes. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (TrustCom/BigDataSE/ISPA (3), 2015)

A divide-and-conquer parallel pattern implementation for multicores. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (SEPS@SPLASH, 2016)

Keep calm and react with foresight: strategies for low-latency and energy-efficient elastic data stream processing. - Tiziano De Matteis; Gabriele Mencagli (PPoPP, 2016)

Efficient Dynamic Memory Allocation in Data Stream Processing Programs. - Marco Danelutto; Gabriele Mencagli; Massimo Torquati (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Continuous skyline queries on multicore architectures. - Tiziano De Matteis; Salvatore Di Girolamo; Gabriele Mencagli (Concurr. Comput. Pract. Exp., 2016)

Adaptive model predictive control of autonomic distributed parallel computations with variable horizons and switching costs. - Gabriele Mencagli (Concurr. Comput. Pract. Exp., 2016)

A Game-Theoretic Approach for Elastic Distributed Data Stream Processing. - Gabriele Mencagli (ACM Trans. Auton. Adapt. Syst., 2016)

Container-Based Support for Autonomic Data Stream Processing Through the Fog. - Antonio Brogi; Gabriele Mencagli; Davide Neri; Jacopo Soldani; Massimo Torquati (Euro-Par Workshops, 2017)

Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators. - Tiziano De Matteis; Gabriele Mencagli (PDP, 2017)

P3ARSEC: towards parallel patterns benchmarking. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati (SAC, 2017)

Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach. - Tiziano De Matteis; Gabriele Mencagli (Int. J. Parallel Program., 2017)

Proactive elasticity and energy awareness in data stream processing. - Tiziano De Matteis; Gabriele Mencagli (J. Syst. Softw., 2017)

Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. - Daniele De Sensi; Tiziano De Matteis; Massimo Torquati; Gabriele Mencagli; Marco Danelutto (ACM Trans. Archit. Code Optim., 2017)

Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. - Gabriele Mencagli; Massimo Torquati; Marco Danelutto; Tiziano De Matteis (IEEE Trans. Parallel Distributed Syst., 2017)

Introduction to MPP 2018. - Leandro A. J. Marzulo; Felipe Maia Galvão França; Cristiana Bentes; Gabriele Mencagli (IPDPS Workshops, 2018)

SpinStreams: a Static Optimization Tool for Data Stream Processing Applications. - Gabriele Mencagli; Patrizio Dazzi; Nicolò Tonci (Middleware, 2018)

Efficient NAS Benchmark Kernels with C++ Parallel Programming. - Dalvan Griebler; Junior Loff; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2018)

Reducing Message Latency and CPU Utilization in the CAF Actor Framework. - Massimo Torquati; Tullio Menga; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli (PDP, 2018)

Parallel Stream Processing with MPI for Video Analytics and Data Visualization. - Adriano Vogel; Cassiano Rista; Gabriel Justo; Endrius Ewald; Dalvan Griebler; Gabriele Mencagli; Luiz Gustavo Fernandes (WSCAD (Selected Papers), 2018)

Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams. - Gabriele Mencagli; Massimo Torquati; Marco Danelutto (Future Gener. Comput. Syst., 2018)

The home-forwarding mechanism to reduce the cache coherence overhead in next-generation CMPs. - Gabriele Mencagli; Marco Vanneschi; Silvia Lametti (Future Gener. Comput. Syst., 2018)

State access patterns in stream parallel computations. - Marco Danelutto; Peter Kilpatrick; Gabriele Mencagli; Massimo Torquati (Int. J. High Perform. Comput. Appl., 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)

Data stream processing via code annotations. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (J. Supercomput., 2018)

Efficient NAS Benchmark Kernels with C++ Parallel Programming Frameworks for Multi-Cores. - Dalvan Griebler; Junior Loff; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (Zenodo, 2018)

Autonomic management experiences in structured parallel programming. - Marco Danelutto; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati (HPCS, 2019)

Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges. - Dinei A. Rockenbach; Charles Michael Stein; Dalvan Griebler; Gabriele Mencagli; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (IPDPS Workshops, 2019)

Accelerating Actor-Based Applications with Parallel Patterns. - Luca Rinaldi; Massimo Torquati; Gabriele Mencagli; Marco Danelutto; Tullio Menga (PDP, 2019)

GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. - Tiziano De Matteis; Gabriele Mencagli; Daniele De Sensi; Massimo Torquati; Marco Danelutto (IEEE Access, 2019)

Raising the Parallel Abstraction Level for Streaming Analytics Applications. - Gabriele Mencagli; Massimo Torquati; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (IEEE Access, 2019)

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

New Landscapes of the Data Stream Processing in the era of Fog Computing. - Valeria Cardellini; Gabriele Mencagli; Domenico Talia; Massimo Torquati (Future Gener. Comput. Syst., 2019)

A dataflow runtime environment and static scheduler for edge, fog and in-situ computing. - 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 (Int. J. Grid Util. Comput., 2019)

Special issue on parallel applications for in-situ computing on the next-generation computing platforms. - Gabriele Mencagli; Felipe M. G. França; Cristiana Bentes Seidel; Leandro A. J. Marzulo; Maurício Lima Pilla (Int. J. High Perform. Comput. Appl., 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)

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)

High-throughput stream processing with actors. - Luca Rinaldi; Massimo Torquati; Gabriele Mencagli; Marco Danelutto (AGERE!@SPLASH, 2020)

Workshop 15: MPP Parallel Programming Models - Special Edition Machine Learning Performance and Security. - Leandro A. J. Marzulo; Tiago A. O. Alves; Cristiana Bentes; Gabriele Mencagli (IPDPS Workshops, 2020)

DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems. - Maycon Viana Bordin; Dalvan Griebler; Gabriele Mencagli; Cláudio F. R. Geyer; Luiz Gustavo Leão Fernandes (IEEE Access, 2020)

Improving the Performance of Actors on Multi-cores with Parallel Patterns. - Luca Rinaldi; Massimo Torquati; Daniele De Sensi; Gabriele Mencagli; Marco Danelutto (Int. J. Parallel Program., 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)

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)

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. - Davide Bacciu; Siranush Akarmazyan; Eric Armengaud; Manlio Bacco; George Bravos; Calogero Calandra; Emanuele Carlini; Antonio Carta; Pietro Cassarà; Massimo Coppola; Charalampos Davalas; Patrizio Dazzi; et al. (COINS, 2021)

An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. - Emanuele Carlini; Lorenzo Carnevale; Massimo Coppola; Patrizio Dazzi; Gabriele Mencagli; Domenico Talia; Massimo Villari (FRAME@HPDC, 2021)

Lachesis: a middleware for customizing OS scheduling of stream processing queries. - Dimitris Palyvos-Giannas; Gabriele Mencagli; Marina Papatriantafilou; Vincenzo Gulisano (Middleware, 2021)

Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2021)

The 4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021). - Valeria Cardellini; Gabriele Mencagli; Massimo Torquati (ICPE, 2021)

Novel parallel processing techniques for IoT-based machine learning applications. - Cristiana Barbosa Bentes; Felipe M. G. França; Leandro Augusto Justen Marzulo; Gabriele Mencagli; Maurício Lima Pilla (Concurr. Comput. Pract. Exp., 2021)

Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units. - Charles Michael Stein; Dinei A. Rockenbach; Dalvan Griebler; Massimo Torquati; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (Concurr. Comput. Pract. Exp., 2021)

The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. - Júnior Löff; Dalvan Griebler; Gabriele Mencagli; Gabriell Alves de Araujo; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (Future Gener. Comput. Syst., 2021)

Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming. - Marco Danelutto; Gabriele Mencagli; Massimo Torquati; Horacio González-Vélez; Peter Kilpatrick (Int. J. Parallel Program., 2021)

WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks. - Gabriele Mencagli; Massimo Torquati; Andrea Cardaci; Alessandra Fais; Luca Rinaldi; Marco Danelutto (IEEE Trans. Parallel Distributed Syst., 2021)

NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. - Júnior Löff; Dalvan Griebler; Gabriele Mencagli; Gabriell Alves de Araujo; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (Zenodo, 2021)

Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. - Gabriele Mencagli; Dalvan Griebler; Marco Danelutto (PDP, 2022)

Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. - Fausto Frasca; Vincenzo Gulisano; Gabriele Mencagli; Dimitris Palyvos-Giannas; Massimo Torquati (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)

Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing. - Ricardo Leonarczyk; Dalvan Griebler; Gabriele Mencagli; Marco Danelutto (Euro-Par Workshops (1), 2023)

FastFlow targeting FPGAs. - Marco Danelutto; Gabriele Mencagli; Alberto Ottimo; Francesco Iannone; Paolo Palazzari (PDP, 2023)

FSP: a Framework for Data Stream Processing Applications targeting FPGAs. - Alberto Ottimo; Gabriele Mencagli; Marco Danelutto (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)

Distributed-Memory FastFlow Building Blocks. - Nicolò Tonci; Massimo Torquati; Gabriele Mencagli; Marco Danelutto (Int. J. Parallel Program., 2023)

Online and transparent self-adaptation of stream parallel patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Computing, 2023)

Seamless FPGA Integration with Stream Processing Engines. - Alberto Ottimo; Gabriele Mencagli; Marco Danelutto (Euro-Par Workshops (2), 2024)

OUTFIT: Crowdsourced Data Feeding Noise Maps in Digital Twins. - Elena Ascari; Mauro Cerchiai; Pasquale Gorrasi; Antonella Longo; Gabriele Mencagli; Francesca Miccoli; Marco Zappatore (FRAME@HPDC, 2024)

General-purpose data stream processing on heterogeneous architectures with WindFlow. - Gabriele Mencagli; Massimo Torquati; Dalvan Griebler; Alessandra Fais; Marco Danelutto (J. Parallel Distributed Comput., 2024)

Boosting general-purpose stream processing with reconfigurable hardware. - Alberto Ottimo; Gabriele Mencagli; Marco Danelutto (J. Supercomput., 2024)

Springald: GPU-Accelerated Window-Based Aggregates Over Out-of-Order Data Streams. - Gabriele Mencagli; Patrizio Dazzi; Massimo Coppola (IEEE Trans. Parallel Distributed Syst., 2024)

PPOIJ: Shared-Nothing Parallel Patterns for Efficient Online Interval Joins over Data Streams. - Gabriele Mencagli; Yuriy Rymarchuk; Dalvan Griebler (DEBS, 2025)

Scalable compute continuum. - Valeria Cardellini; Patrizio Dazzi; Gabriele Mencagli; Matteo Nardelli 001; Massimo Torquati (Future Gener. Comput. Syst., 2025)

Larger-Than-Memory Stateful Stream Processing with WindFlow. - Simone Frassinelli; Gabriele Mencagli (Int. J. Parallel Program., 2025)

Self-Adaptive Micro-Batching for Low-Latency GPU-Accelerated Stream Processing. - Ricardo Leonarczyk; Gabriele Mencagli; Dalvan Griebler (Int. J. Parallel Program., 2025)